Abstract is missing.
- Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRINesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara. 1-11 [doi]
- Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single ObservationAhmet Serkan Goktas, Alaa Bessadok, Islem Rekik. 12-23 [doi]
- Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain MappingAhmed Nebli, Islem Rekik. 24-34 [doi]
- Learned Deep Radiomics for Survival Analysis with AttentionLudivine 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. 35-45 [doi]
- Robustification of Segmentation Models Against Adversarial Perturbations in Medical ImagingHanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze. 46-57 [doi]
- Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction PredictionXinrong Hu, Zeyang Yao, Furong Liu, Wen Xie, Hailong Qiu, Haoyu Dong, Qianjun Jia, Meiping Huang, Jian Zhuang, Xiaowei Xu 0004, Yiyu Shi. 58-67 [doi]
- Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency BandsDong Kyu Won, Sion An, Sang-Hyun Park, Dong Hye Ye. 68-78 [doi]
- Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's DiseasesEuijin Jung, Miguel Luna, Sang-Hyun Park. 79-90 [doi]
- Inpainting Cropped Diffusion MRI Using Deep Generative ModelsRafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl. 91-100 [doi]
- Multi-view Brain HyperConnectome AutoEncoder for Brain State ClassificationAlin Banka, Inis Buzi, Islem Rekik. 101-110 [doi]
- Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network NormalizerZeynep Gurler, Ahmed Nebli, Islem Rekik. 111-122 [doi]
- Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep LearningDonghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu. 123-132 [doi]
- Deep Parametric Mixtures for Modeling the Functional ConnectomeNicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl. 133-143 [doi]
- Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single TimepointAhmed Nebli, Ugur Ali Kaplan, Islem Rekik. 144-155 [doi]
- Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis PredictionHasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen. 156-168 [doi]
- 2NST: Multi-resolution and Multi-reference Neural Style Transfer for MammographySheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang 0001, Jie-Zhi Cheng. 169-177 [doi]
- Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases DiagnosisZihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei. 178-187 [doi]
- Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy TreatmentSimona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty. 188-199 [doi]
- A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyJiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang 0001, Dinggang Shen, Lichi Zhang. 200-209 [doi]