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ORCIDPRIME@MICCAI 2023: Vancouver, BC, Canada
- Islem Rekik
, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi:
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14277, Springer 2023, ISBN 978-3-031-46004-3 - Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. 1-13 - Emircan Gündogdu, Islem Rekik:
Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline. 14-24 - Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. 25-34 - Hizir Can Bayram, Mehmet Serdar Çelebi, Islem Rekik:
RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery. 35-45 - Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya:
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. 46-57 - K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam:
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields. 58-69 - Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives. 70-82 - Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof:
DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation. 83-95 - Nishant Rajadhyaksha, Islem Rekik:
Diffusion-Based Graph Super-Resolution with Application to Connectomics. 96-107 - Xin Zhang, Deval Mehta, Chao Zhu, Daniel Merlo, Yanan Hu, Melissa Gresle, David Darby, Anneke van der Walt, Helmut Butzkueven, Zongyuan Ge:
Deep Survival Analysis in Multiple Sclerosis. 108-119 - Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. 120-133 - Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao:
Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization. 134-145 - Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof:
DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation. 146-158 - Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach. 159-171 - Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. 172-183 - Seungeun Lee, Sung Ho Hwang, Saelin Oh, Beom Jin Park, Yongwon Cho:
Multi-input Vision Transformer with Similarity Matching. 184-193 - Chun Xu, Islem Rekik:
Federated Multi-domain GNN Network for Brain Multigraph Generation. 194-205 - Alice Othmani, Muhammad Muzammel:
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. 206-217 - Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders:
Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. 218-230 - Leonardo Antunes Ferreira, Lucas Pereira Carlini, Gabriel de Almeida Sá Coutrin, Tatiany Marcondes Heideirich, Marina Carvalho de Moraes Barros, Ruth Guinsburg, Carlos Eduardo Thomaz:
Revisiting N-CNN for Clinical Practice. 231-240 - Gabriela T. Acevedo Trebbau, Andrea Bandini, Diego L. Guarin:
Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson's Disease. 241-252 - Sapir Gershov, Fadi Mahameed, Aeyal Raz, Shlomi Laufer:
More Than Meets the Eye: Analyzing Anesthesiologists' Visual Attention in the Operating Room Using Deep Learning Models. 253-264 - Caroline Malin-Mayor, Vida Adeli, Andrea Sabo, Sergey Noritsyn, Carolina Gorodetsky, Alfonso Fasano, Andrea Iaboni, Babak Taati:
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia. 265-276 - R. James Cotton, J. D. Peiffer, Kunal Shah, Allison DeLillo, Anthony Cimorelli, Shawana Anarwala, Kayan Abdou, Tasos Karakostas:
Self-Supervised Learning of Gait-Based Biomarkers. 277-291
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