Predictive Intelligence in Medicine: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Front Matter ....Pages i-xii
 Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI  (Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara)....Pages 1-11
 Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation  (Ahmet Serkan Göktaş, Alaa Bessadok, Islem Rekik)....Pages 12-23
 Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping  (Ahmed Nebli, Islem Rekik)....Pages 24-34
 Learned Deep Radiomics for Survival Analysis with Attention  (Ludivine Morvan, Cristina Nanni, Anne-Victoire Michaud, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin et al.)....Pages 35-45
 Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging  (Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze)....Pages 46-57
 Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction  (Xinrong Hu, Zeyang Yao, Furong Liu, Wen Xie, Hailong Qiu, Haoyu Dong et al.)....Pages 58-67
 Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands  (Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye)....Pages 68-78
 Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer’s Diseases  (Euijin Jung, Miguel Luna, Sang Hyun Park)....Pages 79-90
 Inpainting Cropped Diffusion MRI Using Deep Generative Models  (Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli et al.)....Pages 91-100
 Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification  (Alin Banka, Inis Buzi, Islem Rekik)....Pages 101-110
 Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer  (Zeynep Gürler, Ahmed Nebli, Islem Rekik)....Pages 111-122
 Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning  (Donghoon Lee, Sadegh Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu)....Pages 123-132
 Deep Parametric Mixtures for Modeling the Functional Connectome  (Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl)....Pages 133-143
 Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint  (Ahmed Nebli, Uğur Ali Kaplan, Islem Rekik)....Pages 144-155
 Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction  (Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen)....Pages 156-168
 mr\(^2\)NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography  (Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen et al.)....Pages 169-177
 Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson’s Diseases Diagnosis  (Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei et al.)....Pages 178-187
 Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment  (Simona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty)....Pages 188-199
 A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency  (Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue et al.)....Pages 200-209
Back Matter ....Pages 211-212