Table of Contents

• Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease DiagnosisBiao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen. 1-9 [doi]
• Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health InterventionFeiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, JunZhou Huang. 10-18 [doi]
• Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer SegmentationNesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara. 19-27 [doi]
• Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks DetectionYaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia. 28-36 [doi]
• End-to-End Lung Nodule Detection in Computed TomographyDufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li. 37-45 [doi]
• CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation ImprovementYoubao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers. 46-54 [doi]
• Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality SimilarityXiaohuan Cao, Jianhuan Yang, Li Wang 0026, Zhong Xue, Qian Wang, Dinggang Shen. 55-63 [doi]
• Regional Abnormality Representation Learning in Structural MRI for AD/MCI DiagnosisJun-Sik Choi, Eunho Lee, Heung-Il Suk. 64-72 [doi]
• Joint Registration And Segmentation Of Xray Images Using Generative Adversarial NetworksDwarikanath Mahapatra, ZongYuan Ge, Suman Sedai, Rajib Chakravorty. 73-80 [doi]
• SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and AtrophyGerard Sanroma, Loes Rutten-Jacobs, Valerie Lohner, Johanna Kramme, Sach Mukherjee, Martin Reuter 0001, Tony Stöcker, Monique M. B. Breteler. 81-88 [doi]
• Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional NetworksFrank Preiswerk, Cheng-Chieh Cheng, Jie Luo, Bruno Madore. 89-97 [doi]
• Automatically Designing CNN Architectures for Medical Image SegmentationAliasghar Mortazi, Ulas Bagci. 98-106 [doi]
• Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics FeaturesAdrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser. 107-115 [doi]
• Can Dilated Convolutions Capture Ultrasound Video Dynamics?Mohammad Ali Maraci, Weidi Xie, J. Alison Noble. 116-124 [doi]
• Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-NetLiang Sun, Daoqiang Zhang, Li Wang 0026, Wei Shao 0005, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li 0001. 125-133 [doi]
• Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern RecognitionXian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen. 134-142 [doi]
• Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray SegmentationCheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng. 143-151 [doi]
• Brain Status Prediction with Non-negative Projective Dictionary LearningMingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan Evans. 152-160 [doi]
• Classification of Pancreatic Cystic Neoplasms Based on Multimodality ImagesWeixiang Chen, Hongchen Ji, Jianjiang Feng, Rong Liu, Yi Yu, Ruiquan Zhou, Jie Zhou. 161-169 [doi]
• Retinal Blood Vessel Segmentation Using a Fully Convolutional Network - Transfer Learning from Patch- to Image-LevelTaibou Birgui Sekou, Moncef Hidane, Julien Olivier, Hubert Cardot. 170-178 [doi]
• Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain CytoarchitectonicsKonstantin Thierbach, Pierre-Louis Bazin, Walter de Back, Filippos Gavriilidis, Evgeniya Kirilina, Carsten Jäger, Markus Morawski, Stefan Geyer, Nikolaus Weiskopf, Nico Scherf. 179-187 [doi]
• Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the HipGuodong Zeng, Qian Wang, Till Lerch, Florian Schmaranzer, Moritz Tannast, Klaus-Arno Siebenrock, Guoyan Zheng. 188-196 [doi]
• Adversarial Image Registration with Application for MR and TRUS Image FusionPingkun Yan, Sheng Xu 0001, Ardeshir R. Rastinehad, Bradford J. Wood. 197-204 [doi]
• Competition vs. Concatenation in Skip Connections of Fully Convolutional NetworksSantiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter 0001. 214-222 [doi]
• Ensemble of Multi-sized FCNs to Improve White Matter Lesion SegmentationZhewei Wang, Charles D. Smith, Jundong Liu. 223-232 [doi]
• Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional NetworkJiawei Chen, Han Zhang, Dong Nie, Li Wang 0026, Gang Li 0001, Weili Lin, Dinggang Shen. 233-240 [doi]
• Nuclei Detection Using Mixture Density NetworksNavid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot. 241-248 [doi]
• Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest RadiographsYuXing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers. 249-258 [doi]
• Graph of Hippocampal Subfields Grading for Alzheimer's Disease PredictionKilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé. 259-266 [doi]
• Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray ImagesSuman Sedai, Dwarikanath Mahapatra, ZongYuan Ge, Rajib Chakravorty, Rahil Garnavi. 267-275 [doi]
• Combining Heterogeneously Labeled Datasets For Training Segmentation NetworksJana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu. 276-284 [doi]
• SoLiD: Segmentation of Clostridioides Difficile Cells in the Presence of Inhomogeneous Illumination Using a Deep Adversarial NetworkAli Memariani, Ioannis A. Kakadiaris. 285-293 [doi]
• On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image DomainsEnzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone. 294-302 [doi]
• Early Diagnosis of Autism Disease by Multi-channel CNNsGuannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang 0026. 303-309 [doi]
• Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease DiagnosisHaijun Lei, Zhongwei Huang, Ahmed El-Azab, Hancong Li, Baiying Lei. 310-318 [doi]
• Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural NetworksEleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki. 319-327 [doi]
• Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional NetworksJong Taek Lee, Eunhee Park. 328-336 [doi]
• End-To-End Alzheimer's Disease Diagnosis and Biomarker IdentificationSoheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli. 337-345 [doi]
• Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting SchemesVanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker. 346-354 [doi]
• Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural NetworkHaifang Qin, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 355-362 [doi]
• Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography ImagesYungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 371-379 [doi]
• Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural NetworksDeepak Keshwani, Yoshiro Kitamura, Yuanzhong Li. 380-388 [doi]
• Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area LocalizationYan Shen, Mingchen Gao. 389-397 [doi]
• Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen. 398-405 [doi]