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ORCID3rd PRIME@MICCAI 2020: Lima, Peru
- Islem Rekik
, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández:
Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12329, Springer 2020, ISBN 978-3-030-59353-7 - Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara:
Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI. 1-11 - Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik:
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. 12-23 - Ahmed Nebli, Islem Rekik:
Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. 24-34 - Ludivine Morvan, Cristina Nanni, Anne-Victoire Michaud, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin, Stephane Chauvie, Cyrille Touzeau, Philippe Moreau, Elena Zamagni, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus:
Learned Deep Radiomics for Survival Analysis with Attention. 35-45 - Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. 46-57 - Xinrong Hu, Zeyang Yao, Furong Liu, Wen Xie, Hailong Qiu, Haoyu Dong, Qianjun Jia, Meiping Huang, Jian Zhuang, Xiaowei Xu, Yiyu Shi:
Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction. 58-67 - Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye:
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. 68-78 - Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. 79-90 - Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl:
Inpainting Cropped Diffusion MRI Using Deep Generative Models. 91-100 - Alin Banka, Inis Buzi, Islem Rekik:
Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification. 101-110 - Zeynep Gürler, Ahmed Nebli, Islem Rekik:
Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. 111-122 - Donghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu:
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning. 123-132 - Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Deep Parametric Mixtures for Modeling the Functional Connectome. 133-143 - Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik:
Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. 144-155 - Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen:
Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction. 156-168 - Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. 169-177 - Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei:
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. 178-187 - Simona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty:
Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment. 188-199 - Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. 200-209
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