Abstract is missing.
- 3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy MapsKristofer Pomiecko, Carson Sestili, Kate Fissell, Sudhir Pathak, David O. Okonkwo, Walter Schneider. 1-5 [doi]
- Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary LabelsAhmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer. 6-10 [doi]
- Prostate Segmentation Using Z-NetYue Zhang, Jiong Wu, Wanli Chen, Yifan Chen, Xiaoying Tang. 11-14 [doi]
- Accurate Segmentation of Dental Panoramic Radiographs with U-NETSThorbjørn Louring Koch, Mathis Perslev, Christian Igel, Sami Sebastian Brandt. 15-19 [doi]
- Vessel Extraction Using Crossing-Adaptive Minimal Path Model With Anisotropic Enhancement And Curvature ConstraintLi Liu, Da Chen 0002, Laurent D. Cohen, Huazhong Shu, Michel Pâques. 20-23 [doi]
- Liver Steatosis Segmentation With Deep Learning MethodsXiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong. 24-27 [doi]
- Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid NetworkJingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, LinLin Shen, Guoping Qiu. 28-31 [doi]
- Optimized Multi-Atlas Prostate Segmentation From 3D CT ImagesYitian Zhou, Laurent Launay, Julien Bert, Renaud de Crevoisier, Oscar Acosta. 32-35 [doi]
- Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferabilityPierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard. 36-39 [doi]
- Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis InitiativeAlexander Tack, Stefan Zachow. 40-43 [doi]
- US-Net for Robust and Efficient Nuclei Instance SegmentationZhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang. 44-47 [doi]
- Automatic Detection of Cervical Spine Ligaments Origin and Insertion PointsIbraheem Al-Dhamari, Sabine Bauer 0001, Eva Keller, Dietrich Paulus. 48-51 [doi]
- Coarse-to-fine volumetric segmentation of teeth in cone-beam ctMatvey Ezhov, Adel Zakirov, Maxim Gusarev. 52-56 [doi]
- CC-NET: Image Complexity Guided Network Compression for Biomedical Image SegmentationSuraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, Xiaobo Sharon Hu. 57-60 [doi]
- Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRIJian Kang, Gihan Samarasinghe, Upul Senanayake, Sailesh Conjeti, Arcot Sowmya. 61-65 [doi]
- XAI-CBIR: Explainable AI System for Content based Retrieval of Video Frames from Minimally Invasive Surgery VideosDeepak Roy Chittajallu, Bo Dong, Paul Tunison, Roddy Collins, Katerina O. Wells, James W. Fleshman, Ganesh Sankaranarayanan, Steven D. Schwaitzberg, Lora Cavuoto, Andinet Enquobahrie. 66-69 [doi]
- One-Stage Five-Class Polyp Detection and ClassificationYu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro. 70-73 [doi]
- Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class AugmentationRoger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With. 74-78 [doi]
- Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNNHe Zheng, Hanbo Chen, JunZhou Huang, XuZhi Li, Xiao Han, Jianhua Yao. 79-82 [doi]
- Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic CapsulesGil Pinheiro, Paulo Jorge Simães Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha. 83-86 [doi]
- Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural NetworksAdrian Galdran, P. Costa, Aurélio Campilho. 87-90 [doi]
- Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal TractSharib Ali, Jens Rittscher. 91-95 [doi]
- High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural NetworkVinu Sankar Sadasivan, Chandra Sekhar Seelamantula. 96-99 [doi]
- Feature Space Extrapolation for Ulcer Classification in Wireless Capsule Endoscopy ImagesChanghoo Lee, Junki Min, Jaemyung Cha, Seungkyu Lee. 100-103 [doi]
- A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy ImagesXiaohan Xing, Yixuan Yuan, Xiao Jia 0005, Max Q.-H. Meng. 104-107 [doi]
- Estimating Brain Connectivity Using Copula Gaussian Graphical ModelsXu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando Ombao. 108-112 [doi]
- Statistical Inference on the Number of Cycles in Brain NetworksMoo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen 0001, Hyekyoung Lee. 113-116 [doi]
- Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber QuantificationXuejiao Dou, Hongxiang Yao, Dan Jin, Feng Feng, Pan Wang, Bo Zhou, Bing Liu, Zhengyi Yang, Ningyu An, Xi Zhang, Yong Liu. 117-121 [doi]
- Spreading Model for Patients with Parkinson's Disease Based on Connectivity DifferencesAlessandro Crimi, E. Kara. 122-125 [doi]
- Associations Between Maternal Depression and Infant Fronto-Limbic ConnectivityEmily L. Dennis, Ananya Singh, Conor K. Corbin, Neda Jahanshad, Tiffany C. Ho, Lucy S. King, Lauren R. Borchers, Kathryn L. Humphreys, Paul M. Thompson, Ian H. Gotlib. 126-130 [doi]
- Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed NoiseTomasz Pieciak, Fabian Bogusz, Antonio Tristán-Vega, Rodrigo de Luis García, Santiago Aja-Fernández. 131-134 [doi]
- Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle SegmentationGiulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti. 135-138 [doi]
- Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space LearningYoshitaka Masutani. 139-142 [doi]
- Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time SeriesOmar D. Domingues, Philippe Ciuciu, Daria La Rocca, Patrice Abry, Herwig Wendt. 143-146 [doi]
- Expertise-Related Global Efficiency of Functional Brain Networks in Professional and new Divers Under Simulated Deep-WaterSilvia Francesca Storti, Emanuela Formaggio, Lucio Pastena, Massimo Melucci, Lucio Ricciardi, Fabio Faralli, R. Gagliardi, Gloria Menegaz. 147-150 [doi]
- Effect of Prenatal Organic Solvent Exposure on Structural Connectivity at ChildhoodJulie Coloigner, Anne-Claire Binter, Elise Bannier, Jean-Christophe Ferré, Cécile Chevrier, Christian Barillot, Fabienne Pelé. 151-154 [doi]
- Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRIP. Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann. 155-158 [doi]
- Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted MriAnjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville. 159-163 [doi]
- Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure LearningLi Wang, Lu Zhang, Dajiang Zhu. 164-168 [doi]
- Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure ConnectomeLei Guo, Haoteng Tang, Qi Wang, Emily Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan. 169-172 [doi]
- Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson. 173-177 [doi]
- Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography DatasetsAndrea Vázquez, Narciso López-López, Nicole Labra, Miguel Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara. 178-181 [doi]
- Can Single Shell Diffusion MRI Detect Synaptic Plasticity in Mice?Lorenza Brusini, F. Cruciani, Ilaria Boscolo Galazzo, Alberto Galbusera, M. Borin, G. Paolone, G. Diana, M. Buffelli, Alessandro Gozzi, Gloria Menegaz. 182-185 [doi]
- Learning 3D White Matter Microstructure from 2D HistologyVishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson. 186-190 [doi]
- JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear ImagesYouyi Song, Jing Qin 0001, Baiying Lei, Shengfeng He, Kup-Sze Choi. 191-194 [doi]
- An Adaptative Threshold Operator Taking Shape into Account: Application to Mitochondrial Network SegmentationKévin Giulietti, Guillaume Lavisse, Aurélie Charazac, Stephan Clavel, Frédéric Bost, Xavier Descombes. 195-198 [doi]
- Semi-Automatic Cell Segmentation from Noisy Image Data for Quantification of Microtubule Organization on Single Cell LevelBirgit Möller, Katharina Bürstenbinder. 199-203 [doi]
- Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy ImagesErtunc Erdil, A. OzgurArgunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin. 204-207 [doi]
- Mask-RCNN and U-Net Ensembled for Nuclei SegmentationAarno Oskar Vuola, Saad Ullah Akram, Juho Kannala. 208-212 [doi]
- Deformable Registration of Whole Brain Zebrafish Microscopy Using an Implementation of the Flash Algorithm Within AntsGreg M. Fleishman, Miaomiao Zhang, Nicholas J. Tustison, Isabel Espinosa-Medina, Yu Mu, Khaled Khairy, Misha Ahrens. 213-217 [doi]
- Reconstructing Neuronal Anatomy from Whole-Brain ImagesJames Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül. 218-222 [doi]
- CNN-Based Preprocessing to Optimize Watershed-Based Cell Segmentation in 3D Confocal Microscopy ImagesDennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier. 223-227 [doi]
- Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student NetworkHeng Wang, Donghao Zhang, Yang Song, Siqi Liu, Yue Wang, Dagan Feng, Hanchuan Peng, Weidong Cai. 228-231 [doi]
- Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep LearningHerman Bergwerf, Malik Bechakra, Ihor Smal, Joost L. M. Jongen, Erik Meijering. 232-235 [doi]
- DIC Image Segmentation of Dense Cell Populations by Combining Deep Learning and WatershedFilip Lux, Petr Matula. 236-239 [doi]
- Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural NetworksHa Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim. 240-243 [doi]
- Learning Metric Graphs for Neuron Segmentation in Electron Microscopy ImagesKyle Luther, H. Sebastian Seung. 244-248 [doi]
- Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain DataSantiago S. Silva R., Boris A. Gutman, Eduardo Romero 0001, Paul M. Thompson, André Altmann, Marco Lorenzi. 270-274 [doi]
- Evidence For Bias Of Genetic Ancestry In Resting State Functional MRIAndré Altmann, Janaina Mourão Miranda. 275-279 [doi]
- Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology ReportsKe Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers. 285-288 [doi]
- Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa StudyJie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini. 289-293 [doi]
- Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task LearningP. M. Gordaliza, Juan José Vaquero, S. Sharpe, F. Gleeson, Arrate Muñoz-Barrutia. 294-297 [doi]
- SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels OnlyMario Zusag, S. R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini. 298-302 [doi]
- A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema SegmentationDavid Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar. 303-306 [doi]
- Inner-Loop-Free Admm For Cryo-EmLaurène Donati, Emmanuel Soubies, Michael Unser. 307-311 [doi]
- Virtual High-Framerate Microscopy Of The Beating Heart Via Sorting Of Still ImagesOlivia Mariani, Kevin G. Chan, Alexander Ernst, Nadia Mercader, Michael Liebling. 312-315 [doi]
- Improving 3D MA-TIRF Reconstruction with Deconvolution and Background EstimationEmmanuel Soubies, Laure Blanc-Féraud, Sébastien Schaub, Ellen Van Obberghen-Schilling. 316-320 [doi]
- Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization MicroscopyThanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser. 321-324 [doi]
- Dense Super-Resolution Imaging of Molecular Orientation Via Joint Sparse Basis Deconvolution and Spatial PoolingHesam Mazidi, Eshan S. King, Oumeng Zhang, Arye Nehorai, Matthew D. Lew. 325-329 [doi]
- Segmenting New Image Acquisitions Without LabelsTimothy L. Kline. 330-333 [doi]
- Expected Label Value Computation for Atlas-Based Image SegmentationIman Aganj, Bruce Fischl. 334-338 [doi]
- Cascade Decoder: A Universal Decoding Method For Biomedical Image SegmentationPeixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen. 339-342 [doi]
- V2 DL - Semantic Instance Segmentation of Touching and Overlapping ObjectsAnton Böhm, Maxim Tatarchenko, Thorsten Falk. 343-347 [doi]
- A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm NewbornsMengting Liu, Claude Lepage, Seun Jeon, Trevor Flynn, Shiyu Yuan, Justin Kim, Arthur W. Toga, A. James Barkovich, Duan Xu, Alan C. Evans, Hosung Kim. 352-355 [doi]
- Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation AnalysisLei Du, Kefei Liu 0001, Xiaohui Yao, Shannon L. Risacher, Lei Guo 0002, Andrew J. Saykin, Li Shen 0001. 356-359 [doi]
- Random Forest Regression Combined with MRI Brain Morphometry Predicts Surgical Outcome of Cochlear ImplantationZhe Sun, Ji-Won Seo, Jee Yeon Lee, Min Young Kwak, Yehree Kim, Je Yeon Lee, Arthur W. Toga, Hong Ju Park, Hosung Kim. 360-363 [doi]
- Learning An Mr Acquisition-Invariant Representation Using Siamese Neural NetworksWouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik. 364-367 [doi]
- Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural NetworksHongming Li, Yong Fan. 368-371 [doi]
- Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural netsAdnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore, Vani Santosh, Jitender Saini, Madhura Ingalhalikar. 372-375 [doi]
- 18F]Fdg Metabolic RateMatteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P. Devanand, J. John Mann, Benedetta Bodini, Bruno Stankoff. 376-379 [doi]
- An Age Estimation Method Using 3D-CNN From Brain MRI ImagesMasaru Ueda, Koichi Ito, Kai Wu 0002, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki. 380-383 [doi]
- Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoderShiqi Li, Haijun Lei, Feng Zhou 0003, Jamal Gardezi, Baiying Lei. 384-387 [doi]
- DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD ClassificationMonami Banerjee, Rudrasis Chakraborty, Derek Archer, David E. Vaillancourt, Baba C. Vemuri. 388-391 [doi]
- Multivariate Haplotype Analysis Of 96 Sulci Opening For 15, 612 UK-Biobank SujectsSlim Karkar, A. Gloaguen, Yann Le Guen, Morgane Pierre-Jean, Claire Dandine-Roulland, Edith Le Floch, Cathy Philippe, Arthur Tenenhaus, Vincent Frouin. 392-395 [doi]
- Cortical Foldingprints for Infant IdentificationDingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. 396-399 [doi]
- A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born AdolescentsHassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne. 400-403 [doi]
- Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence ScreeningJuntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan. 404-408 [doi]
- Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication StudyTiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui. 409-413 [doi]
- Graph Convolutional Neural Networks For Alzheimer's Disease ClassificationTzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Georges El Fakhri, Quanzheng Li, Keith A. Johnson, Joyita Dutta. 414-417 [doi]
- Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP DataKuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu. 418-421 [doi]
- Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During InfancyJing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li. 422-425 [doi]
- Exploring Microstructure Asymmetries in the Infant Brain Cortex: A Methodological Framework Combining Structural and Diffusion MriC. Rolland, Jessica Lebenberg, François Leroy, E. Moulton, P. Adibpour, Denis Rivière, Cyril Poupon, Lucie Hertz-Pannier, Jean-François Mangin, Ghislaine Dehaene-Lambertz, Jessica Dubois. 426-429 [doi]
- Feature Fusion Encoder Decoder Network for Automatic Liver Lesion SegmentationXueying Chen, Rong Zhang, Pingkun Yan. 430-433 [doi]
- Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet)Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing. 434-437 [doi]
- Multi-Scale Prediction Network for Lung SegmentationYuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei 0002, Yao Lu. 438-442 [doi]
- Towards Continuous Domain Adaptation For Medical ImagingRahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra. 443-446 [doi]
- Decision-Augmented Generative Adversarial Network for Skin Lesion SegmentationFeng Jiang, Feng Zhou 0003, Jing Qin 0001, Tianfu Wang, Baiying Lei. 447-450 [doi]
- Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion SegmentationAhmed H. Shahin, Karim Amer, Mustafa A. Elattar. 451-454 [doi]
- Focusnet: An Attention-Based Fully Convolutional Network for Medical Image SegmentationChaitanya Kaul, Suresh Manandhar, Nick Pears. 455-458 [doi]
- White Matter Multi-Resolution Segmentation Using Fuzzy Set TheoryA. Delmonte, Corentin Mercier, J. Pallud, Isabelle Bloch, Pietro Gori. 459-462 [doi]
- Residual Pyramid Fcn for Robust Follicle SegmentationZhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu. 463-467 [doi]
- Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty MeasureHuitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng 0001. 468-471 [doi]
- A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging SequencesYushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng 0001. 472-475 [doi]
- 3D Structure Surface Modelling From Volumetric CT ImagesYuchen Pei, Wenjin Xia, Xiuying Wang, Jieyu Li, Hongwei Ye, Lisheng Wang. 476-479 [doi]
- Automatic Segmentation of the Scoliotic Spine from Mr ImagesNassim Guerroumi, Clément Playout, Catherine Laporte, Farida Cheriet. 480-484 [doi]
- Lesion Attributes Segmentation for Melanoma Detection with Multi-Task U-NetEric Z. Chen, Xu Dong, Xiaoxiao Li, Hongda Jiang, Ruichen Rong, Junyan Wu. 485-488 [doi]
- Online Training for Body Part Segmentation in Infant Movement VideosQian Zhang, Yuan Xue, Xiaolei Huang. 489-492 [doi]
- Neuron Tracking in Calcium Image Stacks Using Accordion ArticulationsS. Gulyanon, L. He, W. D. Tracey, Gavriil Tsechpenakis. 493-496 [doi]
- Simulating Depth Perception in Virtual MicroscopyN. Courilleau, Yannick Rémion, Laurent Lucas. 497-501 [doi]
- Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy DataTim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug. 502-506 [doi]
- Excised Whole Lymph Node Imaging for Cancer Staging with Angular Restriction Dual Fluorescent Optical Projection TomographyVeronica C. Torres, Lagnojita Sinha, Chengyue Li, Kenneth M. Tichauer, Jovan G. Brankov. 507-511 [doi]
- Towards Extreme-Resolution Image Registration with Deep LearningAbdullah Nazib, Clinton Fookes, Dimitri Perrin. 512-516 [doi]
- Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy ImagesThomas Wollmann, Christian Ritter, J. N. Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. 517-520 [doi]
- Automated Quantification With Sub-Micrometer Scale Precision In Volumetric Multicolor Multiphoton Microscopy ImagesM. S. Phan, K. Matho, L. Abdeladim, J. Livet, Emmanuel Beaurepaire, A. Chessel. 521-525 [doi]
- Accelerated 3D Localization Microscopy Using Blind Sparse InpaintingSunil Kumar Gaire, Chaoyi Zhang, HongYu Li, Peizhou Huang, Ruiying Liu, Haifeng Wang, Dong Liang, Leslie Ying. 526-529 [doi]
- Neuron Image Synthesizer Via Gaussian Mixture Model and Perlin NoiseMahmoud Abdolhoseini, Murielle G. Kluge, Frederick Rohan Walker, Sarah J. Johnson. 530-533 [doi]
- Automated Quantification of Amyloid Fibrils Morphological Features by Image Processing TechniquesYi Yin, Stéphanie Prigent, Joan Torrent, Human Rezaei, Dirk Drasdo, Marie Doumic. 534-537 [doi]
- Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial NetworksSoonam Lee, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 538-542 [doi]
- A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence MicroscopyThyagarajan Radhakrishnan, Suyash P. Awate. 543-547 [doi]
- Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep LearningAmit Suveer, Anindya Gupta, Gustaf Kylberg, Ida-Maria Sintorn. 548-551 [doi]
- Three-dimensional deconvolution based on axial-scanning model for structured illumination microscopyH. Shabani, Simon Labouesse, Anne Sentenac, C. Preza. 552-555 [doi]
- Uncertainty-Aware Artery/Vein Classification on Retinal ImagesAdrian Galdran, Maria Inês Meyer, Pedro Costa 0005, Ana Maria Mendonça, Aurélio Campilho. 556-560 [doi]
- Registration Of Retinal Images From Public Health By Minimising An Error Between Vessels Using An Affine Model With Radial DistortionsGuillaume Noyel, Rebecca Thomas, S. Iles, Gavin Bhakta, Andrew Crowder, David R. Owens, Peter Boyle. 561-564 [doi]
- A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT ImagesYuhan Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen. 565-568 [doi]
- Matching The Characteristics Of Fundus And Smartphone Camera ImagesSukesh Adiga V, Jayanthi Sivaswamy. 569-572 [doi]
- Deep Learning for Weak Supervision of Diabetic Retinopathy AbnormalitiesMaroof Ahmad, Nikhil Kasukurthi, Harshit Pande. 573-577 [doi]
- Dynamic Region Proposal Networks For Semantic Segmentation In Automated Glaucoma ScreeningShivam Shah, Nikhil Kasukurthi, Harshit Pande. 578-582 [doi]
- Synthesis of Optical Nerve Head Region of Fundus ImageAnurag Deshmukh, Jayanthi Sivaswamy. 583-586 [doi]
- Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature FusionNabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Luay Fraiwan, Ahmed Aboelfetouh, Alaa Eldin M. Riad, Robert Keynton, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz. 587-591 [doi]
- Projection Artifact Suppression For Inner Retina In Oct AngiographyYihao Liu, Aaron Carass, Angeliki Filippatou, Yufan He, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince. 592-596 [doi]
- Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus ImagesZizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui. 597-600 [doi]
- Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus ImagesZeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu 0009, Pengtao Xie, Eric P. Xing. 601-604 [doi]
- Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid SegmentationPhilipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth. 605-609 [doi]
- Non-Invasive Locating Of Premature Ventricular Contraction Origin With Low Rank/Tv RegularizationLin Fang, Huafeng Liu. 636-639 [doi]
- A Radiomics Approach to Analyze Cardiac Alterations in HypertensionIrem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir. 640-643 [doi]
- Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based DescriptorsDaniela O. Medley, Carlos Santiago, Jacinto C. Nascimento. 644-648 [doi]
- Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as PriorMohammad H. Jafari, Hany Girgis, Amir H. Abdi, Zhibin Liao, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi. 649-652 [doi]
- Low-Dose Cardiac-Gated Spect Studies Using a Residual Convolutional Neural NetworkChao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King. 653-656 [doi]
- Patch-Based Sparse Representation For Bacterial DetectionAhmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, S. McLaughlin. 657-661 [doi]
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- Quantitative Photoacoustic Blood Oxygenation Imaging Using Deep Residual And Recurrent Neural NetworkChangchun Yang, Hengrong Lan, Hongtao Zhong, Fei Gao 0010. 741-744 [doi]
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- Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTMShaoyang Men, Hanqiu Ju, Lijuan Zhang, Wu Zhou 0002. 810-813 [doi]
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- Tumor Burden Assessment In Lymphoma Patients: Hierarchical Analysis Of Whole Body CTElijah Bolluyt, Alexandra Comaniciu, Bogdan Georgescu. 1307-1310 [doi]
- Novel Radiomic Features Based on Graph Theory for PET Image AnalysisZhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li. 1311-1314 [doi]
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- Abnormal Chest X-Ray Identification With Generative Adversarial One-Class ClassifierYuXing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers. 1358-1361 [doi]
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- Robust Super-Resolution Gan, with Manifold-Based and Perception LossUddeshya Upadhyay, Suyash P. Awate. 1372-1376 [doi]
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- Sparse-View Ct Reconstruction Via Convolutional Sparse CodingPeng Bao, Wenjun Xia, Kang Yang, Jiliu Zhou, Yi Zhang. 1446-1449 [doi]
- A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis ReconstructionMaissa Sghaier, Émilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller. 1450-1454 [doi]
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- Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah FunctionalDi He, Ming Jiang 0001, Alfred K. Louis, Peter Maass, Thomas Page. 1463-1466 [doi]
- Asymmetric Fiber Trajectory Distribution Estimated Using Streamline Differential EquationJianzhong He, Yuanjing Feng, Mao Li. 1467-1470 [doi]
- Comparison of Different Tensor Encoding Combinations in Microstructural Parameter EstimationMaryam Afzali, Chantal M. W. Tax, Cyrano Chatziantoniou, Derek K. Jones. 1471-1474 [doi]
- Cobundlemap: Consistent 2D Parameterization of Fiber Bundles Across Subjects and HemispheresMohammad Khatami, Regina Wehler, Thomas Schultz 0001. 1475-1478 [doi]
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- Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block ModelS. Balqis Samdin, Chee-Ming Ting, Hernando Ombao. 1483-1487 [doi]
- Acceleration Controlled Diffeomorphisms For Nonparametric Image RegressionJames Fishbaugh, Guido Gerig. 1488-1491 [doi]
- Gems - Geometric Median ShapesAlexandre Cunha. 1492-1496 [doi]
- Sensitivity Analysis Of An In Silico Model Of Tumor Growth And Radiation ResponseCarlos Sosa Marrero, O. Acosta, M. Castro, A. Hernández, Nathalie Rioux-Leclercq, F. Paris, Renaud de Crevoisier. 1497-1500 [doi]
- Hierarchical Representation For Ct Prostate SegmentationShuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen. 1501-1504 [doi]
- Multi-Modal Fusion Learning For Cervical Dysplasia DiagnosisTingting Chen, Xinjun Ma, Xingde Ying, Wenzhe Wang, Chunnv Yuan, Weiguo Lu, Danny Z. Chen, Jian Wu. 1505-1509 [doi]
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- Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble ModelJie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang. 1514-1518 [doi]
- Domain Adaptive Segmentation In Volume Electron Microscopy ImagingJoris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk. 1519-1522 [doi]
- Facilitating Data Association In Particle Tracking Using Autoencoding And Score MatchingIhor Smal, Yao Yao, Niels Galjart, Erik Meijering. 1523-1526 [doi]
- Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning ApproachTzu-Hsi Song, Gabriel Landini, Shereen Fouad, Hisham Mehanna. 1527-1531 [doi]
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- Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging DataThomas A. W. Bolton, Younes Farouj, Mert Inan, Dimitri Van De Ville. 1545-1549 [doi]
- Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using GansKarim Armanious, Sergios Gatidis, Konstantin Nikolaou, Bin Yang, Thomas Kustner. 1550-1554 [doi]
- Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder DiagnosisFanglin Huang, Ahmed El-Azab, Le Ou-Yang, Joseph Tan, Tianfu Wang, Baiying Lei. 1555-1558 [doi]
- A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain StructuresEvan M. Yu, Mert R. Sabuncu. 1559-1562 [doi]
- Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion SegmentationEytan Kats, Jacob Goldberger, Hayit Greenspan. 1563-1566 [doi]
- Improved ICH Classification Using Task-Dependent LearningAmir Bar, Michal Mauda Havakuk, Yoni Turner, Michal Safadi, Eldad Elnekave. 1567-1571 [doi]
- Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian PatientsVerónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat. 1572-1575 [doi]
- Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network ModelingYu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu. 1576-1580 [doi]
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- Graph Convolutional Network Analysis for Mild Cognitive Impairment PredictionXin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei. 1598-1601 [doi]
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