Front Matter ....Pages i-xiii
TADPOLE Challenge: Accurate Alzheimerโs Disease Prediction Through Crowdsourced Forecasting of Future Data (Rฤzvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner et al.)....Pages 1-10
Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study (Alina Giger, Christoph Jud, Damien Nguyen, Miriam Krieger, Ye Zhang, Antony J. Lomax et al.)....Pages 11-22
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI (Ahmed M. Anter, Zhiguo Zhang)....Pages 23-33
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening (Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei et al.)....Pages 34-43
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning (Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig et al.)....Pages 44-52
Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI (Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo)....Pages 53-62
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection (Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik)....Pages 63-72
Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model (Alexander Katzmann, Alexander Mรผhlberg, Michael Sรผhling, Dominik Nรถrenberg, Stefan Maurus, Julian Walter Holch et al.)....Pages 73-80
7 Years of Developing Seed Techniques for Alzheimerโs Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis (Mayssa Soussia, Islem Rekik)....Pages 81-93
Generative Adversarial Irregularity Detection in Mammography Images (Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli)....Pages 94-104
Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph (Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik)....Pages 105-114
Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods (Kรผbra Cengiz, Islem Rekik)....Pages 115-124
Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks (Ihsan Ullah, Philip Chikontwe, Sang Hyun Park)....Pages 125-133
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment (Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao)....Pages 134-141
Diagnosis of Parkinsonโs Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning (Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei)....Pages 142-150
Automatic Detection of Bowel Disease with Residual Networks (Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz)....Pages 151-159
Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimerโs Disease (Qifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad et al.)....Pages 160-167
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks (Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim)....Pages 168-176
Correction to: Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning (Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig et al.)....Pages C1-C1
Back Matter ....Pages 177-178