Abstract is missing.
- Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMSNicha C. Dvornek, Pamela Ventola, James S. Duncan. 1-4 [doi]
- Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade GliomasNishant Kumar 0005, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold. 1-5 [doi]
- Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer AggressivenessJulip Jung, Helen Hong, Hansang Lee, Sung Il Hwang, Hak Jong Lee. 1-4 [doi]
- 1 H-Mrsi Using Learned Nonlinear ModelsYahang Li, Zepeng Wang, Fan Lam. 1-4 [doi]
- Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt OutcomesDong Yang, Qiaoying Huang, Kanski Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas. 1-4 [doi]
- A Network-Based Approach to Study of Adhd Using Tensor Decomposition of Resting State Fmri DataJian Li 0033, Anand A. Joshi, Richard M. Leahy. 1-5 [doi]
- Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome PredictionYu Guo, Pierre Decazes, Stéphanie Becker, Hua Li 0003, Su Ruan. 1-4 [doi]
- Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary BifurcationsRamtin Gharleghi, Gihan Samarasinghe, Arcot Sowmya, Susann Beier. 1-4 [doi]
- Brain Age Estimation Using LSTM on Children's Brain MRISheng He, Randy L. Gollub, Shawn N. Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard L. Robertson, P. Ellen Grant, Yangming Ou. 1-4 [doi]
- Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional ConnectivityWen Zhang, Yalin Wang. 1-5 [doi]
- Cramer Rao Inequality, Cauchy-Binet Representation and Structural Optimization of Fluorescence Unmixing ExperimentAlexei Goun. 1-4 [doi]
- A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTMZaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei. 1-4 [doi]
- Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced DataWeixian Lei, Rong Zhang, Yang Yang 0002, Ruixuan Wang, Wei-Shi Zheng. 1-5 [doi]
- Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D UltrasoundChaoyu Chen, Xin Yang 0009, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni. 1-5 [doi]
- Adaptive Prior Patch Size Based Sparse-View CT Reconstruction AlgorithmXinzhen Zhang, Yufu Zhou, Weikang Zhang, Jianqi Sun, Jun Zhao 0010. 1-4 [doi]
- Autoregression and Structured Low-Rank Modeling of SinogramsRodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar. 1-4 [doi]
- Weakly-Supervised Brain Tumor Classification with Global Diagnosis LabelYufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu 0005, Jinhui Xu 0001. 1-5 [doi]
- Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated DatasetsShanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie. 1-5 [doi]
- Bending Loss Regularized Network for Nuclei Segmentation in Histopathology ImagesHaotian Wang, Min Xian, Aleksandar Vakanski. 1-5 [doi]
- Stan: Small Tumor-Aware Network for Breast Ultrasound Image SegmentationBryar Shareef, Min Xian, Aleksandar Vakanski. 1-5 [doi]
- Synaptic Partner Assignment Using Attentional Voxel Association NetworksNicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung. 1-5 [doi]
- Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy ImagesShuo Han, Soonam Lee, Alain Chen, Changye Yang, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 1-5 [doi]
- Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance MapsZachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan. 1-4 [doi]
- Photoshopping Colonoscopy Video FramesYuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro. 1-5 [doi]
- Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural NetworksZiyi Huang, Yu Gan 0003, Theresa Lye, Darnel Theagene, Spandana Chintapalli, Simeran Virdi, Andrew Laine, Elsa D. Angelini, Christine P. Hendon. 1-4 [doi]
- Image Segmentation Using Hybrid RepresentationsAlakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy. 1-4 [doi]
- A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration NetworksMohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang 0001. 1-5 [doi]
- J Regularization Improves Imbalanced Multiclass SegmentationFidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha. 1-5 [doi]
- Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse ImagesGare Suman, Abha Saxena, Lopamudra Giri. 1-4 [doi]
- Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional NetworksLeo Brueggeman, Taylor R. Thomas, Tanner Koomar, Brady Hoskins, Jacob J. Michaelson. 1-4 [doi]
- Panoramic View of Human Jaw Under Ambiguity Intraoral Camera MovementMohamad Ghanoum, Asem M. Ali, Salwa Elshazly, Islam Alkabbany, Aly A. Farag. 1-4 [doi]
- Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic PatternsBenjamin Leinwand, Guorong Wu, Vladas Pipiras. 1-4 [doi]
- HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT ImagesYongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma. 1-4 [doi]
- Macular GCIPL Thickness Map Prediction via Time-Aware Convolutional LSTMZhiqi Chen, Yao Wang, Gadi Wollstein, María de los Angeles Ramos-Cadena, Joel S. Schuman, Hiroshi Ishikawa 0005. 1-5 [doi]
- Gradient Artifact Correction for Simultaneous EEG- fMRI using Denoising AutoencodersBen A. Duffy, Arthur W. Toga, Hosung Kim. 1-4 [doi]
- Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural NetworksMakena Low, Victor Huang, Priyanka Raina. 1-4 [doi]
- Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for SegmentationMohammad Hamghalam, Tianfu Wang, Jing Qin, Baiying Lei. 1-4 [doi]
- Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature FeaturesXin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li. 1-4 [doi]
- Improving Interpretability of 2-D Ultrasound of the Lumbar SpineLucas Porto, Robert Rohling. 1-5 [doi]
- Dynamic Missing-Data Completion Reduces Leakage of Motion Artifact Caused by Temporal Filtering that Remains After ScrubbingSeyhmus Guler, Burak Erem, Alexander Li Cohen, Onur Afacan, Simon K. Warfield. 1-4 [doi]
- Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus PhotographsCheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao 0001, Lixu Gu. 1-4 [doi]
- Convolutional Framework for Accelerated Magnetic Resonance ImagingShen Zhao, Lee C. Potter, Kiryung Lee, Rizwan Ahmad. 1-4 [doi]
- Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term MemoryDongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang 0117, Tianfu Wang, Baiying Lei. 1-4 [doi]
- Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior LearningXiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang 0002. 1-5 [doi]
- Automatic Extraction and Sign Determination of Respiratory Signal in Real-Time Cardiac Magnetic Resonance ImagingChong Chen, Yingmin Liu, Orlando P. Simonetti, Rizwan Ahmad. 1-4 [doi]
- Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect SensorZhenda Xu, Yong Zhang, Chunyang Fu, Limin Liu, Cong Chen, Wenchao Xu, Song Guo 0001. 1-5 [doi]
- Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and ClassificationZhonghang Zhu, Xin Ding, Defu Zhang, Liansheng Wang. 1-4 [doi]
- Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image RegistrationYuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo. 86-90 [doi]
- Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation ModelYudi Sang, Dan Ruan. 91-94 [doi]
- Validating Uncertainty in Medical Image TranslationJacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass. 95-98 [doi]
- Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting ProceduresYungeng Zhang, Yuru Pei, Si Chen, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 99-103 [doi]
- Joint Registration and Change Detection in Longitudinal Brain MRIEléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet. 104-108 [doi]
- Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial NetworksChi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye. 109-112 [doi]
- Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease PathologySadhana Ravikumar, Laura E. M. Wisse, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Long Xie, John L. Robinson, Theresa Schuck, Murray Grossman, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Sandhitsu R. Das, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Monica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, David J. Irwin, John Q. Trojanowski, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich. 113-117 [doi]
- Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural NetworkDanfeng Guo, Haihua Wei, Pengfei Zhao, Yue Pan, Hao-Yu Yang, Xin Wang, Junjie Bai, Kunlin Cao, Qi Song, Jun Xia, Feng Gao, Youbing Yin. 118-121 [doi]
- Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound VolumesTongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang 0001. 122-126 [doi]
- CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction ImagesNazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel. 127-130 [doi]
- SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local RefinementYeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie. 131-135 [doi]
- Braided Networks for Scan-Aware MRI Brain Tissue SegmentationMahmoud Mostapha, Boris Mailhé, Xiao Chen, Pascal Ceccaldi, Youngjin Yoo, Mariappan S. Nadar. 136-139 [doi]
- 7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested NetworkJie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen. 140-143 [doi]
- ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature LearningMo Zhang, Jie Zhao 0009, Xiang Li, Li Zhang, Quanzheng Li. 144-148 [doi]
- Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular MotionYuanhao Guo, Fons J. Verbeek, Ge Yang. 149-153 [doi]
- Fully Unsupervised Probabilistic Noise2VoidMangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug. 154-158 [doi]
- Removing Structured Noise with Self-Supervised Blind-Spot NetworksColeman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers. 159-163 [doi]
- DeepFocus: A Few-Shot Microscope Slide Auto-Focus Using a Sample Invariant CNN-Based Sharpness FunctionAdrian Shajkofci, Michael Liebling. 164-168 [doi]
- Fine-Grained Multi-Instance Classification in Microscopy Through Deep AttentionMengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher. 169-173 [doi]
- Two-Layer Residual Sparsifying Transform Learning for Image ReconstructionXuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg. 174-177 [doi]
- Adaptive Regularization for Three-Dimensional Optical Diffraction TomographyThanh-An Pham, Emmanuel Soubies, Ahmed Ayoub, Demetri Psaltis, Michael Unser. 182-186 [doi]
- An Alternating Projection-Image Domains Algorithm for Spectral CTFrédéric Jolivet, Clarisse Fournier, Michel Garcin, Lenka Zdeborová, Andrea Brambilla. 187-190 [doi]
- Block Axial Checkerboarding: A Distributed Algorithm for Helical X-Ray CT ReconstructionNaveen Murthy, Jeffrey A. Fessler. 191-194 [doi]
- Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial NetworksYao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree A. Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, Ruogu Fang. 195-198 [doi]
- Hessian Splines for Scanning Transmission X-Ray MicroscopyThomas Debarre, Benjamin Watts, Benedikt Rösner, Michael Unser. 199-202 [doi]
- Weakly Supervised Lesion Co-Segmentation on Ct ScansVatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers. 203-206 [doi]
- A Fully 3D Cascaded Framework for Pancreas SegmentationWenzhe Wang, Qingyu Song, Ruiwei Feng, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu. 207-211 [doi]
- MI-UNet: Improved Segmentation in UreteroscopySoumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher. 212-216 [doi]
- Fully-Automated Semantic Segmentation of Wireless Capsule Endoscopy AbnormalitiesSukriti Paul, Hanitha Devi Gundabattula, Chandra Sekhar Seelamantula, V. R. Mujeeb, A. S. Prasad. 221-224 [doi]
- SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy ImagesRuiwei Feng, Biwen Lei, Wenzhe Wang, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu. 225-229 [doi]
- Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping ObjectsAnton Böhm, Nikolaus Mayer, Thomas Brox. 230-234 [doi]
- Multiple Instance Learning Via Deep Hierarchical Exploration for Histology Image ClassificationJan Hering, Jan Kybic. 235-238 [doi]
- Weakly Supervised Prostate Tma Classification Via Graph Convolutional NetworksJingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood. 239-243 [doi]
- Informative Retrieval Framework for Histopathology Whole Slides Images Based on Deep Hashing NetworkDingyi Hu, Yushan Zheng, Haopeng Zhang 0001, Shujiao Sun, Fengying Xie, Jun Shi, Zhiguo Jiang. 244-248 [doi]
- Circular Anchors for the Detection of Hematopoietic Cells Using RetinanetPhilipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof. 249-253 [doi]
- Prior-Aware CNN with Multi-Task Learning for Colon Images AnalysisChaoyang Yan, Jun Xu 0005, Jiawei Xie, Chengfei Cai, Haoda Lu. 254-257 [doi]
- Segmentation and Classification of Melanoma and Nevus in Whole Slide ImagesMike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta. 263-266 [doi]
- A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning ModelPietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani. 267-270 [doi]
- Recognition of Event-associated Brain Functional Networks in EEG for Brain Network Based ApplicationsVenkateswarlu Gonuguntla, Kalyana C. Veluvolu, Jae-Hun Kim. 271-274 [doi]
- Association Between Dynamic Functional Connectivity and IntelligenceMahnaz Ashrafi, Hamid Soltanian-Zadeh. 275-278 [doi]
- Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without LesionsChenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye. 279-282 [doi]
- Compensatory Brain Connection Discovery in Alzheimer's DiseaseIman Aganj, Aina Frau-Pascual, Juan Eugenio Iglesias, Anastasia Yendiki, Jean C. Augustinack, David H. Salat, Bruce Fischl. 283-287 [doi]
- A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural NetworkYurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan. 288-291 [doi]
- Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network AnalysisYueting Wang, Defu Yang, Quefeng Li, Daniel Kaufer, Martin Styner, Guorong Wu 0001. 292-295 [doi]
- An Improved Deep Learning Approach for Thyroid Nodule DiagnosisXiangdong Guo, Haifeng Zhao, Zhenyu Tang. 296-299 [doi]
- Directional Beam Focusing Based Dual Apodization Approach for Improved Vector Flow ImagingA. N. Madhavanunni, Mahesh Raveendranatha Panicker. 300-303 [doi]
- Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility StudyAnand R, Arun Kumar Thittai. 304-307 [doi]
- High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue ClassificationLokesh Basavarajappa, Kenneth Hoyt. 308-311 [doi]
- A Filtered Delay Weight Multiply and Sum (F-DwMAS) Beamforming for Ultrasound Imaging: Preliminary ResultsAnudeep Vayyeti, Arun Kumar Thittai. 312-315 [doi]
- Reflection Ultrasound Tomography Using Localized Freehand ScansAlex Benjamin, Gregory Ely, Jonathan R. Fincke, Brian W. Anthony. 316-320 [doi]
- Regularized Kurtosis Imaging and its Comparison with Regularized Log Spectral Difference and Regularized Nakagami Imaging for Microwave Hyperthermia Hotspot MonitoringAliArshad Kothawala, Divya Baskaran, Kavitha Arunachalam, Arun Kumar Thittai. 321-324 [doi]
- CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth ImagesYouyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin 0001. 325-328 [doi]
- Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature EnhancementQin Wang, Weibing Zhao, Ruimao Zhang, Zhen Li, Shuguang Cui. 329-332 [doi]
- An Efficient Hybrid Model for Kidney Tumor Segmentation in CT ImagesXu Yan, Kun Yuan, Weibing Zhao, Sheng Wang, Zhen Li, Shuguang Cui. 333-336 [doi]
- Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and ChallengesJeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas S. Vasanawala. 337-340 [doi]
- A Triple-Stage Self-Guided Network for Kidney Tumor SegmentationXiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan. 341-344 [doi]
- Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI DataNicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon Whitcher. 345-348 [doi]
- FGB: Feature Guidance Branch for Organ Detection in Medical ImagesYixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He. 349-353 [doi]
- Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor ImagesHexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang. 354-358 [doi]
- Learning a Loss Function for Segmentation: A Feasibility StudyJan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein 0001. 357-360 [doi]
- 6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial NetworksToan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen. 359-362 [doi]
- Votenet +: An Improved Deep Learning Label Fusion Method for Multi-Atlas SegmentationZhipeng Ding, Xu Han, Marc Niethammer. 363-367 [doi]
- Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI SequencesIlya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer. 368-371 [doi]
- Spectral Graph Transformer Networks for Brain Surface ParcellationRan He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 372-376 [doi]
- A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor SegmentationTongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu. 377-380 [doi]
- Choroid Plexus Segmentation Using Optimized 3D U-NetLi Zhao 0001, Xue Feng 0001, Craig H. Meyer, David C. Alsop. 381-384 [doi]
- Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft AttentionXuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang. 385-389 [doi]
- Stimulus Speech Decoding from Human Cortex with Generative Adversarial Network Transfer LearningRan Wang, Xupeng Chen, Amirhossein Khalilian-Gourtani, Zhaoxi Chen, Leyao Yu, Adeen Flinker, Yao Wang. 390-394 [doi]
- BAENET: A Brain Age Estimation Network with 3D Skipping and Outlier Constraint LossTaiping Qu, Yangming Yue, Qirui Zhang, Cheng Wang, Zhiqiang Zhang, Guangming Lu, Wei Du, Xiuli Li. 399-403 [doi]
- Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-MatterBaptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang 0005. 404-407 [doi]
- Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental CohortLingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu. 412-415 [doi]
- Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age PredictionLufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li. 424-427 [doi]
- Leveraging Self-supervised Denoising for Image SegmentationMangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull. 428-432 [doi]
- Towards Fully Automatic 2D Us to 3D CT/MR Registration: A Novel Segmentation-Based StrategyWei Wei, Marko Rak, Julian Alpers, Christian Hansen 0001. 433-437 [doi]
- Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance ImagingMinh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu 0001, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Vanessa Moreno, María Merino 0002, Bradford J. Wood, Jin Tae Kwak. 438-441 [doi]
- V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI SegmentationOphir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer. 442-445 [doi]
- Condensed U-Net (Cu-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling LayersCem Emre Akbas, Michal Kozubek. 446-450 [doi]
- A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate AnnotationsNing Zhang, Susan Francis, Rayaz A. Malik, Xin Chen. 456-460 [doi]
- SU-Net and DU-Net Fusion for Tumour Segmentation in Histopathology ImagesYilong Li, Zhaoyang Xu, Yaqi Wang, Huiyu Zhou 0001, Qianni Zhang. 461-465 [doi]
- Histopathologic Cancer Detection by Dense-Attention Network with Incorporation of Prior KnowledgeMingyuan Liu, Yang Yu, Qingcheng Liao, Jicong Zhang. 466-470 [doi]
- Learning with Less Data Via Weakly Labeled Patch Classification in Digital PathologyEu Wern Teh, Graham W. Taylor. 471-475 [doi]
- Cancer Sensitive Cascaded Networks (CSC-Net) for Efficient Histopathology Whole Slide Image SegmentationShujiao Sun, Huining Yuan, Yushan Zheng, Haopeng Zhang 0001, Zhiguo Jiang. 476-480 [doi]
- Weakly-Supervised Deep Stain Decomposition for Multiplex IHC ImagesShahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen 0012. 481-485 [doi]
- Mitosis Detection Under Limited Annotation: A Joint Learning ApproachPushpak Pati, Antonio Foncubierta Rodríguez, Orçun Göksel, Maria Gabrani. 486-489 [doi]
- Signet Ring Cells Detection in Histology Images with Similarity LearningYibao Sun, Xingru Huang, Edgar Giussepi Lopez Molina, Le Dong, Qianni Zhang. 490-494 [doi]
- 3D Biological Cell Reconstruction with Multi-View GeometryYang Lei, Viktor Shkolnikov, Daisy Xin. 495-498 [doi]
- Interacting Convolution with Pyramid Structure Network for Automated Segmentation of Cervical Nuclei in Pap Smear ImagesXiaoqing Yang, Junmin Wu, Yan Yin. 499-502 [doi]
- Stitching Methodology for Whole Slide Low-Cost Robotic Microscope Based on a SmartphoneJuan E. Ortuño, Lin Lin, María del Pilar Ortega, Jaime García-Villena, Daniel Cuadrado, María Linares, Andrés Santos, María J. Ledesma-Carbayo, Miguel A. Luengo-Oroz. 503-507 [doi]
- A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic ImagesLong Chen 0014, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof. 508-512 [doi]
- Weakly Supervised Multi-Task Learning for Cell Detection and SegmentationAlireza Chamanzar, Yao Nie. 513-516 [doi]
- When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer DetectionElisabeth Wetzer, Jo Gay, Hugo Harlin, Joakim Lindblad, Natasa Sladoje. 517-521 [doi]
- Automated Quantitative Analysis of Microglia in Bright-Field Images of ZebrafishSamuël N. Geurts, Nynke Oosterhof, Laura E. Kuil, Herma C. van der Linde, Tjakko J. van Ham, Erik Meijering. 522-525 [doi]
- Diffeomorphic Smoothing for Retinotopic MappingYanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang 0001. 534-538 [doi]
- Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial FilteringDavid Abramian, Martin Larsson, Anders Eklund 0002, Hamid Behjat. 539-543 [doi]
- Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human BehaviourThomas A. W. Bolton, Dimitri Van De Ville. 549-553 [doi]
- Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD IdentificationNing Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu. 554-557 [doi]
- Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical GraphsHamid Behjat, Martin Larsson. 558-562 [doi]
- Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention NetworkLu Zhang, Li Wang, Dajiang Zhu. 563-567 [doi]
- Pan-Cancer Prognosis Prediction Using Multimodal Deep LearningLuís A. Vale Silva, Karl Rohr. 568-571 [doi]
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- Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CTMohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring. 577-580 [doi]
- Automatic Quantification of Pulmonary Fissure Integrity: A Repeatability AnalysisZachary W. Althof, Sarah E. Gerard, Yue Pan, Gary E. Christensen, Eric A. Hoffman, Joseph M. Reinhardt. 581-585 [doi]
- Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-ImagesSubhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne. 586-590 [doi]
- Restoration of Marker Occluded Hematoxylin and Eosin Stained Whole Slide Histology Images Using Generative Adversarial NetworksBairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian. 591-595 [doi]
- Metal Artifact Reduction and Intra Cochlear Anatomy Segmentation Inct Images of the Ear With A Multi-Resolution Multi-Task 3D NetworkJianing Wang, Jack H. Noble, Benoit M. Dawant. 596-599 [doi]
- Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning FrameworkMarta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat. 600-604 [doi]
- Deconvolution for Improved Multifractal Characterization of Tissues in Ultrasound ImagingHerwig Wendt, Mohamad Hourani, Adrian Basarab, Denis Kouamé. 605-608 [doi]
- A Physics-Motivated DNN for X-Ray CT Scatter CorrectionBerk Iskender, Yoram Bresler. 609-613 [doi]
- Multi-Cycle-Consistent Adversarial Networks for CT Image DenoisingJinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi. 614-618 [doi]
- A Completion Network for Reconstruction from Compressed AcquisitionNicolas Ducros, A. Lorente Mur, Françoise Peyrin. 619-623 [doi]
- Gram Filtering and Sinogram Interpolation for Pixel-Basis in Parallel-Beam X-Ray CT ReconstructionZiyu Shu, Alireza Entezari. 624-628 [doi]
- A New Spatially Adaptive TV Regularization for Digital Breast TomosynthesisMaissa Sghaier, Émilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller. 629-633 [doi]
- Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive RadiotherapySangjoon Park, Jong Chul Ye. 638-641 [doi]
- Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep LearningJunyoung Kim, Yoseob Han, Jong Chul Ye. 642-645 [doi]
- A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECTMd Ashequr Rahman, Richard Laforest, Abhinav K. Jha. 646-650 [doi]
- Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CTZhipeng Li, Il Yong Chun, Yong Long. 651-655 [doi]
- Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth ResolutionDufan Wu, Kyung Sang Kim, Quanzheng Li. 656-659 [doi]
- Low-Shot Learning of Automatic Dental Plaque Segmentation Based on Local-to-Global Feature FusionShuai Li, Zhennan Pang, Wenfeng Song, Yuting Guo, Wenzhe You, Aimin Hao, Hong Qin. 664-668 [doi]
- Tooth Segmentation and Labeling from Digital Dental CastsDiya Sun, Yuru Pei, Guangying Song, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 669-673 [doi]
- Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic NeurosurgeryAlejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin. 674-677 [doi]
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- A Generalizable Framework for Domain-Specific Nonrigid Registration: Application to Cardiac UltrasoundJacob J. Peoples, Randy E. Ellis. 696-699 [doi]
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- Segmentation of Bone Vessels in 3D Micro-CT Images Using the Monogenic Signal Phase and WatershedHao Xu, Max Langer, Françoise Peyrin. 741-744 [doi]
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- Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment PlanningHongyi Duanmu, Jinkoo Kim, Praitayini Kanakaraj, Andrew Wang, John Joshua, Jun Kong, Fusheng Wang. 758-762 [doi]
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- Learning Probabilistic Fusion of Multilabel Lesion ContoursGal Cohen, Hayit Greenspan, Jacob Goldberger. 767-771 [doi]
- Segmentation-Based Method Combined with Dynamic Programming for Brain Midline DelineationShen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang. 772-776 [doi]
- Residual Simplified Reference Tissue Model with Covariance EstimationKyung Sang Kim, Inki Hong, Young-Don Son, Jong-Hoon Kim, Quanzheng Li. 777-780 [doi]
- Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRIShahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh. 781-785 [doi]
- Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer LearningHaleh Akrami, Anand A. Joshi, Jian Li 0033, Sergül Aydöre, Richard M. Leahy. 786-790 [doi]
- Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty ParameterizationCarlos A. Ferreira, Guilherme Aresta, João Pedrosa, João Rebelo, Eduardo Negrão, António Cunha, Isabel Ramos, Aurélio Campilho. 791-794 [doi]
- Deep Feature Disentanglement Learning for Bone Suppression in Chest RadiographsChunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou 0001. 795-798 [doi]
- Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of AbnormalitiesJoy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood. 799-803 [doi]
- Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence PredictionVaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood. 804-808 [doi]
- AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale FusionYulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu. 809-813 [doi]
- Low-Dose Cardiac-Gated Spect Via a Spatiotemporal Convolutional Neural NetworkChao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King. 814-817 [doi]
- Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance ImagingMatthew Regehr, Andrew Volk, Michelle Noga, Kumaradevan Punithakumar. 826-829 [doi]
- Accelerated Phase Contrast Magnetic Resonance Imaging via Deep LearningRuponti Nath, Sean Callahan, Narayana Singam, Marcus F. Stoddard, Amir A. Amini. 834-838 [doi]
- A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted MyocardiumQun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia. 839-843 [doi]
- Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic FeaturesLeihao Wei, Yannan Lin, William Hsu. 844-848 [doi]
- Adversarial Normalization for Multi Domain Image SegmentationPierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 849-853 [doi]
- Blind Deconvolution of Fundamental and Harmonic Ultrasound ImagesMohamad Hourani, Adrian Basarab, Oleg V. Michailovich, Giulia Matrone, Alessandro Ramalli, Denis Kouamé, Jean-Yves Tourneret. 854-857 [doi]
- Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic DataOphir Gozes, Hayit Greenspan. 858-861 [doi]
- Zero-Shot Medical Image Artifact ReductionYu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang. 862-866 [doi]
- Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT ProjectionsLuis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H. N. de With. 867-871 [doi]
- Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural NetworkNegin Ghamsarian, Mario Taschwer, Klaus Schoeffmann. 872-876 [doi]
- In Silico Prediction of Cell Traction ForcesNicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby. 877-881 [doi]
- Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy ImagesChristian Ritter, A. Newrly, S. Schifferdecker, I. Roggenbach, B. Müller, Karl Rohr. 882-885 [doi]
- Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy ScreenJoseph Boyd, Zelia Gouveia, Franck Perez, Thomas Walter 0003. 886-890 [doi]
- Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle DynamicsMariia Dmitrieva, Joël Lefebvre, Kristofer Delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher. 891-894 [doi]
- Substituting Gadolinium in Brain MRI Using DeepContrastHaoran Sun, Xueqing Liu 0002, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo. 908-912 [doi]
- Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRIMerry P. Mani, Hemant Kumar Aggarwal, Sanjay Ghosh, Mathews Jacob. 913-916 [doi]
- Deep Learning Fast MRI Using Channel Attention in Magnitude DomainJoonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye. 917-920 [doi]
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- Joint Optimization of Sampling Pattern and Priors in Model Based Deep LearningHemant Kumar Aggarwal, Mathews Jacob. 926-929 [doi]
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- Evaluating Multi-Class Segmentation Errors with Anatomical PriorsXiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao 0001. 953-956 [doi]
- FRR-NET: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm RepairYan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Gui-bin Bian, Shi-Qi Liu, Xiao-Hu Zhou. 961-964 [doi]
- 3D Optical Flow Estimation Combining 3D Census Signature and Total Variation RegularizationSandeep Manandhar, Patrick Bouthemy, Erik Welf, Philippe Roudot, Charles Kervrann. 965-968 [doi]
- Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian MotionRoman Spilger, J. Hellgoth, J. Y. Lee, S. Hänselmann, Dirk-Peter Herten, Ralf Bartenschlager, Karl Rohr. 969-972 [doi]
- Nuclei Segmentation Using Mixed Points and Masks Selected From UncertaintyHui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas. 973-976 [doi]
- Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy ImagesChristian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. 977-980 [doi]
- Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural NetworkTianyu Ma, Ajay Gupta, Mert R. Sabuncu. 981-985 [doi]
- Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction BiasMatteo Frigo, Rutger Henri Jacques Fick, Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche. 991-994 [doi]
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- Reinforcement Tractography: A Hybrid Approach for Robust Segmentation of Complex Fiber BundlesRyan P. Cabeen, Arthur W. Toga. 999-1003 [doi]
- Modeling the Topology of Cerebral Microvessels Via Geometric Graph ContractionRafat Damseh, Farida Cheriet, Frederic Lesage. 1004-1008 [doi]
- A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic EpileptogenesisRyan P. Cabeen, Riikka J. Immonen, Neil G. Harris, Olli Gröhn, Gregory Smith, Eppu Manninen, Rachael Garner, Dominique Duncan, Asla Pitkänen, Arthur W. Toga. 1013-1017 [doi]
- Impact of 1D and 2D Visualisation on EEG-fMRI Neurofeedback Training During a Motor Imagery TaskClaire Cury, Giulia Lioi, Lorraine Perronnet, Anatole Lécuyer, Pierre Maurel, Christian Barillot. 1018-1021 [doi]
- Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum DisorderCooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo. 1022-1025 [doi]
- Anatomically Informed Bayesian Spatial Priors for FMRI AnalysisDavid Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund 0002. 1026-1030 [doi]
- A Temporal Model for Task-Based Functional MR ImagesClaire Yilin Lin, Douglas C. Noll, Jeffrey A. Fessler. 1035-1038 [doi]
- Learning Latent Structure Over Deep Fusion Model of Mild Cognitive ImpairmentLi Wang, Lu Zhang, Dajiang Zhu. 1039-1043 [doi]
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- Dynamic MRI using deep manifold self-learningAbdul Haseeb Ahmed, Hemant Aggarwal, Prashant Nagpal, Mathews Jacob. 1052-1055 [doi]
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- Fast Automatic Parameter Selection for MRI ReconstructionTanjin Taher Toma, Daniel S. Weller. 1078-1081 [doi]
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- Diagnosing Colorectal Polyps in the Wild with Capsule NetworksRodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci. 1086-1090 [doi]
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- Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact AnalysisDavid Major, Dimitrios Lenis, Maria Wimmer 0002, Gert Sluiter, Astrid Berg, Katja Bühler. 1096-1100 [doi]
- BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVMBangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi 0004. 1106-1110 [doi]
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- Supervised Augmentation: Leverage Strong Annotation for Limited DataHan Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao, JunZhou Huang. 1134-1138 [doi]
- Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital PathologyFrancesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra. 1139-1143 [doi]
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- Learning to Segment Vessels from Poorly Illuminated Fundus ImagesVibha Nasery, Krishna Bairavi Soundararajan, John M. Galeotti. 1232-1236 [doi]
- CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision NetworkKun Wang 0021, Xiaohong Zhang 0002, Sheng Huang, Qiuli Wang, Feiyu Chen. 1237-1241 [doi]
- Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus ImagesYan Guo, Rui Wang, Xia Zhou, Yang Liu, Lilong Wang, Chuanfeng Lv, Bin Lv, Guotong Xie. 1242-1245 [doi]
- Retinal Vessel Segmentation by Probing Adaptive to Lighting VariationsGuillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian. 1246-1249 [doi]
- A Data-Aware Deep Supervised Method for Retinal Vessel SegmentationSuraj Mishra, Danny Z. Chen, Xiaobo Sharon Hu. 1254-1257 [doi]
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- Automatic Classification of Artery/Vein from Single Wavelength Fundus ImagesP. Kevin Raj, Aniketh Manjunath, J. R. Harish Kumar, Chandra Sekhar Seelamantula. 1262-1265 [doi]
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- An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal ImagesHuu-Giao Nguyen, Annika Blank, Alessandro Lugli, Inti Zlobec. 1271-1274 [doi]
- Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue CytometryDaniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano. 1275-1279 [doi]
- Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in HistopathologyGonçalo Figueira, Yaqi Wang, Lingling Sun, Huiyu Zhou 0001, Qianni Zhang. 1284-1288 [doi]
- Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide ImagingTongxin Wang, Weijia Lu, Fan Yang, Li Liu, Zhongyi Dong, Weimin Tang, Jia Chang, Wenjing Huan, Kun Huang 0004, Jianhua Yao. 1289-1292 [doi]
- Region of Interest Identification for Cervical Cancer ImagesManish Gupta, Chetna Das, Arnab Roy, Prashant Gupta, G. Radhakrishna Pillai, Kamlakar Patole. 1293-1296 [doi]
- 3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal LobePaul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Ling Yu Hung, Nicolas Vergnet, Sadhana Ravikumar, Long Xie, Mengjin Dong, Robin DeFlores, Salena Cui, Lauren McCollum, Daniel T. Ohm, John L. Robinson, Theresa Schuck, Murray Grossman, M. Dylan Tisdall, Karthik Prabhakaran, Gabor Mizsei, Sandhitsu R. Das, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Mónica Muñoz López, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Edward B. Lee, John Q. Trojanowski, Laura E. M. Wisse, David A. Wolk, David J. Irwin, Ricardo Insausti. 1312-1316 [doi]
- Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease ClassificationHugo Barbaroux, Xinyang Feng, Jie Yang 0041, Andrew F. Laine, Elsa D. Angelini. 1322-1325 [doi]
- Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical VariablesKrishnakant Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer. 1326-1330 [doi]
- Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule NetworksZhicheng Jiao, Hongming Li, Yong Fan 0001. 1331-1334 [doi]
- Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental OutcomeMengting Liu, Ben A. Duffy, Zhe Sun, Arthur W. Toga, A. James Barkovich, Duan Xu, Hosung Kim. 1335-1338 [doi]
- Unsupervised Task Design to Meta-Train Medical Image ClassifiersGabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro. 1339-1342 [doi]
- Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging DataShi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan 0001. 1347-1350 [doi]
- Machine-Learning on Liver Ultrasound to Stratify Multiple Diseases via Blood-Vessels and Perfusion CharacteristicsJules Bayet, Tim Hoogenboom, Rohini Sharma, Elsa D. Angelini. 1351-1354 [doi]
- False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI ScansXin Yu, Bin Lou, Bibo Shi, David Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm 0002, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar. 1355-1359 [doi]
- Polyp Detection in Colonoscopy Videos by Bootstrapping Via Temporal ConsistencyYiting Ma, Xuejin Chen, Bin Sun. 1360-1363 [doi]
- ErrorNet: Learning Error Representations from Limited Data to Improve Vascular SegmentationNima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding. 1364-1368 [doi]
- Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic RetinopathyYijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang. 1369-1372 [doi]
- How to Extract More Information with Less Burden: Fundus Image Classification and Retinal Disease Localization with Ophthalmologist InterventionQier Meng, Yohei Hashimoto, Shin'ichi Satoh. 1373-1377 [doi]
- SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema GradingZhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu. 1378-1382 [doi]
- Spatially Informed CNN for Automated Cone Detection in Adaptive Optics Retinal ImagesHeng Jin, Jessica I. W. Morgan, James C. Gee, Min Chen 0006. 1383-1386 [doi]
- Automatic Angle-Closure Glaucoma Screening Based on the Localization of Scleral Spur in Anterior Segment OCTPanming Li, Le Geng, Weifang Zhu, Fei Shi, Xinjian Chen. 1387-1390 [doi]
- Twin Classification in Resting-State Brain ConnectivityAndrey Gritsenko, Martin A. Lindquist, Moo K. Chung. 1391-1394 [doi]
- Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture SearchHaixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu. 1399-1403 [doi]
- A Novel Framework for Grading Autism Severity Using Task-Based FMRIReem Haweel, Omar Dekhil, Ahmed Shalaby 0002, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Robert Keynton, Gregory Barnes, Ayman El-Baz. 1404-1407 [doi]
- Volumetric Registration of Brain Cortical Regions by Automatic Landmark Matching and Large Deformation DiffeomorphismsHengda He, Qolamreza Razlighi. 1412-1417 [doi]
- A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional NetworksAnqi Chen, Defu Yang, Chenggang Yan, Zi-wen Peng, Minjeong Kim, Paul J. Laurienti, Guorong Wu 0001. 1416-1419 [doi]
- Task fMRI Guided Fiber Clustering via a Deep Clustering MethodHuan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge. 1420-1423 [doi]
- Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural NetworksXiangrui Li, Jasmine Hect, Moriah Thomason, Dongxiao Zhu. 1424-1427 [doi]
- Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL)Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob. 1428-1431 [doi]
- An Evaluation of Regularization Strategies for Subsampled Single-Shell Diffusion MRIYunsong Liu, Congyu Liao, Kawin Setsompop, Justin P. Haldar. 1437-1440 [doi]
- Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available DatasetZaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck. 1441-1445 [doi]
- Fast High Dynamic Range MRI by Contrast Enhancement NetworksMatthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra. 1446-1449 [doi]
- Arterial input function and tracer kinetic model-driven network for rapid inference of kinetic maps in Dynamic Contrast-Enhanced MRI (AIF-TK-net)Joseph Kettelkamp, Sajan Goud Lingala. 1450-1453 [doi]
- Mr Imaging and Spectroscopy for Biomarker Characterization in Golden Retriever Muscular Dystrophy Tissue SamplesRomina Del Bosque, Edith Valle, Matthew D. Wilcox, Travis Carrell, Peter Nghiem, Steven M. Wright, Mary P. McDougall. 1454-1458 [doi]
- DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS DataOlfa Ben Ahmed, Seifeddine Fezzani, Carole Guillevin, Lobna Fezai, Mathieu Naudin, Benoit Gianelli, Christine Fernandez-Maloigne. 1459-1463 [doi]
- Efficient Detection of EMVI in Rectal Cancer Via Richer Context Information and Feature FusionShuai Li, Zhengdong Zhang, Yun Lu. 1464-1468 [doi]
- Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT ImagesManikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek. 1474-1477 [doi]
- Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CTSaskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro. 1478-1481 [doi]
- Computer Aided Diagnosis of Clinically Significant Prostate Cancer in Low-Risk Patients on Multi-Parametric MR Images Using Deep LearningMuhammad Arif, Ivo G. Schoots, Jose M. Castillo T, Monique J. Roobol, Wiro Niessen, Jifke F. Veenland. 1482-1485 [doi]
- Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion RetrievalJuan Wang 0007, Liang Lei, Yongyi Yang. 1486-1489 [doi]
- Medical Data Inquiry Using a Question Answering ModelZhibin Liao, Lingqiao Liu, Qi Wu 0001, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans. 1490-1493 [doi]
- Unsupervised Adversarial Correction of Rigid MR Motion ArtifactsKarim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang. 1494-1498 [doi]
- AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial NetworkFei Yu, Hexin Dong, Mo Zhang, Jie Zhao 0009, Bin Dong, Quanzheng Li, Li Zhang. 1503-1507 [doi]
- MixModule: Mixed CNN Kernel Module for Medical Image SegmentationHenry H. Yu, Xue Feng, Ziwen Wang, Hao Sun. 1508-1512 [doi]
- Mitigating Adversarial Attacks on Medical Image Understanding SystemsRahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof. 1517-1521 [doi]
- CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT ImagesZuhao Liu, Huan Wang, Wenhui Lei, Guotai Wang. 1522-1525 [doi]
- Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior RadiographsVikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal. 1526-1529 [doi]
- Knowledge Transfer Between Datasets for Learning-Based Tissue Microstructure EstimationYu Qin, Yuxing Li, Zhiwen Liu, Chuyang Ye. 1530-1533 [doi]
- Deep Learning Models to Study the Early Stages of Parkinson's DiseaseVerónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat. 1534-1537 [doi]
- Liver Segmentation in CT with MRI Data: Zero-Shot Domain Adaptation by Contour Extraction and Shape PriorsD. D. Pham, Gurbandurdy Dovletov, Josef Pauli. 1538-1542 [doi]
- Deep Random Forests for Small Sample Size Prediction with Medical Imaging DataAlexander Katzmann, Alexander Muehlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Gross. 1543-1547 [doi]
- Modeling Heterogeneity in Feature Selection for MCI ClassificationWei Zhu, Feng Shi, Jiebo Luo. 1548-1551 [doi]
- Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT ImagingMinfeng Xu, Yu Wang, Ying Chi, Xiansheng Hua. 1552-1555 [doi]
- Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular CarcinomaYunling Li, Hui Huang, Lijuan Zhang, Guangyi Wang, Honglai Zhang, Wu Zhou 0002. 1556-1560 [doi]
- OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion NetworkRui Wang, Dongyi Fan, Bin Lv, Min Wang, Qienyuan Zhou, Chuanfeng Lv, Guotong Xie, Lilong Wang. 1561-1564 [doi]
- Noise Redistribution and 3D Shearlet Filtering for Speckle Reduction in Optical Coherence TomographyYan Hu, Jianlong Yang, Jun Cheng, Jiang Liu. 1565-1569 [doi]
- Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive FeaturesSuhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv. 1570-1573 [doi]
- Hierarchy-Constrained Network for Corneal Tissue Segmentation Based on Anterior Segment OCT ImagesYang Liu, Dongfang Li, Yan Guo, Xia Zhou, Yanling Dong, Zhen Guo, Guotong Xie, Chuanfeng Lv, Bin Lv. 1579-1582 [doi]
- Deep Learning for High Speed Optical Coherence ElastographyMaximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer. 1583-1586 [doi]
- 2+ Fluorescence MicroscopyFatemeh Hadaeghi, Björn-Philipp Diercks, Insa M. A. Wolf, René Werner. 1587-1591 [doi]
- Enumeration of Ampicillin-Resistant E. Coli in Blood Using Droplet Microfluidics and High-Speed Image ProcessingYiyan Li, Hemanth Cherukury, Jan Zimak, Jacob Harrison, Ellena Peterson, Weian Zhao. 1592-1595 [doi]
- Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin FilamentsJoël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston. 1596-1599 [doi]
- ISING-GAN: Annotated Data Augmentation with a Spatially Constrained Generative Adversarial NetworkPanagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou. 1600-1603 [doi]
- Escell: Emergent Symbolic Cellular LanguageAritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang. 1604-1607 [doi]
- Image-Based Simulations of Tubular Network FormationDavid Svoboda, Tereza Necasová. 1608-1612 [doi]
- Estimation of Cell Cycle States of Human Melanoma Cells with Quantitative Phase Imaging and Deep LearningTristan Henser-Brownhill, Robert J. Ju, Nikolas K. Haass, Samantha J. Stehbens, Christoph Ballestrem, Timothy F. Cootes. 1617-1621 [doi]
- Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep LearningAnindya Gupta, Veronica Larsson, Damian J. Matuszewski, Staffan Strömblad, Carolina Wählby. 1626-1629 [doi]
- Transcriptome-Supervised Classification of Tissue Morphology Using Deep LearningAxel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby. 1630-1633 [doi]
- Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein TrackingKristofer Delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher. 1634-1637 [doi]
- MULTI-FRAME CT-VIDEO REGISTRATION FOR 3D AIRWAY-WALL ANALYSISPatrick D. Byrnes, William E. Higgins. 1638-1641 [doi]
- A Deep Learning Approach to Video Fluoroscopic Swallowing Exam ClassificationPatrick Wilhelm, Joseph M. Reinhardt, Douglas van Daele. 1647-1650 [doi]
- Recurrent Neural Networks for Compressive Video ReconstructionAntonio Lorente Mur, Françoise Peyrin, Nicolas Ducros. 1651-1654 [doi]
- Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy VideosZhe Guo, Ruiyao Zhang, Qin Li, Xinkai Liu, Daiki Nemoto, Kazutomo Togashi, S. M. Isuru Niroshana, Yuchen Shi, Xin Zhu. 1655-1658 [doi]
- Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy VideosJ. Vince Pulido, Shan Guleriai, Lubaina Ehsan, Tilak Shah, Sana Syed, Donald E. Brown. 1659-1663 [doi]
- Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI DataSoumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Eishi Asano, Jeong-Won Jeong. 1680-1684 [doi]
- Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph EmbeddingXin Ma, Guorong Wu, Won Hwa Kim. 1685-1689 [doi]
- Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic CurvesAndrei Irimia, Di Fan, Nikhil N. Chaudhari, Van Ngo, Fan Zhang 0013, Shantanu H. Joshi, Lauren J. O'Donnell. 1690-1693 [doi]
- Analysis of Consistency in Structural and Functional Connectivity of Human BrainYusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Ragini Verma. 1694-1697 [doi]
- Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and VoxelsArmin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun. 1698-1701 [doi]
- Agglomerative Region-Based AnalysisMatt Higger, Demian Wassermann, Martha Shenton, Sylvain Bouix. 1702-1705 [doi]
- Discovering Salient Anatomical Landmarks by Predicting Human GazeRichard Droste, Pierre Chatelain, Lior Drukker, H. Sharma, Aris T. Papageorghiou, Julia Alison Noble. 1711-1714 [doi]
- Earthmover-Based Manifold Learning for Analyzing Molecular Conformation SpacesNathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer. 1715-1719 [doi]
- Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional NetworkYanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang. 1720-1724 [doi]
- The Ladder Algorithm: Finding Repetitive Structures in Medical Images by InductionRhydian Windsor, Amir Jamaludin. 1729-1733 [doi]
- A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in EchocardiographyKevinminh Ta, Shawn S. Ahn, Allen Lu, John C. Stendahl, Albert J. Sinusas, James S. Duncan. 1734-1737 [doi]
- Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer NetworkDaniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan. 1738-1742 [doi]
- Coronary Wall Segmentation in CCTA Scans Via a Hybrid Net with Contours RegularizationKaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada. 1743-1747 [doi]
- Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned DenoiserSizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad. 1748-1751 [doi]
- Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRIQi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas. 1752-1755 [doi]
- Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with AutoencoderShrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga. 1756-1760 [doi]
- Generating Controllable Ultrasound Images of the Fetal HeadLok Hin Lee, J. Alison Noble. 1761-1764 [doi]
- Learning A Self-Inverse Network for Bidirectional Mri Image SynthesisZengming Shen, Yifan Chen, Kevin S. Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang. 1765-1769 [doi]
- Virtual Staining for Mitosis Detection in Breast HistopathologyCaner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz 0002, N. Weiss, Marcel van Gerven, Francesco Ciompi. 1770-1774 [doi]
- 3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron TranslationZihao Tang, Donghao Zhang, Yang Song 0001, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai. 1775-1779 [doi]
- Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural NetworkAnand Mooga, Ramanathan Sethuraman, Debdoot Sheet. 1780-1783 [doi]
- MRI to CT Synthesis of the Lumbar Spine from a Pseudo-3D Cycle GANReda Oulbacha, Samuel Kadoury. 1784-1787 [doi]
- Open-Set OCT Image Recognition with Synthetic LearningYuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu. 1788-1792 [doi]
- Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANSJiamin Liang, Xin Yang 0009, Haoming Li 0008, Yi Wang 0040, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni. 1793-1797 [doi]
- Controllable Skin Lesion Synthesis Using Texture Patches, Bézier Curves and Conditional GANsDário Augusto Borges Oliveira. 1798-1802 [doi]
- Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image SynthesisBingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao. 1803-1807 [doi]
- 3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation NetworksTal Mezheritsky, Liset Vázquez Romaguera, Samuel Kadoury. 1808-1811 [doi]
- Transformation Elastography: Converting Anisotropy to IsotropyMartina Guidetti, Dieter Klatt, Thomas J. Royston. 1812-1815 [doi]
- CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention MechanismPeng Wan, Fang Chen, Xiaowei Zhu, Chunrui Liu, Yidan Zhang, Wentao Kong, Daoqiang Zhang. 1816-1819 [doi]
- H-Scan Format for Classification of Ultrasound Scatterers and Matched Comparison to Histology MeasurementsMawia Khairalseed, Girdhari Rijal, Kenneth Hoyt. 1820-1823 [doi]
- Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style TransferZhendong Liu, Xin Yang 0009, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni. 1824-1828 [doi]
- Breast Lesion Segmentation in Ultrasound Images with Limited Annotated DataBahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz. 1834-1837 [doi]
- Three-Dimensional Voxel-Level Classification of Ultrasound ScatteringHaowei Tai, Swapnil Dolui, Mawia Khairalseed, Kenneth Hoyt. 1838-1841 [doi]
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- Self-Supervised Representation Learning for Ultrasound VideoJianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble. 1847-1850 [doi]
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- Improving Lung Nodule Detection with Learnable Non-Maximum SuppressionElvis R. Capia, Azael M. Sousa, Alexandre X. Falcão. 1861-1865 [doi]
- DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionYuemeng Li, Yang Fan. 1866-1869 [doi]
- Lung Nodule Malignancy Classification Based ON NLSTx DataBenjamin Veasey, M. Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini. 1870-1874 [doi]
- Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention TransformersJiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu. 1875-1878 [doi]
- Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance LearningEvan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach. 1879-1882 [doi]
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- Airway segmentation in speech MRI using the U-net architectureSubin Erattakulangara, Sajan Goud Lingala. 1887-1890 [doi]
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- Temporally Adaptive-Dynamic Sparse Network for Modeling Disease ProgressionJie Zhang, Yalin Wang 0001. 1900-1904 [doi]
- Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain MriChristoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab. 1905-1909 [doi]
- Learning to Detect Brain Lesions from Noisy AnnotationsDavood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour. 1910-1914 [doi]
- A High-Powered Brain Age Prediction Model Based on Convolutional Neural NetworkGuangxiang Rao, Ang Li, Yong Liu, Bing Liu. 1915-1919 [doi]
- Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's DiseaseMansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen. 1920-1923 [doi]
- Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR ImagesPraveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula. 1929-1932 [doi]
- Automatic Depression Detection via Facial Expressions Using Multiple Instance LearningYanfei Wang, Jie Ma, Bibo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li. 1933-1936 [doi]
- Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural NetworksLok Hin Lee, J. Alison Noble. 1937-1940 [doi]
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