Table of Contents

• Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal SheepHamid Abbasi, Alistair J. Gunn, Charles P. Unsworth, Laura Bennet. 1-4 [doi]
• *Marcel Böttrich, Daniel Laqua, Peter Husar. 1-4 [doi]
• Automating the correction of flow integration drift during whole-body plethysmographyFrédéric Stucky, Giacomo Cazzaniga, Andrea Aliverti, Bengt Kayser, Barbara Uva. 5-8 [doi]
• Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectraKrishna Chaitanya Patchava, Mohammed Benaissa, Shuzhi Sam Ge. 9-12 [doi]
• *Noushin Jafarpisheh, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz. 13-16 [doi]
• *Yannick D'Mello, James Skoric, Siddiqui Hakim, Ezz Aboulezz, Nathan Clairmonte, Michel Lortie, David V. Plant. 17-20 [doi]
• Analysis of Electrohysterographic Signal Propagation Direction during Uterine Contraction: the Application of Directed InformationYuhang Xu, Dongmei Hao, Dingchang Zheng. 21-25 [doi]
• *Yuri Antonacci, Luca Faes, Laura Astolfi. 26-29 [doi]
• Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease ContinuumSaúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Marcos Revilla-Vallejo, Víctor Gutiérrez-de Pablo, Víctor Rodríguez-González, Aaron Maturana-Candelas, Roberto Hornero. 30-33 [doi]
• *Alejandro Gomez, Olga Lucía Quintero, Natalia M. Lopez Celani, Luisa F. Villa. 34-37 [doi]
• *Shuguan Cheng, Mengmeng Li, Haifei Yu, Kun Zhao, Shuo Liu, Hong Wan. 38-41 [doi]
• The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG StudyZian Pei, Tao Xu, Anastasios Bezerianos, Junhua Li, Yu Sun 0014, Hongtao Wang. 42-45 [doi]
• *Filip Plesinger, Josef Halámek, Jan Chládek, Pavel Jurák, I. Dolezalova, J. Chrastina, Milan Brazdil. 46-49 [doi]
• A Spectral Clustering Approach for the Classification of Waveform Anomalies in High-Dimensional Brain SignalsCatherine Stamoulis. 50-53 [doi]
• Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal RecognitionShadi Ghiasi, Andrea Patanè, Alberto Greco 0001, Luca Laurenti, Enzo Pasquale Scilingo, Marta Z. Kwiatkowska. 54-57 [doi]
• Random Forest-based Algorithm for Sleep Spindle Detection in Infant EEGLan Wei, Soraia Ventura, Madeleine M. Lowery, Mary Anne Ryan, Sean Mathieson, Geraldine B. Boylan, Catherine Mooney. 58-61 [doi]
• Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the BrainwavesRoneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li. 62-65 [doi]
• Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronizationHaruko Yagura, Hiroki Tanaka, Taiki Kinoshita, Hiroki Watanabe, Shunnosuke Motomura, Katsuhito Sudoh, Satoshi Nakamura 0001. 66-69 [doi]
• Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of SepsisSajila D. Wickramaratne, M. D. Shaad Mahmud. 70-73 [doi]
• Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound ClassificationTomoya Koike, Kun Qian 0003, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto. 74-77 [doi]
• Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility StudyJ. Gerolami, Amoon Jamzad, Sijia Li, Sharareh Bayat, Purang Abolmaesumi, Parvin Mousavi. 78-81 [doi]
• Locating patterns in Nanopore currents using time-warped signal representation of consensus nucleotides for demultiplexing and motif detectionAlbert S. W. Kang, Anton J. Enright. 82-86 [doi]
• Enabling context aware data analysis for long-duration repetitive stooped work through human activity recognition in sheep shearingMark Robinson, Lei Lu, Ying Tan 0001, Kusal Goonewardena, Denny Oetomo, Chris Manzie. 87-90 [doi]
• Exploration of the physiological response to an online gambling task by frequency domain analysis of the electrodermal activityGiulia Rocco, Pierluigi Reali, Riccardo Lolatto, Giulia Tacchino, Marco Mandolfo, Alessandra Mazzola, Anna M. Bianchi. 91-94 [doi]
• Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based ApproachRachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard Sowers. 95-98 [doi]
• Deep transfer learning for improving single-EEG arousal detectionAlexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen. 99-103 [doi]
• Deep learning for estimation of functional brain maturation from EEG of premature neonatesLaura Gschwandtner, Manfred Hartmann, Lisa Oberdorfer, Franz Fürbass, Katrin Klebermaß-Schrehof, Tobias Werther, Nathan J. Stevenson, Gerhard Gritsch, Hannes Perko, Angelika Berger, Tilmann Kluge, Vito Giordano. 104-107 [doi]
• Emotion Recognition with Refined Labels for Deep LearningSu Zhang 0004, Cuntai Guan. 108-111 [doi]
• Machine Learning with Imbalanced EEG Datasets using Outlier-based SamplingNizar Islah, Jamie Koerner, Roman Genov, Taufik A. Valiante, Gerard O'Leary. 112-115 [doi]
• EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRUWai-Cheong Lincoln Lew, Di Wang 0004, Katsiaryna Shylouskaya, Zhuo Zhang 0001, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan. 116-119 [doi]
• Depression Scale Prediction with Cross-Sample Entropy and Deep LearningGuan-Yen Chen, Chih-Mao Huang, Ho-Ling Liu, Shwu-Hua Lee, Tatia Mei-Chun Lee, Chemin Lin, Shun Chi Wu. 120-123 [doi]
• Spatio-temporal deep learning for EEG-fNIRS brain computer interfaceHamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani. 124-127 [doi]
• EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention MechanismXiaowei Zhang 0001, Junlei Li, Kechen Hou, Bin Hu 0001, Jian Shen, Jing Pan. 128-133 [doi]
• Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural NetworksKonstantinos Patlatzoglou, Srivas Chennu, Olivia Gosseries, Vincent Bonhomme, Audrey Wolff, Steven Laureys. 134-137 [doi]
• Automatic detection of artifacts in EEG by combining deep learning and histogram contour processingNooshin Bahador, Kristo Erikson, Jouko Laurila, Juha Koskenkari, Tero Ala-Kokko, Jukka Kortelainen. 138-141 [doi]
• Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic SignalsOleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain. 142-145 [doi]
• Predicting Age with Deep Neural Networks from PolysomnogramsAndreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum. 146-149 [doi]
• A machine learning method for automatic detection and classification of patient-ventilator asynchronyTom H. G. F. Bakkes, R. J. H. Montree, Massimo Mischi, F. Mojoli, Simona Turco. 150-153 [doi]
• Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic RecordingsSajila D. Wickramaratne, M. D. Shaad Mahmud. 154-157 [doi]
• Emergency Clinical Procedure Detection With Deep LearningLingfeng Li, Richard A. Paris, Conner Pinson, Yan Wang, Joseph Coco, Jamison Heard, Julie A. Adams, Daniel Fabbri, Bobby Bodenheimer. 158-163 [doi]
• Robust Deep Learning Framework For Predicting Respiratory Anomalies and DiseasesLam Dang Pham, Ian Vince McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan. 164-167 [doi]
• Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart SoundsMelkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste. 168-171 [doi]
• An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation DataMinmin Zhang, Changchun Pan, Haichun Liu, Qinting Zhang, Haozhe Li. 172-175 [doi]
• Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force EstimationXiao Tang, Maoqi Chen, Xun Chen, Xiang Chen, Xu Zhang. 176-179 [doi]
• Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS SpectraT. A. Saifuzzaman, Khuan Y. Lee, A. R. M. Radzol, P. S. Wong, Irene Looi. 180-183 [doi]
• Attention Networks for Multi-Task Signal AnalysisDavid Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson. 184-187 [doi]
• Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional NetworksSanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon. 188-191 [doi]
• Classify Motor Imagery by a Novel CNN with Data AugmentationWeijian Huang, Li Wang, Zhenxiong Yan, Yanjun Liu. 192-195 [doi]
• Potential pitfalls of widely used implementations of common spatial patternsMilan Rybár, Ian Daly, Riccardo Poli. 196-199 [doi]
• Inter-subject correlations during natural viewing: A filter-bank approachArslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli. 200-203 [doi]
• Stereo-electroencephalography (SEEG) reference based on low-variance signalsDaniel Uher, Petr Klimes, Jan Cimbalnik, Robert Roman, Martin Pail, Milan Brazdil, Pavel Jurák. 204-207 [doi]
• A Comprehensive Approach for Classification of the Cough TypeEbrahim Nemati, Md. Mahbubur Rahman, Viswam Nathan, Korosh Vatanparvar, Jilong Kuang. 208-212 [doi]
• Introducing a Deflationary Approach to Space-Time ICA that uses temporal methods in Brain Signals ProcessingHok Y. S. Chiu, Christopher J. James. 213-216 [doi]
• Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recordingGan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang. 217-220 [doi]
• *Nathan Clairmonte, James Skoric, Yannick D'Mello, Siddiqui Hakim, Ezz Aboulezz, Michel Lortie, David V. Plant. 221-224 [doi]
• Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous RecordingsAnjulie S. Agrusa, Alexis B. Allegra, David C. Kunkel, Todd P. Coleman. 225-231 [doi]
• High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network RegressionYu-Chiao Tsai, Shih-Hsuan Lai, Ching-Ju Ho, Fang-Ming Wu, Lindor Henrickson, Chia-Chien Wei, Irwin Chen, Vincent Wu, Jyehong Chen. 232-235 [doi]
• Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVMSai Bharadwaj Appakaya, Ravi Sankar. 236-239 [doi]
• Impulse Classification Network for Video Head Impulse TestShokhrukh Baydadaev, Saidrasul Usmankhujaev, Jangwoo Kwon, Kyusung Kim. 240-243 [doi]
• Prediction of Freezing of Gait in Parkinson's Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural NetworkGaurav Shalin, Scott Pardoel, Julie Nantel, Edward D. Lemaire, Jonathan Kofman. 244-247 [doi]
• EEG-based Driving Fatigue Detection during Operating the Steering Wheel Data SectionBing Zou, Mu Shen, Xinhang Li, Yubo Zheng, Lin Zhang. 248-251 [doi]
• Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness DetectionMu Shen, Bing Zou, Xinhang Li, Yubo Zheng, Lin Zhang. 252-255 [doi]
• Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEGYuling Li, Shasha Xiao, Yingjie Li, Yunxia Li, Banghua Yang. 256-259 [doi]
• MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and DetachmentSeong-eun Moon, Jong-Seok Lee. 260-263 [doi]
• EEG-based Neglect Detection for Stroke PatientsDeniz Kocanaogullari, Jennifer Mak, Jessica Kersey, Aya Khalaf, Sarah Ostadabbas, George F. Wittenberg, Elizabeth Skidmore, Murat Akçakaya. 264-267 [doi]
• Sequential Attention-based Detection of Semantic Incongruities from EEG While Listening to SpeechShunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura 0001. 268-271 [doi]
• Improving EEG-based error detection using relative peak featuresAdrian L. Ashley, Mahnaz Arvaneh. 272-275 [doi]
• Reliability of Electroencephalogram-Based Individual Markers - Case StudyTuuli Uudeberg, Laura Päeske, Hiie Hinrikus, Jaanus Lass, Maie Bachmann. 276-279 [doi]
• Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometrySusmit Bhowmik, Mohammod Abdul Motin, Marc Sarossy, Peter J. Radcliffe, Dinesh Kant Kumar. 280-283 [doi]
• Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professionsGeorge Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari. 284-287 [doi]
• Robust Classification of Cardiac Arrhythmia Using a Deep Neural NetworkConnor Lennox, M. D. Shaad Mahmud. 288-291 [doi]
• Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal ProcessingPo-Ya Hsu, Chung-Kuan Cheng. 292-295 [doi]
• Feature matching based ECG generative network for arrhythmia event augmentationFan Cao, Aamani Budhota, Chen Hao, Kuldeep Singh Rajput. 296-299 [doi]
• Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia ClassificationSricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohansankar Sivaprakasam. 300-303 [doi]
• Unsupervised Domain Adaptation for ECG Arrhythmia ClassificationMing Chen, Guijin Wang, Zijian Ding, Jiawei Li, Huazhong Yang. 304-307 [doi]
• Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data AugmentationTianjie Lan, Qihan Hu, Xin Liu, Kaiyue He, Cuiwei Yang. 308-311 [doi]
• A faster approach to ECG analysis in emergency situationsMarco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio. 312-315 [doi]
• A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention MechanismYibo Gao, Huan Wang, Zuhao Liu. 316-319 [doi]
• Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care UnitsLaura Cabrera Quiros, Gabriele Varisco, Zhuozhao Zhan, Xi Long, Peter Andriessen, Eduardus J. E. Cottaar, Carola van Pul. 320-323 [doi]
• A New Spectrum Driven Index for the Assessment of ECG Signal QualityDelaram Jarchi, Ales Procházka, Saeid Sanei. 324-327 [doi]
• MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG CompressionMahdi Shamsi, Tohid Yousefi Rezaii, Soosan Beheshti. 328-331 [doi]
• A Graph-constrained Changepoint Detection Approach for ECG SegmentationAtiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah. 332-336 [doi]
• Detection of Premature Ventricular Complexes using Semisupervised Autoencoders and Random ForestsVignesh Kalidas, Lakshman S. Tamil. 337-340 [doi]
• Adversarial Multi-Task Learning for Robust End-to-End ECG-based Heartbeat ClassificationMostafa Ali Shahin, Ethan Oo, Beena Ahmed. 341-344 [doi]
• RPnet: A Deep Learning approach for robust R Peak detection in noisy ECGSricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohansankar Sivaprakasam. 345-348 [doi]
• Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS OnsetKaiyue He, Gaoyan Zhong, Xiaoman Ding, Cuiwei Yang. 349-352 [doi]
• Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECGJing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang. 353-356 [doi]
• Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG AnalysisChen Hao, Sandi Wibowo, Kuldeep Singh Rajput. 357-360 [doi]
• Individualized closed-loop anesthesia through patient model partitioningYlva Wahlquist, Klaske van Heusden, Guy Albert Dumont, Kristian Soltesz. 361-364 [doi]
• Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge DetectionKeiichiro Inagaki, Seiya Imanaka. 365-368 [doi]
• Efficiently Training Two-DoF Hand-Wrist EMG-Force ModelsBerj L. Bardakjian, Ziling Zhu, Jianan Li, Xinming Huang, Chenyun Dai, Carlos H. Martinez Luna, Benjamin E. McDonald, Todd R. Farrell, Edward A. Clancy. 369-373 [doi]
• Robust Modelling of Reflectance Pulse Oximetry for SpO2 EstimationSricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohansankar Sivaprakasam. 374-377 [doi]
• Self-Regulated and Co-ordinated Smart Tumor Homing for Complex Vascular NetworksMuhammad Ali, Neda Sharifi, Nicholas McGrath, Michael J. Cree, Yifan Chen. 378-381 [doi]
• Reducing tachycardia in septic shock patients: do esmolol and ivabradine have a chronotropic effect only?Marta Carrara, Arianna Niccolò, Antoine Herpain, Manuela Ferrario. 382-385 [doi]
• Roles of the Cerebellar Interneurons on Vestibulo-Ocular Reflex Motor Learning: A Computational StudyTakagi Ryunosuke, Taiga Matsuda, Keiichiro Inagaki. 386-389 [doi]
• Effect of stimulation duration to the existence of initial dipM. N. Afzal Khan, M. Raheel Bhutta, Keum-Shik Hong. 390-393 [doi]
• Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in InfantsMurtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani. 394-397 [doi]
• Modeling BOLD-fMRI Hemodynamics via Multidimensional Decomposition of Electrophysiology Data: A Simulation StudyDylan Mann Krzisnik, Georgios D. Mitsis. 398-401 [doi]
• Pole-Zero REM Modeling with Application in EEG Artifact RemovalFarah Nassif, Tohid Yousefi Rezaii, Soosan Beheshti. 402-405 [doi]
• Data Augmentation for Automatic Identification of Spatiotemporal Dispersion Electrograms in Persistent Atrial Fibrillation Ablation Using Machine LearningAmina Ghrissi, Douglas Almonfrey, Rafael Costa de Almeida, Fabien Squara, Johan Montagnat, Vicente Zarzoso. 406-409 [doi]
• Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other LocationsG. Luongo, L. Azzolin, Massimo Walter Rivolta, R. Sassi, J. P. Martínez, Pablo Laguna, Olaf Dössel, Andrew Lowe. 410-413 [doi]
• Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac ElectrogramsVasanth Ravikumar, Elena G. Tolkacheva. 414-417 [doi]
• A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram AbnormalitiesHongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang. 418-421 [doi]
• Disentangled Adversarial Transfer Learning for Physiological BiosignalsMo Han, Ozan Özdenizci, Ye Wang 0001, Toshiaki Koike-Akino, Deniz Erdogmus. 422-425 [doi]
• Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor DataJavier Saiz-Vivo, Valentina D. A. Corino, Mirko De Melis, Luca T. Mainardi. 426-429 [doi]
• The Impact of Electrode Density and Precision on Brain-Computer InterfacesPegah Aarabi, Parham Aarabi. 430-433 [doi]
• EEG Signal Classification Using Convolutional Neural Networks on Combined Spatial and Temporal Dimensions for BCI SystemsAyman M. Anwar, Ayman M. Eldeib. 434-437 [doi]
• Detecting EEG outliers for BCI on the Riemannian manifold using spectral clusteringMaria Sayu Yamamoto, Khadijeh Sadatnejad, Toshihisa Tanaka, Md. Rabiul Islam 0001, Yuichi Tanaka 0001, Fabien Lotte. 438-441 [doi]
• Siamese Neural Networks for EEG-based Brain-computer InterfacesSoroosh Shahtalebi, Amir Asif, Arash Mohammadi 0001. 442-446 [doi]
• Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognitionKhairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama. 447-450 [doi]
• Heartbeat Detection and Rate Estimation from Ballistocardiograms using the Gated Recurrent Unit NetworkDong Hai, Chao Chen, Ruhan Yi, Shuiping Gou, Bo Yu Su, Changzhe Jiao, Marjorie Skubic. 451-454 [doi]
• Unobtrusive Inter-beat Interval Estimation from Multichannel Ballistocardiogram Signal Using Kalman FilterYongfeng Huang, Chenxi Sun, Tianchen Jin, Shuchen Yang, Zhiming Zhang. 455-460 [doi]
• Enhancement of Synchronization between Physiological Signals during Exercise: A Preliminary InvestigationSean Perry, Natasha A. Khovanova, Igor Khovanov. 461-464 [doi]
• U-Net Neural Network for Heartbeat Detection in BallistocardiographyGuillaume Cathelain, Bertrand Rivet, Sophie Achard, Jean Bergounioux, François Jouen. 465-468 [doi]
• Method for measurement of arterial compliance by fusion of oscillometry and pulse wave velocityLaura Bogatu, Simona Turco, Massimo Mischi, Pierre Woerlee, A. Bouwman, Erik Korsten, Jens Muehlsteff. 469-472 [doi]
• Localizing Placement of Cardiomechanical Sensors during Dynamic Periods via Template MatchingJonathan Zia, Jacob Kimball, Omer T. Inan. 473-476 [doi]
• *Yuki Iwata, Koichiro Ishibashi, Guanghao Sun, Ha Manh Luu, Trong Thanh Han, Nguyen Linh-Trung, Do Trong Tuan. 477-480 [doi]
• Detection of Respiratory Signal Based on Depth Camera Body TrackingFan Yang, Zixiong Han, Miodrag Bolic. 481-484 [doi]
• Body Orientation and Vital Sign Measurement With IR-UWB Radar NetworkXiuzhu Yang, Yibo Yu, Hongyu Qian, Xinyue Zhang, Lin Zhang. 485-488 [doi]
• A Joint Localization Assisted Respiratory Rate Estimation using IR-UWB RadarsShan He, Varun Mehta, Miodrag Bolic. 489-493 [doi]
• Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-meal Plate-to-Mouth Movement ElongationKonstantinos Kyritsis, Peter Fagerberg, Ioannis Ioakimidis, Lisa Klingelhöfer, Heinz Reichmann, Anastasios Delopoulos. 494-497 [doi]
• Neural component analysis: source localisation for motor imagery classificationIan Daly, Milan Rybár. 498-501 [doi]
• Online Recursive ICA Algorithm Used for Motor Imagery EEG SignalXueyi Lin, Lu Wang 0010, Tomoaki Ohtsuki. 502-505 [doi]
• Random matrix theory for analysing the brain functional network in lower limb motor imageryLingyun Gu, Zhenhua Yu, Tian Ma, Haixian Wang, Zhanli Li, Hui Fan. 506-509 [doi]
• MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer ParametersQihang Yang, Xuan Zhang, Badong Chen. 510-513 [doi]
• A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor ImageryCe Zhang, Azim Eskandarian. 514-518 [doi]
• *Oluwagbenga Paul Idowu, Peng Fang, Guanglin Li. 519-522 [doi]
• AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and ClassificationXiaomu Song, Luis Aguilar, Suk-Chung Yoon. 523-527 [doi]
• Unsupervised Online Learning for Long-Term High Sensitivity Seizure DetectionAdelson Chua, Michael I. Jordan, Rikky Muller. 528-531 [doi]
• Automatic Absence Seizures Detection in EEG signals: An Unsupervised ModuleKostas M. Tsiouris, Spyridon Konitsiotis, Dimitrios A. Gatsios, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis. 532-535 [doi]
• Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional ComputingFatemeh Asgarinejad, Anthony Thomas, Tajana Rosing. 536-540 [doi]
• Tensor-based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure PredictionRenjie Zhang, Xinyu Jiang, Chenyun Dai, Wei Chen 0015. 541-544 [doi]
• Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural NetworksRoneel V. Sharan, Shlomo Berkovsky. 545-548 [doi]
• Influence of Individual Heart Rate on Nonlinear Brain-Heart Interactions Estimated by Convergent Cross Mapping in Schizophrenic Patients and Healthy ControlsKarin Schiecke, Andy Schumann, Karl-Jürgen Bär. 549-552 [doi]
• Methodological Considerations on EEG Electrical Reference: A Functional Brain-Heart Interplay StudyDiego Candia-Rivera, Vincenzo Catrambone, Gaetano Valenza. 553-556 [doi]
• An Inhomogeneous Point-process Model for the Assessment of the Brain-to-Heart Functional Interplay: a Pilot StudyAlireza Talebi, Vincenzo Catrambone, Riccardo Barbieri, Gaetano Valenza. 557-560 [doi]
• Quantifying Functional Links between Brain and Heartbeat Dynamics in the Multifractal Domain: a Preliminary AnalysisVincenzo Catrambone, Herwig Wendt, Riccardo Barbieri, Patrice Abry, Gaetano Valenza. 561-564 [doi]
• Closed-loop Electroencephalogram-based modulated audio to fall and deepen sleep fasterGary Garcia Molina, Boomika Kalyan, Antonio Aquino. 565-568 [doi]
• Neural Memory Networks for Seizure Type ClassificationDavid Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes. 569-575 [doi]
• Emotion assessment using Machine Learning and low-cost wearable devicesRita Laureanti, Marco Bilucaglia, Margherita Zito, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, C. Oldrini, Luca T. Mainardi, Vincenzo Russo. 576-579 [doi]
• Multi-label Arrhythmia Classification from Fixed-length Compressed ECG Segments in Real-time Wearable ECG MonitoringYunfei Cheng, Yalan Ye, Mengshu Hou, Wenwen He, Tongjie Pan. 580-583 [doi]
• Assessment of Athletes' Attitude: Physiological Evaluation via Wearable Sensors during Grappling CompetitionsGianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Vincenzo Ronca, Alessia Vozzi, Fabio Babiloni. 584-587 [doi]
• Poincaré Descriptors for Identifying Hemiparesis in Acute Stroke using Wearable AccelerometryShreyasi Datta, Chandan K. Karmakar, Bernard Yan, Marimuthu Palaniswami. 588-591 [doi]
• Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation TechniqueMd Billal Hossain, Jesús Lázaro 0002, Yeon-Sik Noh, Ki H. Chon. 592-595 [doi]
• Electrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable ArmbandJesús Lázaro 0002, Natasa Reljin, Raquel Bailón, Eduardo Gil, Yeon-Sik Noh, Pablo Laguna, Ki H. Chon. 596-599 [doi]
• Automated movement detection reveals features of maturation in preterm infantsIan Zuzarte, Alan H. Gee, Dagmar Sternad, David Paydarfar. 600-603 [doi]
• Estimating Fetal Age by Fetal Maternal Heart Rate Coupling ParametersAhsan H. Khandoker, Maisam Wahbah, Raghad Al Sakaji, Kiyoe Funamoto, Anita Krishnan, Yoshitaka Kimura. 604-607 [doi]
• Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate ExtractionEleni Fotiadou, M. Xu, B. van Erp, Ruud J. G. van Sloun, Rik Vullings. 608-611 [doi]
• A Point Process Framework for the Characterization of Fetal Sleep StatesNicolò Pini, Maristella Lucchini, William P. Fifer, Riccardo Barbieri. 612-615 [doi]
• Joint Multiple Subspace-based BSS Method for Fetal Heart Rate Extraction from Non-invasive RecordingsLu Wang 0010, Tomoaki Ohtsuki, Kazunari Owada, Naoki Honma, Hayato Hayashi. 616-620 [doi]
• Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate RecordingsEmerson Keenan, Radhagayathri K. Udhayakumar, Chandan K. Karmakar, Fiona C. Brownfoot, Marimuthu Palaniswami. 621-624 [doi]
• Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural NetworkWenshuai Wang, Pan Liao, Yi Sun, Guiping Su, Shiwei Ye, Yan Liu. 625-628 [doi]
• Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography RecordingsSamantha Sun, Linxing Preston Jiang, Steven M. Peterson, Jeffrey Herron, Kurt E. Weaver, Andrew L. Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao. 629-632 [doi]
• Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural NetworksFernando Vaquerizo-Villar, Daniel Álvarez, Leila Kheirandish-Gozal, Gonzalo C. Gutiérrez-Tobal, Javier Gomez-Pilar, Andrea Crespo, Félix del Campo, David Gozal, Roberto Hornero. 633-636 [doi]
• ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep ApneaRoneel V. Sharan, Shlomo Berkovsky, Hao Xiong, Enrico W. Coiera. 637-640 [doi]
• TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEGAkara Supratak, Yike Guo. 641-644 [doi]
• Predicting Sleep Classification Performance without LabelsKaare B. Mikkelsen, Yousef R. Tabar, Preben Kidmose. 645-648 [doi]
• A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNetYuzhou Lin, Ramaswamy Palaniappan, Philippe De Wilde, Ling Li. 649-652 [doi]
• Pose Estimation from Electromyographical Data using Convolutional Neural NetworksRobin Ayling, Colin G. Johnson, Ling Li, Ramaswamy Palaniappan. 653-656 [doi]
• Recurrent Fusion of Time-Domain Descriptors Improves EMG-based Hand Movement RecognitionAhmed A. Al-Tae, Rami N. Khushaba, Ali H. Al-Timemy, Adel Al-Jumaily. 657-661 [doi]
• Classification of facial movements in chronic facial palsy based on intramuscular EMG signals recorded from the paretic sideLutz Leistritz, Jakob Hochreiter, Fabian E. Bachl, Gerd Fabian Volk. 662-665 [doi]
• Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning MachineMauricio C. Tosin, Leia B. Bagesteiro, Alexandre Balbinot. 666-669 [doi]
• Trapezius or facial muscles: Which one is more suitable for the measurement of stress using sEMG signals?M. Fatima, K. Gulzar, Reswanul K. Khan, F. Amjad, M. Shafique. 670-673 [doi]
• Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG ClassificationTakayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama. 674-677 [doi]
• Entropy and Clustering Information Applied to sEMG ClassificationLuiz J. L. Barbosa, Otávio Nogueira, Vinícius O. Silva, Paulo V. P. Cotta, Fernando V. G. de Souza, Michael D. C. de Araujo, Pedro H. G. Inazawa, Alberto López Delis, Adson F. da Rocha. 678-681 [doi]
• Hand gesture recognition using surface electromyographyHajar Sharif, Seung Byum Seo, Thenkurussi Kesavadas. 682-685 [doi]
• On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic DeviceArtemiy Oleinikov, Berdakh Abibullaev, Michele Folgheraiter. 686-689 [doi]
• A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals using Instantaneous Spectral CentroidS. Edward Jero, K. Divya Bharathi, S. Ramakrishnan. 690-693 [doi]
• Neuromuscular Disease Detection Employing Deep Feature Extraction from Cross Spectrum Images of Electromyography SignalsKaniska Samanta, Sayanjit Singha Roy, Sudip Modak, Soumya Chatterjee, Rohit Bose. 694-697 [doi]
• Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human EpilepsyLaura Gagliano, Elie Bou Assi, Dènahin Hinnoutondji Toffa, Dang Khoa Nguyen, Mohamad Sawan. 698-701 [doi]
• Time-Frequency Analysis of Cardiovascular Variability during an Orthostatic Stress by Complete EMDN. Alvarado-Alvarez, Sonia Charleston-Villalobos, S. Reulecke, Guadalupe Dorantes-Méndez, Andreas Voss, Ramón González-Camarena, Tomás Aljama-Corrales. 702-705 [doi]
• A quality metric for heart rate variability from photoplethysmogram sensor dataMattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg Hipp, Michael Lindemann. 706-709 [doi]
• Sex Differences in Heart Rate Nonlinearity by Multifractal Multiscale Detrended Fluctuation AnalysisPaolo Castiglioni, Davide Lazzeroni, Paolo Coruzzi, Andrea Faini. 710-713 [doi]
• Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection FractionMohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker. 714-717 [doi]
• Concurrent Model for Three Negative Emotions Using Heart Rate Variability in a Driving Simulator EnvironmentMuhammad Shaufil Adha, Tomohiko Igasaki. 718-721 [doi]
• Forearm High-Density Electromyography Data Visualization and Classification with Machine Learning for Hand Prosthesis ControlSimon Tam, Mounir Boukadoum, Alexandre Campeau-Lecours, Benoit Gosselin. 722-727 [doi]
• High-Density Surface Electromyogram-based Biometrics for Personal IdentificationXinyu Jiang, Ke Xu 0006, Xiangyu Liu, Da Liu, Chenyun Dai, Wei Chen 0015. 728-731 [doi]
• Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet TransformLakshmi M. Hari, G. Venugopal, Ramakrishnan S. 732-735 [doi]
• On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMGFilip Urh, Damjan Strnad, Alex Clarke, Dario Farina, Ales Holobar. 736-739 [doi]
• Subject-Specific EMG Modeling with Multiple Muscles: A Preliminary StudyShihan Ma, Chen Chen 0045, Dong Han, Xinjun Sheng, Dario Farina, Xiangyang Zhu. 740-743 [doi]
• S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG ImagesMd. Rabiul Islam 0004, Daniel Massicotte, François Nougarou, Philippe Massicotte, Wei-Ping Zhu. 744-749 [doi]
• Temporal orders and causal vector for physiological data analysisMarcel Mlynczak. 750-753 [doi]
• Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder ArchitectureChiu-Han Hsiao, Ting-Wei Lin, Chii-Wann Lin, Fu-Shun Hsu, Frank Yeong-Sung Lin, Chung-Wei Chen, Chi-Ming Chung. 754-759 [doi]
• Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural NetworksTruc Nguyen, Franz Pernkopf. 760-763 [doi]
• Removing of Snoring Segments from Tracheal Breathing Sounds using a Wavelet-based AlgorithmN. Montazeri Ghahjaverestan, Shumit Saha, Bojan Gavrilovic, Azadeh Yadollahi. 764-767 [doi]
• Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory soundsLiqun Wu, Ling Li. 768-771 [doi]
• An objective measure of signal quality for pediatric lung auscultationsAnnapurna Kala, Amyna Husain, Eric D. McCollum, Mounya Elhilali. 772-775 [doi]
• Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine LearningParvathy Nair, Roth Trisno, Maryam Shojaei Baghini, Gita Pendharkar, Hoam Chung. 776-779 [doi]
• Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesiaZhibin Zhao, Hui Fang, Stefan Williams, Samuel D. Relton, Jane Alty, Alexander J. Casson, David C. Wong 0004. 780-783 [doi]
• Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait PatternsAnirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga. 784-788 [doi]
• Automatic clinical gait test detection from inertial sensor dataStefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge. 789-792 [doi]
• Topological Descriptors for Parkinson's Disease Classification and Regression AnalysisAfra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga. 793-797 [doi]
• Automatic Gait Phases Detection in Parkinson Disease: A Comparative StudyYor Jaggy Castaño-Pino, Maria Camila Gonzalez, Valentina Quintana-Peña, Jaime Valderrama, Beatriz Muñoz, Jorge Luis Orozco, Andrés Navarro 0001. 798-802 [doi]
• Deep-learning-based human motion tracking for rehabilitation applications using 3D image featuresKai-Yu Chen, Wei-Zhong Zheng, Yu-Yi Lin, Shih-Tsang Tang, Li-Wei Chou, Ying-Hui Lai. 803-807 [doi]
• Machine Learning Based Walking Aid Detection in Timed Up-and-Go Test Recordings of Elderly PatientsAndreas Ziegl, Dieter Hayn, Peter Kastner, Kerstin Löffler, Lisa Weidinger, Bianca Brix, Nandu Goswami, Günter Schreier. 808-811 [doi]
• Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer DataYang Hu, Alka Bishnoi, Rachneet Kaur, Richard Sowers, Manuel E. Hernandez. 812-815 [doi]
• A Sensor-Based Comprehensive Objective Assessment of Motor Symptoms in Cerebellar AtaxiaBipasha Kashyap, Dung Phan, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David Szmulewicz. 816-819 [doi]
• Quantitative Assessment of Friedreich Ataxia through the self-drinking activityRagil Krishna, Pubudu N. Pathirana, Louise A. Corben, Malcolm Horne, Martin B. Delatycki, David J. Szmulewicz. 820-823 [doi]
• Detecting Loss and Regain of Consciousness during Propofol Anesthesia using Multimodal Indices of Autonomic StateSandya Subramanian, Riccardo Barbieri, Patrick L. Purdon, Emery N. Brown. 824-827 [doi]
• Impedance Plethysmography as an Alternative Measure of Reactive HyperemiaK. G. Samarawickrama, N. D. Perera, Saroj Jayasinghe, A. C. De Silva. 828-831 [doi]
• Audio, Visual, and Electrodermal Arousal Signals as Predictors of Mental Fatigue Following Sustained Cognitive WorkJames R. Williamson, Kristin J. Heaton, Adam C. Lammert, Katherine Finkelstein, Douglas E. Sturim, Christopher J. Smalt, Gregory Ciccarelli, Thomas F. Quatieri. 832-836 [doi]
• Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution RecordingsHenry Han, Leo K. Cheng, Recep Avci, Niranchan Paskaranandavadivel. 837-840 [doi]
• *Xinke Shen, Xin Hu, Shizhao Liu, Sen Song, Dan Zhang. 841-846 [doi]
• Freezing of gait detection in Parkinson's disease via multimodal analysis of EEG and accelerometer signalsYing Wang, Floris Beuving, Jorik Nonnekes, Mike X. Cohen, Xi Long, Ronald M. Aarts, Richard van Wezel. 847-850 [doi]
• Stress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic ControllersGianluca Borghini, Andrea Bandini, Silvia Orlandi, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Vincenzo Ronca, Stefano Bonelli, Martina Ragosta, Paola Tomasello, Ugur Turhan, Birsen Açikel, Ali Ozan, Jean-Paul Imbert, Géraud Granger, Raïlane Benhacène, Fabrice Drogoul, Fabio Babiloni. 851-854 [doi]
• Learning-Based Model for Central Blood Pressure Estimation using Feature Extracted from ECG and PPG signalsMuskan Singla, Syed Azeemuddin, Prasad Sistla. 855-858 [doi]
• Multimodal Data Acquisition for the Assessment of Cerebellar Ataxia via Ballistic TrackingHa Tran, Khoa D. Nguyen, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz. 859-862 [doi]
• A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 2: Multi-input MethodsMizpah Selvam S. Johnson, J. Mikael Eklund. 863-866 [doi]
• Physiological Signal Analysis and Classification of Stress from Virtual Reality Video GameSyem Ishaque, Alice Rueda, Binh Nguyen, Naimul Khan, Sridhar Krishnan 0001. 867-870 [doi]
• Predicting Core Characteristics of ASD Through Facial Emotion Recognition and Eye Tracking in YouthMing Jiang, Sunday M. Francis, Angela Tseng, Diksha Srishyla, Megan DuBois, Katie Beard, Christine Conelea, Qi Zhao, Suma Jacob. 871-875 [doi]
• Detection of information flow between cortical laminae activities and auditory evoked potentials in rats by means of Granger causalityZ. Schäfer, Lars Haab, Karsten Schwerdtfeger, Kazutaka Takahashi 0001, Daniel J. Strauss. 876-879 [doi]
• *Shengwei Xu, Yu Zhang, Guihua Xiao, Yiming Duan, Mixia Wang, Yilin Song, Yuchuan Dai, Juntao Liu, Jinping Luo, Song Zhang 0006, Ping Zhuang, Piu Chan, Feng Yue, Xinxia Cai. 880-883 [doi]
• Predicting Single-Unit Activity from Local Field Potentials with LSTMsOscar Savolainen, Timothy G. Constandinou. 884-887 [doi]
• SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode RecordingsMaxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin. 888-893 [doi]
• Spike Detection Technique Based on Spike Augmentation with Low Computational and Hardware ComplexitySepideh Mirzaei, Hossein Hosseini-Nejad, Amir M. Sodagar. 894-897 [doi]
• Spatial Redundancy Reduction in Multi-Channel Implantable Neural Recording MicrosystemsYousef Khazaei, Ali Abbasi Shahkooh, Amir M. Sodagar. 898-901 [doi]
• Photoplethysmographic Subject Identification by Considering Feature Values Derived from Heartbeat and RespirationShun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro. 902-905 [doi]
• Atrial fibrillation detection using photoplethysmographic signal: the effect of the observation windowValentina D. A. Corino, Federico Salibra, Luca T. Mainardi. 906-909 [doi]
• Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using PhotoplethysmographyJoão Jorge, Martin Proença, Clémentine Aguet, Jérôme Van Zaen, Guillaume Bonnier, Phillipe Renevey, Alia Lemkaddem, Patrick Schoettker, Mathieu Lemay. 910-913 [doi]
• Optimal filter characterization for photoplethysmography-based pulse rate and pulse power spectrum estimationRaymundo Cassani, Abhishek Tiwari, Tiago H. Falk. 914-917 [doi]
• Parameter Estimation of Hemodynamic Cardiovascular Model for Synthesis of Photoplethysmogram SignalDibyendu Roy 0002, Oishee Mazumder, Kingshuk Chakravarty, Aniruddha Sinha, Avik Ghose, Arpan Pal. 918-922 [doi]
• A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input MethodsMizpah Selvam S. Johnson, J. Mikael Eklund. 923-927 [doi]
• Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse CodingClément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau. 928-931 [doi]
• EEG Artifact Removal by Bayesian Deep Learning & ICASangmin S. Lee, Kiwon Lee, Guiyeom Kang. 932-935 [doi]
• Post-processing algorithm for removing soft-tissue movement artifacts from vibroarthrographic knee-joint signalRui Gong, Kazunori Hase, Hiroaki Goto, Keisuke Yoshioka. 936-939 [doi]
• Simulating Motion Artifact Using an Autoregressive Model for Research in Biomedical Signal Quality AnalysisEmma Farago, Adrian D. C. Chan. 940-943 [doi]
• Artifact Removal in tACS-EEG Recordings: A Combined Methodology Based on the Empirical Wavelet TransformXuanteng Yan, Marie-Hélène Boudrias, Georgios D. Mitsis. 944-947 [doi]
• *Daniel Cheong, Fan Zhang, Kaitlyn Kim, Adaira Reid, Cameron Hanan, Lei Ding, Han Yuan. 948-951 [doi]
• Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphoneNikhil Shankar, Gautam Shreedhar Bhat, Issa M. S. Panahi. 952-955 [doi]
• Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphoneGautam Shreedhar Bhat, Nikhil Shankar, Issa M. S. Panahi. 956-959 [doi]
• *Yin Liu, Fei Ji, Qin Gong. 960-963 [doi]
• Screening and analysis of specific language impairment in young children by analyzing the textures of speech signalGarima Sharma, Deepak Prasad, Karthikeyan Umapathy, Sridhar Krishnan 0001. 964-967 [doi]
• Compression Fitting of Hearing Aids and ImplementationKashyap Patel, Issa M. S. Panahi. 968-971 [doi]
• Efficient Real-Time Acoustic Feedback Cancellation using Adaptive Noise Injection AlgorithmKashyap Patel, Issa M. S. Panahi. 972-975 [doi]
• *Shumit Saha, Keerthana Viswanathan, N. Montazeri Ghahjaverestan, Azadeh Yadollahi. 976-979 [doi]
• Instantaneous Respiratory Response of Gamer with High-Risk Internet Gaming Disorder during Game-Film Stimuli by Using Complementary Ensemble Empirical Mode DecompositionHong-Ming Ji, Tzu-Chien Hsiao. 980-983 [doi]
• *Deng Yinan, Tangwen Yang, Shaotao Dai, Guoli Song. 984-987 [doi]
• Acoustoelectric Signal Decoding Based on Fourier ApproximationMengyue Su, Xizi Song, Yijie Zhou, Jiajia Yang, Yufeng Ke, Dong-ming. 988-991 [doi]
• Validation of Auscultation Technologies using Objective and Clinical ComparisonsStephanie Graceffo, Amyna Husain, Salahuddin Ahmed, Eric D. McCollum, Mounya Elhilali. 992-997 [doi]
• Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural NetworksRoneel V. Sharan, Shlomo Berkovsky, Sidong Liu. 998-1001 [doi]
• Different sEMG and EEG Features Analysis for Gait phase RecognitionPengna Wei, Jinhua Zhang, Pingping Wei, Baozeng Wang, Jun Hong 0002. 1002-1006 [doi]
• Muscle Activity Detection during Sleep by Ear-EEGYousef R. Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin C. Hemmsen, Preben Kidmose. 1007-1010 [doi]
• Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm SheepHamid Abbasi, Alistair J. Gunn, Laura Bennet, Charles P. Unsworth. 1011-1014 [doi]
• Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEGHamid Abbasi, Alistair J. Gunn, Laura Bennet, Charles P. Unsworth. 1015-1018 [doi]
• A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG DatasetsFrancesca Marturano, Sabrina Brigadoi, Mattia Doro, Roberto Dell'Acqua, Giovanni Sparacino. 1019-1022 [doi]
• Detection of Transient Bursts in the EEG of Preterm Infants using Time-Frequency Distributions and Machine LearningBrian M. Murphy, Robert M. Goulding, John M. O'Toole. 1023-1026 [doi]
• Trait empathy modulates brain response to empathy for social rejection: Evidence from electrophysiologyDan Tao, Yue Leng, Sheng Ge, Hui-Hua Deng. 1027-1030 [doi]
• Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network ClassifiersParia Amiri, Hamid Abbasi, Amin Derakhshan, Behdad Gharib, Behrang Nooralishahi, Mohamadreza Mirzaaghayan. 1031-1034 [doi]
• High Frequency Activity in the Orbital Frontal Cortex Modulates with Mismatched Expectations During Gambling in HumansSejal Gunaratnam, Dinakar Talluri, Patrick Greene, Pierre Sacré, Jorge Gonzalez-Martinez, Sridevi V. Sarma. 1035-1038 [doi]
• Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm SheepHamid Abbasi, Alistair J. Gunn, Charles P. Unsworth, Laura Bennet. 1039-1042 [doi]
• Emotion Evaluation During Working on a Puzzle by Spatiotemporal Pattern of Band Power of ElectroencephalogramTomohiko Igasaki, Sho Hiramatsu, Daiki Yanagihara, Yuta Baba. 1043-1046 [doi]
• Personalized Sleep Spindle Detection in Whole Night PolysomnographyStefano Scafa, Luigi Fiorillo, Marta Lucchini, Corinne Roth, Valentina Agostini, Alberto Vancheri, Francesca D. Faraci. 1047-1050 [doi]
• A novel approach to segment cortical neurons in histological images of the near-term fetal sheep brain modelSaheli Bhattacharya, Laura Bennet, Joanne O. Davidson, Charles P. Unsworth. 1051-1054 [doi]
• A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds DetectionMohammed A. Al-masni, Woo Ram Kim, Eung-Yeop Kim, Young Noh, Dong-hyun Kim. 1055-1058 [doi]
• Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage SegmentationYuhao Lu, Juan Helen Zhou, Cuntai Guan. 1059-1062 [doi]
• *Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi Naini. 1063-1066 [doi]
• A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector MachineAli Jalalifar, Hany Soliman, Mark Ruschin, Arjun Sahgal, Ali Sadeghi Naini. 1067-1070 [doi]
• A novel Graph Attention Network Architecture for modeling multimodal brain connectivityAlexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò. 1071-1074 [doi]
• BoostCaps: A Boosted Capsule Network for Brain Tumor ClassificationParnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi 0001. 1075-1079 [doi]
• Automatic whole brain vascular territory mappingRyota Matsubara, Andrew Bivard, Mark Parsons, Naotaka Sakashita. 1080-1083 [doi]
• Different glucose metabolic brain networks between Subjective Cognitive Decline and Health Control based on graph theoryQiuyue Dong, Ying Han, Jiehui Jiang. 1084-1087 [doi]
• Drosophila Brain Functional Data Analysis: A Unified FrameworkWei Chang, Ching-Chun Hsiao, Yen-Yin Lin, Li-An Chu, A. Lee Swindlehurst, Shi-Wei Chu, Ann-Shyn Chiang, Shun Chi Wu. 1088-1091 [doi]
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• Exploring the relevance between brain glucose metabolism and functional connectivity in Chinese cognitive dysfunctions' subjects using integrated resting-state PET/MRI imagesChangchang Ding, Ying Han, Jiehui Jiang. 1096-1099 [doi]
• *Celia M. Dong, Audrey S. Guo, Anthea To, Kannie W. Y. Chan, Aviva S. F. Chow, Liming Bian, Alex T. L. Leong, Ed X. Wu. 1100-1103 [doi]
• Use of multilayer network modularity and spatiotemporal network switching rate to explore changes of functional brain networks in Alzheimer's diseaseFan Yang, Yuxia Li, Ying Han, Jiehui Jiang. 1104-1107 [doi]
• *H. Zhang, Z. X. Wei, J. Q. Zhou, J. Tian. 1108-1111 [doi]
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• *Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs. 1124-1127 [doi]
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• *Gerson Africano, Otso Arponen, Antti Sassi, Irina Rinta-Kiikka, Anna-Leena Lääperi, Said Pertuz. 1132-1135 [doi]
• A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk AssessmentGerson Africano, Otso Arponen, Antti Sassi, Mirva Karivaara-Mäkelä, Kirsi Holli-Helenius, Irina Rinta-Kiikka, Anna-Leena Lääperi, Said Pertuz. 1136-1139 [doi]
• Deep Understanding of Breast Density ClassificationTimothy Cogan, Lakshman Tamil. 1140-1143 [doi]
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• Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcopeMercy Nyamewaa Asiedu, Erica Skerrett, Guillermo Sapiro, Nirmala Ramanujam. 1148-1151 [doi]
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• Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual ExplanationsKihwan Choi, Seong Ji Choi, Eun Sun Kim. 1156-1159 [doi]
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• Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocolMarta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee. 1178-1181 [doi]
• Left Ventricular Flow Analysis in Atrial FibrillationHansuk Kim, Hana Sheitt, Fatemehsadat Jamalidinan, Stephen B. Wilton, James White, Julio Garcia. 1182-1185 [doi]
• Convolution Pyramid Network: A Classification Network on Coronary Artery Angiogram ImagesShuang Chen, Yang Tang, Xiaotong Shi, Honggang Zhang, Lihua Xie, Bo Xu. 1186-1189 [doi]
• End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic SequencesRaphaël Royer-Rivard, Fantin Girard, Nagib Dahdah, Farida Cheriet. 1190-1193 [doi]
• PPG3D: Does 3D head tracking improve camera-based PPG estimation?Genki Nagamatsu, Ewa Magdalena Nowara, Amruta Pai, Ashok Veeraraghavan, Hiroshi Kawasaki. 1194-1197 [doi]
• A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice NumbersFatmatülzehra Uslu, Marta Varela, Anil A. Bharath. 1198-1202 [doi]
• Improving the generalization of deep learning methods to segment the left ventricle in short axis MR imagesCatharine V. Graves, Ramon Alfredo Moreno, Marina S. Rebelo, Cesar H. Nomura, Marco Antonio Gutierrez. 1203-1206 [doi]
• Automatic Pulmonary Vein and Left Atrium Segmentation for TAPVC Preoperative Evaluation Using V-Net with Grouped AttentionJiang Li, Huai Chen, Fang Zhu, Chen Wen, Huiwen Chen, Lisheng Wang. 1207-1210 [doi]
• Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion SurgeryYu Lu 0001, Xianghua Fu, Xiaoqing Li, Yingjian Qi. 1211-1216 [doi]
• L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRIS. M. Kamrul Hasan, Cristian A. Linte. 1217-1220 [doi]
• Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural NetworksRenato F. Pereira, Marina S. Rebelo, Ramon Alfredo Moreno, Anderson G. Marco, Daniel Mario de Lima, Marcelo A. F. Arruda, José E. Krieger, Marco Antonio Gutierrez. 1221-1224 [doi]
• A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest RadiographsArka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet. 1225-1228 [doi]
• AI Chest 4 AllP. Thammarach, S. Khaengthanyakan, S. Vongsurakrai, P. Phienphanich, Pakinee Pooprasert, Akarachai Yaemsuk, P. Vanichvarodom, N. Munpolsri, S. Khwayotha, M. Lertkowit, S. Tungsagunwattana, C. Vijitsanguan, S. Lertrojanapunya, W. Noisiri, I. Chiawiriyabunya, N. Aphikulvanich, Charturong Tantibundhit. 1229-1233 [doi]
• Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph ScreeningArunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet. 1234-1237 [doi]
• Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray ImagesJosé Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez. 1238-1241 [doi]
• Dense-Unet: a light model for lung fields segmentation in Chest X-Ray imagesMohammad E. Yahyatabar, Philippe Jouvet, Farida Cheriet. 1242-1245 [doi]
• Lung Region Segmentation in Chest X-Ray Images using Deep Convolutional Neural NetworksR. D. S. Portela, J. R. G. Pereira, Marly Guimarães Fernandes Costa, Cicero Ferreira Fernandes Costa Filho. 1246-1249 [doi]
• *Hadi Moghadas-Dastjerdi, Hira R. Sha-E.-Tallat, Lakshmanan Sannachi, Laurentius O. Osapoeta, Ali Sadeghi Naini, Gregory J. Czarnota. 1250-1253 [doi]
• Learning Latent Spiculated Features for Lung Nodule CharacterizationBowen Qiu, Jacob D. Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu. 1254-1257 [doi]
• *Khadijeh Saednia, Ali Jalalifar, Shahin Ebrahimi, Ali Sadeghi Naini. 1258-1261 [doi]
• A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT ImagesNoriyasu Homma, Xiaoyong Zhang, Amber Qureshi, Takuya Konno, Yusuke Kawasumi, Akihito Usui, Masato Funayama, Ivo Bukovsky, Kei Ichiji, Norihiro Sugita, Makoto Yoshizawa. 1262-1265 [doi]
• Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of AnnotationsJohn McManigle, Raquel Bartz, Lawrence Carin. 1266-1269 [doi]
• 3D Auto-Segmentation of Mandibular CondylesSerge Brosset, Maxime Dumont, Jonas Bianchi, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Beatriz Paniagua, Juan Prieto, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr. 1270-1273 [doi]
• *Adam Huang, Wen-Hsiang Cheng, Chung-wei Lee, Chung-Yi Yang, Hon-Man Liu. 1274-1277 [doi]
• Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial NetsJumpei Nitta, Megumi Nakao, Keiho Imanishi, Tetsuya Matsuda. 1278-1281 [doi]
• MDL-IWS: Multi-view Deep Learning with Iterative Watershed for Pulmonary Fissure SegmentationRukhmini Roy, Suparna Mazumdar, Ananda S. Chowdhury. 1282-1285 [doi]
• Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia SubjectsDheo A. Y. Cahyo, Damon Wing Kee Wong, Ai Ping Yow, Seang Mei Saw, Leopold Schmetterer. 1286-1289 [doi]
• Feasible Study on Intracranial Hemorrhage Detection and Classification using a CNN-LSTM NetworkHoon Ko, HeeWon Chung, Hooseok Lee, Jinseok Lee. 1290-1293 [doi]
• *Incheol Kim, Dharitri Misra, Laritza Rodriguez, Michael Gill, Denise K. Liberton, Konstantinia Almpani, Janice S. Lee, Sameer K. Antani. 1294-1298 [doi]
• Short Scan Source-detector Trajectories for Target-based CBCTSepideh Hatamikia, Ander Biguri, Gernot Kronreif, Tom Russ, Joachim Kettenbach, Wolfgang Birkfellner. 1299-1302 [doi]
• *Kihwan Choi, Sungwon Kim. 1303-1306 [doi]
• Compressed Sensing based Image Reconstruction with Projection Recovery for Limited Angle Cone-Beam CT ImagingShoulie Xie, Weimin Huang, Tao Yang, Dajun Wu, Huiying Liu. 1307-1310 [doi]
• NMAR3: Normalized Metal Artifact Reduction for Cone Beam Computed TomographyHuiying Liu, Tao Yang, Weimin Huang, Shoulie Xie, Dajun Wu. 1311-1314 [doi]
• Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting InterpolationYijie Ku, Wenhai Weng, Zhong Chen, Huanqin Zheng, Chuang Xu, Hui Ding, Lei Li, Guangzhi Wang. 1315-1318 [doi]
• Metal Artifacts Reduction in CT Scans using Convolutional Neural Network with Ground Truth EliminationQi Mai, Justin W. L. Wan. 1319-1322 [doi]
• *Majid Jaberipour, Arjun Sahgal, Hany Soliman, Ali Sadeghi Naini. 1323-1326 [doi]
• Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial NetworksMalinda Vania, Deukhee Lee. 1327-1330 [doi]
• Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test LossRakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet. 1331-1334 [doi]
• *Abdarahmane Traoré, Abdoulaye O. Ly, Moulay A. Akhloufi. 1335-1338 [doi]
• An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT imagesValentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra. 1339-1342 [doi]
• An Approach for Asbestos-related Pleural Plaque DetectionAzael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão. 1343-1346 [doi]
• Deformable Registration of Coronary Arteries with Topological Constraints for Image-Guided Vascular InterventionsHong Zhang, Jingyang Zhang, Wei Wu, Hongzhi Xie, Lixu Gu. 1347-1350 [doi]
• Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolationDeepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar. 1351-1354 [doi]
• Unsupervised 3D End-to-end Deformable Network for Brain MRI RegistrationZhenyu Zhu, Yiqin Cao, Chenchen Qin, Yi Rao, Dong Ni, Yi Wang 0040. 1355-1359 [doi]
• Multi-scale U-net with Edge Guidance for Multimodal Retinal Image Deformable RegistrationYuntong Tian, Yan Hu, Yuhui Ma, Huaying Hao, Lei Mou, Jianlong Yang, Yitian Zhao, Jiang Liu 0001. 1360-1363 [doi]
• Statistical Shape Modeling to Determine the Anterior Pelvic Plane for Total Hip ArthroplastyAziliz Guezou-Philippe, Guillaume Dardenne, Asma Salhi, Valérie Burdin, Christian Lefevre, Eric Stindel. 1364-1367 [doi]
• Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural NetworkRuxue Hu, Hongkai Wang, Tapani Ristaniemi, Wentao Zhu, Xiaobang Sun. 1368-1371 [doi]
• A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide ImageXiaowei Xu, Runping Hou, Wangyuan Zhao, Haohua Teng, Jianqi Sun, Jun Zhao 0010. 1372-1375 [doi]
• *Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao. 1376-1379 [doi]
• Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate BiopsiesAvinash Lokhande, Saikiran Bonthu, Nitin Singhal. 1380-1383 [doi]
• A Novel Pathological Images and Genomic Data Fusion Framework for Breast Cancer Survival PredictionShuai Li 0001, Haolei Shi, Dong Sui, Aimin Hao, Hong Qin. 1384-1387 [doi]
• Telepathology Support System with Gross Specimen Image Using High Resolution 4K Multispectral CameraNaoki Kobayashi 0009, Hiroyuki Suzuki, Masahiro Ishikawa, Takashi Obi, Takaya Ichimura, Hiroto Yanagisawa, Tetsuya Tsuchida, Atsushi Sasaki. 1388-1381 [doi]
• Recursive Additive Complement Networks for Cell Membrane Segmentation in Histological ImagesSatoshi Yamami, Keita Sugimoto, Masanobu Takahashi, Masayuki Nakano. 1392-1395 [doi]
• Vacuole Segmentation and Quantification in Liver Images of Wistar RatSanket Deshmukh, Avinash Lokhande, Ratul Wasnik, Nitin Singhal. 1396-1399 [doi]
• Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyMilad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley 0001, Hamid R. Tizhoosh. 1400-1403 [doi]
• Diabetic Retinopathy (DR) Severity Level Classification Using Multimodel Convolutional Neural NetworksAli J. Abidalkareem, Moaed A. Abd, Ali K. Ibrahim, Hanqi Zhuang, Ali Salem Altaher, Ali Muhamed Ali. 1404-1407 [doi]
• Supervised Machine Learning Segmentation and Quantification of Gastric Pacemaker CellsSue Ann Mah, Recep Avci, Peng Du, Jean-Marie Vanderwinden, Leo K. Cheng. 1408-1411 [doi]
• Deep Learning Model based Ki-67 Index estimation with Automatically Labelled DataS. Lakshmi, Kotra Venkata Sai Ritwik, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh. 1412-1415 [doi]
• Recognizing Magnification Levels in Microscopic SnapshotsManit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damskinos, Hany Kashani, Hamid R. Tizhoosh. 1416-1419 [doi]
• Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural NetworksAlexander Wurts, Derek H. Oakley, Bradley T. Hyman, Siddharth Samsi. 1420-1423 [doi]
• Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning MethodJi Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui, Dongmei Zhi, Vince D. Calhoun. 1424-1427 [doi]
• *Hemaxi Narotamo, J. Miguel Sanches, Margarida Silveira. 1428-1431 [doi]
• *Hemaxi Narotamo, M. Sofia Fernandes, J. Miguel Sanches, Margarida Silveira. 1432-1435 [doi]
• A V-Net Based Deep Learning Model for Segmentation and Classification of Histological Images of Gastric AblationZahra Aghababaie, Kevin Jamart, Chih-Hsiang Alexander Chan, Satya Amirapu, Leo K. Cheng, Niranchan Paskaranandavadivel, Recep Avci, Timothy R. Angeli. 1436-1439 [doi]
• A novel bounded EIT protocol to generate inhomogeneous skull conductivity maps non-invasivelyMariano Fernández-Corazza, Sergei Turovets, Carlos H. Muravchik. 1440-1443 [doi]
• Pulmonary Ventilation and Pulsatile Perfusion Imaging on Premature Neonates using Simultaneous Multi-Source EITTzu-Jen Kao, Bruce C. Amm, Jeffrey Ashe, David M. Davenport. 1444-1447 [doi]
• Performance of an Adaptive Current Source for EIT Driving Loads through a Shielded Coaxial CableAhmed AbdelWahab, Omid Rajabi Shishvan, Gary J. Saulnier. 1448-1451 [doi]
• Measuring Current Source Output Impedance in EIT Systems while Attached to a LoadOmid Rajabi Shishvan, Ahmed AbdelWahab, Gary J. Saulnier. 1452-1456 [doi]
• The Effect of Internal Electrodes on Electrical Impedance Tomography SensitivitySymon Stowe, Andy Adler. 1457-1460 [doi]
• Using Electrical Impedance Tomography in an Experimental Model of Weighted RestraintMark Campbell, Malitela Mapani, Symon Stowe, Jeffrey W. Dawson, Andy Adler. 1461-1464 [doi]
• High-Resolution 3D Spin-Echo MRSI Using Interleaved Water Navigators, Sparse Sampling and Subspace-Based ProcessingRuo-Jing Ho, Fan Lam. 1465-1468 [doi]
• Wireless Power Harvesting During MRIMadhav Venkateswaran, Krishna N. Kurpad, James E. Brown, Sean B. Fain, Daniel van der Weide. 1469-1472 [doi]
• Investigation of Low-Cost Op-Amps as Decoupling Preamplifiers for MRI Array CoilsChenhao Sun, Courtney Bauer, Joseph Busher, Mary P. McDougall, Steven M. Wright. 1473-1476 [doi]
• Exploring the Inter-voxel Information in Pharmacokinetic Maps for Cervical Carcinoma PredictionZhuo Zhang 0001, Dajiang He, Ying Song, Zhihan Yan, Xue Wang, Jinbo Shao, Zujun Hou. 1477-1480 [doi]
• High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural NetworksSeyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya. 1481-1484 [doi]
• Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual AlgorithmHaifeng Wang, Fang Cai, Caiyun Shi, Jing Cheng, Shi Su, Zhilang Qiu, Guoxi Xie, Hanwei Chen, Xin Liu, Dong Liang 0001. 1485-1488 [doi]
• Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRIStefano Moia, Rachael C. Stickland, Apoorva Ayyagari, Maite Termenon, César Caballero Gaudes, Molly G. Bright. 1489-1492 [doi]
• Aberrant Functional Network Connectivity Transition Probability in Major Depressive DisorderElaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun. 1493-1496 [doi]
• *Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki. 1497-1502 [doi]
• Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural NetworksYunlong Xie, Banghua Yang, Xi Lu, Minmin Zheng, Cunxiu Fan, Xiaoying Bi, Shu Zhou, Yingjie Li. 1503-1506 [doi]
• An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG PotentialsJiahao Wang, Mengying Wei, Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang 0001. 1507-1511 [doi]
• Patient-Clinician Brain Response During Clinical Encounter and Pain TreatmentAlessandra Anzolin, K. Isenburg, A. Grahl, Jlenia Toppi, M. Yücel, D. M. Ellingsen, J. Gerber, A. Ciaramidaro, Laura Astolfi, Ted J. Kaptchuk, Vitaly Napadow. 1512-1515 [doi]
• Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation StrategyWenshan Wu, Yuhao Lu, Ravikiran Mane, Cuntai Guan. 1516-1519 [doi]
• Malignancy Detection in Prostate Multi-Parametric MR Images Using U-net with AttentionArchana Machireddy, Nicholas Meermeier, Fergus Coakley, Xubo Song. 1520-1523 [doi]
• Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy ImagesRachneet Kaur, Hamid Gholamhosseini, Roopak Sinha. 1524-1527 [doi]
• Thermography for the detection of Secondary Raynaud's Phenomenon by means of the Distal-Dorsal DistanceJ. R. Viana, Dioclecio Campos, Leandra Ulbricht, Gilson Yukio Sato, Wagner L. Ripka. 1528-1531 [doi]
• *Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mario Campone, Mathilde Colombié, Mathieu Rubeaux, Nicolas Normand. 1532-1535 [doi]
• *Constance Fourcade, Ludovic Ferrer, Gianmarco Santini, Noémie Moreau, Caroline Rousseau, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Mario Campone, Diana Mateus, Mathieu Rubeaux. 1536-1539 [doi]
• Automatic Glaucoma Detection from Stereo Fundus ImagesEe Ping Ong, Jun Cheng 0003, Damon Wing Kee Wong, Elton L. T. Tay, Hwei Yee Teo, Rosalyn Grace Loo, Leonard W. L. Yip. 1540-1543 [doi]
• Enhanced Capsule Network for Medical image classificationZhe Zhang, Shiwei Ye, Pan Liao, Yan Liu, Guiping Su, Yi Sun. 1544-1547 [doi]
• Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAMErika Hata, Chanjin Seo, Masafumi Nakayama, Kiyotaka Iwasaki, Takaaki Ohkawauchi, Jun Ohya. 1548-1551 [doi]
• *Ran Zhang, Huichuan Duan, Jiezhi Cheng, Yuanjie Zheng. 1552-1555 [doi]
• *Qi Chang, Rebecca Bascom, Jennifer Toth, Danish Ahmad, William E. Higgins. 1556-1559 [doi]
• A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy ClassificationHongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, DongDong Zhang, Mengdi Gao, He Ma, Wei Qian. 1560-1563 [doi]
• Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging ReconstructionTianming Du, Yanci Zhang, Xiaotong Shi, Shuang Chen. 1564-1567 [doi]
• Unsupervised stratification in neuroimaging through deep latent embeddingsGiovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi. 1568-1571 [doi]
• Limited-Angle Computed Tomography Reconstruction using Combined FDK-Based Neural Network and U-NetYiying Wang, Tao Yang, Weimin Huang. 1572-1575 [doi]
• Validation study of a novel method for the 3D reconstruction of coronary bifurcationsPanagiota I. Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Antonis I. Sakellarios, Nikolaos Tsigkas, Vassiliki I. Kigka, Savvas K. Kyriakidis, Lampros K. Michalis, Dimitrios I. Fotiadis. 1576-1579 [doi]
• *Li Wang, Wen S. Hou, Xiao Y. Wu, Lin Chen. 1580-1583 [doi]
• MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet LossSriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam. 1584-1587 [doi]
• Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial NetworksMustafa Haiderbhai, Sergio Ledesma, Nassir Navab, Pascal Fallavollita. 1588-1591 [doi]
• Triple Multi-scale Adversarial Learning with Self-attention and Quality Loss for Unpaired Fundus Fluorescein Angiography SynthesisZhuotong Cai, Jingmin Xin, Jiayi Wu, Sijie Liu, Weiliang Zuo, Nanning Zheng 0001. 1592-1595 [doi]
• 3-To-1 Pipeline: Restructuring Transfer Learning Pipelines for Medical Imaging Classification via Optimized GAN Synthetic ImagesRoss Zhi Jian Choong, Seth Austin Harding, Bo-yen Tang, Shih-Wei Liao. 1596-1599 [doi]
• Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural NetworkLeevi Annala, Noora Neittaanmäki, John Paoli, Oscar Zaar, Ilkka Pölönen. 1600-1603 [doi]
• Low-Cost Eye Phantom for Stereophotogrammetry-Based Optic Nerve Head Topographical 3D ImagingIan Coghill, Richard A. Black, Iain A. T. Livingstone, Mario E. Giardini. 1604-1607 [doi]
• X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection ImageFei Tong, Megumi Nakao, Shuqiong Wu, Mitsuhiro Nakamura, Tetsuya Matsuda. 1608-1611 [doi]
• UENet: A Novel Generative Adversarial Network for Angiography Image SegmentationXiaotong Shi, Tianming Du, Shuang Chen, Honggang Zhang, Changdong Guan, Bo Xu 0002. 1612-1615 [doi]
• AEC-Net: Attention and Edge Constraint Network for Medical Image SegmentationJingyi Wang, Xu Zhao, Qingtian Ning, Dahong Qian. 1616-1619 [doi]
• Deeply Supervised Active Learning for Finger Bones SegmentationZiyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng. 1620-1623 [doi]
• Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationSamira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci. 1624-1628 [doi]
• Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical ConstraintsRuikun Li, Huai Chen, Guanzhong Gong, Lisheng Wang. 1629-1632 [doi]
• MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI imagesXihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang. 1633-1636 [doi]
• Chromosome Segmentation via Data Simulation and Shape LearningPingjun Chen, Jinzheng Cai, Lin Yang 0002. 1637-1640 [doi]
• Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT ImagesXiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng 0003, Jiang Liu 0001. 1641-1645 [doi]
• An Efficient Lens Structures Segmentation Method on AS-OCT ImagesGuiping Cao, Wei Zhao, Risa Higashita, Jiang Liu, Wan Chen, Jin Yuan, Yubing Zhang, Ming Yang. 1646-1649 [doi]
• Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-NetMenghua Xia, Wenjun Yan, Yi Huang, Yi Guo 0002, Guohui Zhou, Yuanyuan Wang 0001. 1650-1653 [doi]
• Efficient Deep Learning-based Wound-bed Segmentation For Mobile ApplicationsEe Ping Ong, Christina Tang Ka Yin, Beng Hai Lee. 1654-1657 [doi]
• Surgical tool segmentation and localization using spatio-temporal deep networkAparna Kanakatte, Akshaya Ramaswamy, Jayavardhana Gubbi, Avik Ghose, Balamuralidhar Purushothaman. 1658-1661 [doi]
• Further Development of Subspace Imaging to Magnetic Resonance Fingerprinting: A Low-rank Tensor ApproachBo Zhao 0002, Kawin Setsompop, David H. Salat, Lawrence L. Wald. 1662-1666 [doi]
• Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinomaPierre Fontaine, Francois-Georges Riet, Joel Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta. 1667-1670 [doi]
• Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance ImagesBruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, F. Marzola, Filippo Russo, Martino Bosco, Filippo Molinari. 1671-1674 [doi]
• A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI imagesJovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Lorenzo Vassallo, Daniele Regge, Gabriella Balestra, Valentina Giannini. 1675-1678 [doi]
• Automated Detection of Juvenile Myoclonic Epilepsy using CNN based Transfer Learning in Diffusion MRIXiaopeng Si, Xingjian Zhang, Yu Zhou, Yulin Sun, Weipeng Jin, Shaoya Yin, Xin Zhao 0012, Qiang Li, Dong-ming. 1679-1682 [doi]
• Identification of Subgroup Differences Using IVA: Application to fMRI Data FusionZhongqiang Luo, Qunfang Long, Suchita Bhinge, Mohammad A. B. S. Akhonda, Tülay Adali. 1683-1686 [doi]
• Inter-Subject Clustering of Brain Fibers from Whole-Brain TractographyIsaías I. Huerta, Andrea Vázquez, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Pamela Guevara, Cecilia Hernández. 1687-1691 [doi]
• Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3, 152 participantsHon Wah Yeung, Saturnino Luz, Simon R. Cox, Colin R. Buchanan, Heather C. Whalley, Keith M. Smith. 1692-1695 [doi]
• GeoSP: A parallel method for a cortical surface parcellation based on geodesic distanceNarciso López-López, Andrea Vázquez, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara. 1696-1700 [doi]
• Rapid Quantification of White Matter Disconnection in the Human BrainAbdelrahman Zayed, Yasser Iturria-Medina, Arno Villringer, Bernhard Sehm, Christopher John Steele. 1701-1704 [doi]
• Disruption of structural brain networks in Primary Open Angle GlaucomaF. Di Ciò, Francesco Garaci, Silvia Minosse, Luca Passamonti, Alessio Martucci, Simona Lanzafame, Francesca Di Giuliano, Eliseo Picchi, Raffaele Mancino, Maria Guerrisi, Carlo Nucci, Roberto Floris, Nicola Toschi. 1705-1708 [doi]
• Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish K. 1709-1713 [doi]
• Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural NetworksTahereh Kamali, Katharine A. Hagerman, John W. Day, Jacinda Sampson, Kelvin O. Lim, Bryon A. Mueller, Jeffrey R. Wozniak. 1714-1717 [doi]
• A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component AnalysisE. Tassi, Eleonora Maggioni, Sergio Cerutti, P. Brambilla, Anna M. Bianchi. 1718-1721 [doi]
• Impact of Intravesical Cold Sensation on Functional Network Connectivity Estimated Using ICA at Rest & During Interoceptive TaskBehnaz Jarrahi, Spyros S. Kollias. 1722-1725 [doi]
• Disruption of brain network organization in patients with human immunodeficiency virus (HIV) infectionSilvia Minosse, Eliseo Picchi, Francesca Di Giuliano, Simona Lanzafame, Guglielmo Manenti, Chiara Adriana Pistolese, Loredana Sarmati, Elisabetta Teti, Massimo Andreoni, Roberto Floris, Maria Guerrisi, Francesco Garaci, Nicola Toschi. 1726-1729 [doi]
• Global and local reorganization of brain network connectivity in sudden sensorineural hearing lossSilvia Minosse, Francesco Garaci, Federica Martino, Roberta Di Mauro, Milena Melis, Francesca Di Giuliano, Eliseo Picchi, Roberto Floris, Maria Guerrisi, Stefano Di Girolamo, Nicola Toschi. 1730-1733 [doi]
• Altered Intramodular Functional Connectivity in Drug Naïve Obsessive-Compulsive Disorder PatientsQianqian Ye, Zongfeng Zhang, Qing Fan, Yao Li. 1734-1737 [doi]
• Disrupted Coupling Between NAA and Functional Connectivity in Ventromedial Prefrontal Cortex of Drug-Naïve First-Episode PsychosisWenli Li, Qiong Xiang, Dengtang Liu, Yao Li 0010. 1738-1741 [doi]
• Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and ControlsMengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan. 1742-1745 [doi]
• Diffusion Kurtosis Imaging Reveals Optic Tract Damage That Correlates with Clinical Severity in GlaucomaZhe Sun, Carlos Parra, Ji Won Bang, Els Fieremans, Gadi Wollstein, Joel S. Schuman, Kevin C. Chan. 1746-1749 [doi]
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• Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer GradingMarek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller. 1758-1761 [doi]
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• Evaluation and comparison of global-feature-based and local-feature-based segmentation algorithms in intracranial visual pathway delineationYan Liu, Xuejun Gu. 1766-1769 [doi]
• aNy-way Independent Component AnalysisKuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva. 1770-1774 [doi]
• Do cognitive reserve levels affect brain glucose metabolism and amyloid-β depositions in subjective cognitive decline subjects?Chunhua Liu, Guan-Quan Chen, Ying Han, Jiehui Jiang. 1775-1778 [doi]
• High-Resolution Mapping of Intestinal Spike Bursts and MotilitySachira Kuruppu, Leo K. Cheng, Timothy R. Angeli, Recep Avci, Niranchan Paskaranandavadivel. 1779-1782 [doi]
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• 4D-CT Hyper-Elastography Using a Biomechanical ModelDayton Miranda, Parya Jafari, Sergio C. H. Dempsey, Abbas Samani. 1791-1794 [doi]
• MNP Enhanced Microwave Imaging by Means of Pseudo-Noise Sensing with Different External Magnetic Field ModulationsSebastian Ley, Bernd Faenger, Ingrid Hilger, Marko Helbig. 1795-1798 [doi]
• Towards Contactless Estimation of Electrodermal Activity CorrelatesMayur J. Bhamborae, Philipp Flotho, Adrian Mai, Elena N. Schneider, Alexander L. Francis, Daniel J. Strauss. 1799-1802 [doi]
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• Combining Millimeter-Wave Imaging, Ultrasound and Elastography in a New Multimodal Approach for Breast Cancer Detection: Initial Experimental ResultsSimona Di Meo, Lorenzo Pasotti, Elena Lashkevich, Giovanni Magenes, Marco Pasian, Giulia Matrone. 1807-1810 [doi]
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• Computer Vision Challenges for Chronic Wounds AssessmentPaula A. Teixeira, Paulino A. Sousa, Miguel T. Coimbra. 1840-1843 [doi]
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• Segmentation of Ultrasound Images based on Scatterer Density using U-NetMina Amiri, Ali Kafaei Zad Tehrani, Hassan Rivaz. 2063-2066 [doi]
• Denoising RF Data via Robust Principal Component Analysis: Results in Ultrasound ElastographyMd Ashikuzzaman, Hassan Rivaz. 2067-2070 [doi]
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