Abstract is missing.
- TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future DataRazvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein 0001, Daniel C. Alexander. 1-10 [doi]
- Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility StudyAlina Giger, Christoph Jud, Damien Nguyen, Miriam Krieger, Ye Zhang, Antony J. Lomax, Oliver Bieri, Rares Salomir, Philippe C. Cattin. 11-22 [doi]
- Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRIAhmed M. Anter, Zhiguo Zhang. 23-33 [doi]
- Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk ScreeningChiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng. 34-43 [doi]
- Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised LearningAntoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic. 44-52 [doi]
- Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRIKevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo. 53-62 [doi]
- Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample SelectionOlfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik. 63-72 [doi]
- Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards ModelAlexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Stefan Maurus, Julian Walter Holch, Volker Heinemann, Horst-Michael Groß. 73-80 [doi]
- 7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for PrognosisMayssa Soussia, Islem Rekik. 81-93 [doi]
- Generative Adversarial Irregularity Detection in Mammography ImagesMilad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli. 94-104 [doi]
- Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source GraphAlaa Bessadok, Mohamed-Ali Mahjoub, Islem Rekik. 105-114 [doi]
- Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution NeighborhoodsKübra Cengiz, Islem Rekik. 115-124 [doi]
- Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial NetworksIhsan Ullah, Philip Chikontwe, Sang-Hyun Park. 125-133 [doi]
- Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive ImpairmentAojie Li, Ling Yue, Manhua Liu, Shifu Xiao. 134-141 [doi]
- Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble LearningHaijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei. 142-150 [doi]
- Automatic Detection of Bowel Disease with Residual NetworksRobert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz. 151-159 [doi]
- Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's DiseaseQifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad. 160-167 [doi]
- Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural NetworksHansang Lee, Helen Hong, Jinsil Seong, Jin-Sung Kim, Junmo Kim. 168-176 [doi]