Table of Contents

• Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task ReorganizationXuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang 0001. 1-8 [doi]
• Spatial Regularized Classification Network for Spinal Dislocation DiagnosisBolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao. 9-17 [doi]
• Globally-Aware Multiple Instance Classifier for Breast Cancer ScreeningYiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, S. Gene Kim, Linda Moy, KyungHyun Cho, Krzysztof J. Geras. 18-26 [doi]
• Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss FunctionHykoush Asaturyan, E. Louise Thomas, Julie Fitzpatrick, Jimmy D. Bell, Barbara Villarini. 27-35 [doi]
• WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide ImagesHaomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Xunjian Zhou, Yueliang Qian. 36-44 [doi]
• Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary InformationHan Zhang, Albert C. S. Chung. 45-53 [doi]
• MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion NetworkSen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo. 54-62 [doi]
• DCCL: A Benchmark for Cervical Cytology AnalysisChangzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi, Pifu Luo, Jiebo Luo. 63-72 [doi]
• Smartphone-Supported Malaria Diagnosis Based on Deep LearningFeng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani. 73-80 [doi]
• Children's Neuroblastoma Segmentation Using Morphological FeaturesShengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yumin Zhong, Xiaofen Yao, Ya Zhang, Yanfeng Wang. 81-88 [doi]
• GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic ImagesNoha M. Ghatwary, Massoud Zolgharni, Xujiong Ye. 89-97 [doi]
• Deep Active Lesion SegmentationAli Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos. 98-105 [doi]
• Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression LearningShunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang. 106-114 [doi]
• A Relation Hashing Network Embedded with Prior Features for Skin Lesion ClassificationWenbo Zheng, Chao Gou, Lan Yan. 115-123 [doi]
• End-to-End Adversarial Shape Learning for Abdomen Organ Deep SegmentationJinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth. 124-132 [doi]
• Privacy-Preserving Federated Brain Tumour SegmentationWenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng. 133-141 [doi]
• Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology ImagesJunwei Li, Wei Shao 0005, Zhongnian Li, Weida Li, Daoqiang Zhang. 142-150 [doi]
• Semi-supervised Multi-task Learning with Chest X-Ray ImagesAbdullah-Al-Zubaer Imran, Demetri Terzopoulos. 151-159 [doi]
• Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise GenerationWei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni. 160-168 [doi]
• Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's EsophagusJoost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With. 169-177 [doi]
• Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound ImagesJianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble. 178-186 [doi]
• End-to-End Boundary Aware Networks for Medical Image SegmentationAli Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko. 187-194 [doi]
• Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional NetworksJuan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka. 195-202 [doi]
• Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable RegistrationDongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang. 203-211 [doi]
• Joint Shape Representation and Classification for Detecting PDACFengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille. 212-220 [doi]
• FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT ScansFengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille. 221-229 [doi]
• Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural NetworksJiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li. 230-237 [doi]
• Weakly Supervised Segmentation by a Deep Geodesic PriorAliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci. 238-246 [doi]
• Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional MapsDiya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 247-255 [doi]
• Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRIWenwen Li, Jian Lou, Shuo Zhou, Haiping Lu. 256-264 [doi]
• Improving Whole-Brain Neural Decoding of fMRI with Domain AdaptationShuo Zhou, Christopher R. Cox, Haiping Lu. 265-273 [doi]
• Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNetJiang Tian, Li Liu, Zhongchao Shi, Feiyu Xu. 274-282 [doi]
• Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training ImagesShohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda. 283-291 [doi]
• Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationBalamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam. 292-300 [doi]
• Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning ApproachMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. 301-309 [doi]
• Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer DetectionRiqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. 310-318 [doi]
• Dense-Residual Attention Network for Skin Lesion SegmentationLei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang. 319-327 [doi]
• Confounder-Aware Visualization of ConvNetsQingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl. 328-336 [doi]
• Detecting Lesion Bounding Ellipses with Gaussian Proposal NetworksYi Li. 337-344 [doi]
• Unsupervised Lesion Detection with Locally Gaussian ApproximationXiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu. 355-363 [doi]
• A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion DetectionYanan Wei, Xuan Jiang, Kun Liu, Cheng Zhong, Zhongchao Shi, Jianjun Leng, Feiyu Xu. 364-372 [doi]
• BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation NetworksDanfeng Xie, Yiran Li, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge, Li Bai, Ze Wang. 373-381 [doi]
• Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRINicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan. 382-390 [doi]
• Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRIJing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen. 391-399 [doi]
• A Maximum Entropy Deep Reinforcement Learning Neural TrackerShafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath. 400-408 [doi]
• Weakly Supervised Confidence Learning for Brain MR Image Dense ParcellationBin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi. 409-416 [doi]
• Select, Attend, and Transfer: Light, Learnable Skip ConnectionsSaeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh. 417-425 [doi]
• Learning-Based Bone Quality Classification Method for Spinal MetastasisShiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao. 426-434 [doi]
• Automated Segmentation of Skin Lesion Based on Pyramid Attention NetworkHuan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang. 435-443 [doi]
• Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule DetectionGuangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao. 444-452 [doi]
• Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus ImagesZhuoya Yang, Xirong Li, Xixi He, Dayong Ding, Yanting Wang, Fangfang Dai, Xuemin Jin. 453-460 [doi]
• Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic FracturesYuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille. 461-469 [doi]
• Lesion Detection by Efficiently Bridging 3D ContextZhishuai Zhang, Yuyin Zhou, Wei Shen 0002, Elliot K. Fishman, Alan L. Yuille. 470-478 [doi]
• Communal Domain Learning for Registration in Drifted Image SpacesAwais Mansoor, Marius George Linguraru. 479-488 [doi]
• Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and WarpingSharib Ali, Jens Rittscher. 489-497 [doi]
• Semantic Filtering Through Deep Source Separation on Microscopy ImagesAvelino Javer, Jens Rittscher. 498-506 [doi]
• Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI DiagnosisYiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li 0010. 507-515 [doi]
• Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD DiagnosisFanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei. 516-524 [doi]
• Learn to Step-wise Focus on Targets for Biomedical Image SegmentationSiyuan Wei, Li Wang. 525-532 [doi]
• Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural NetworkMohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi. 533-540 [doi]
• Weakly Supervised Learning Strategy for Lung Defect SegmentationRobin Sandkühler, Christoph Jud, Grzegorz Bauman, Corin Willers, Orso Pusterla, Sylvia Nyilas, Alan Peters, Lukas Ebner, Enno Stranziger, Oliver Bieri, Philipp Latzin, Philippe C. Cattin. 541-548 [doi]
• Gated Recurrent Neural Networks for Accelerated Ventilation MRIRobin Sandkühler, Grzegorz Bauman, Sylvia Nyilas, Orso Pusterla, Corin Willers, Oliver Bieri, Philipp Latzin, Christoph Jud, Philippe C. Cattin. 549-556 [doi]
• A Cascaded Multi-modality Analysis in Mild Cognitive ImpairmentLu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu. 557-565 [doi]
• Deep Residual Learning for Instrument Segmentation in Robotic SurgeryDaniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab. 566-573 [doi]
• Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRITongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu. 574-582 [doi]
• A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTsAntonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne. 583-591 [doi]
• Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep SupervisionJingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen. 592-600 [doi]
• Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac SegmentationZiqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang 0001, Ming Yang. 601-610 [doi]
• High- and Low-Level Feature Enhancement for Medical Image SegmentationHuan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang. 611-619 [doi]
• Shape-Aware Complementary-Task Learning for Multi-organ SegmentationFernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze. 620-627 [doi]
• An Active Learning Approach for Reducing Annotation Cost in Skin Lesion AnalysisXueying Shi, Qi Dou, Cheng Xue, Jing Qin 0001, Hao Chen 0011, Pheng-Ann Heng. 628-636 [doi]
• Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D ImagesMengliu Zhao, Ghassan Hamarneh. 637-645 [doi]
• FAIM - A ConvNet Method for Unsupervised 3D Medical Image RegistrationDongyang Kuang, Tanya Schmah. 646-654 [doi]
• Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's DiseaseSaurabh Garg, Martin J. McKeown. 655-663 [doi]
• Joint Holographic Detection and ReconstructionFlorence Yellin, Benjamín Béjar Horo, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray, René Vidal. 664-672 [doi]
• Reinforced Transformer for Medical Image CaptioningYuxuan Xiong, Bo Du, Pingkun Yan. 673-680 [doi]
• Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand RadiographMinqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou. 681-689 [doi]