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ORCIDPRIME@MICCAI 2024: Marrakesh, Morocco
- Islem Rekik
, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15155, Springer 2025, ISBN 978-3-031-74560-7 - Florentin Bieder, Paul Friedrich, Hélène Corbaz, Alicia Durrer, Julia Wolleb, Philippe C. Cattin:
Modeling the Neonatal Brain Development Using Implicit Neural Representations. 1-11 - Sijin Yu, Xuejiao Li, Huirong Lei, Yingxue Yao, Zhaojin Chen, Zicong Zheng, Guodong Liang, Xiaofen Xing, Xin Zhang, Chengfang Xu:
Attention-Based-Features-Fusion Emotion-Guided fNIRS Classification Network for Prenatal Depression Recognition. 12-23 - Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. 24-34 - Mohammad Arafat Hussain, Ellen Grant, Yangming Ou:
RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence. 35-47 - Sooyeon Jeon, Yujee Song, Won Hwa Kim:
Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models. 48-60 - Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye:
Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling. 61-73 - Saebom Shin, Hye Su Jin, Kyungyoon Jung, Bokyung Park, Jihun Yoon, Sungjae Kim, Jung-Eun Park, Helen Hong, Hansol Choi, Seokrae Park, Youngno Yoon, Yoo Min Kim, Min-Kook Choi, Woo Jin Hyung:
Automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy. 74-85 - Jamie Vo, Naeha Sharif, Ghulam Mubashar Hassan:
MNA-net: Multimodal Neuroimaging Attention-Based Architecture for Cognitive Decline Prediction. 86-98 - Domen Preloznik, Ziga Spiclin:
Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning. 99-110 - Scarlet Xiao, Islem Rekik:
DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity. 111-123 - Pragya Singh, Islem Rekik:
Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution. 124-136 - Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik:
Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion. 137-148 - Berta Calm Salvans, Irene Cumplido-Mayoral, Juan Domingo Gispert, Verónica Vilaplana:
Identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors. 149-160 - Cynthia Maldonado García, Arezoo Zakeri, Alejandro F. Frangi, Nishant Ravikumar:
Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. 161-172 - Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations. 173-184 - Jocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, Robert Paul, Ehsan Adeli-Mosabbeb, Kilian M. Pohl:
Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. 185-195 - Yousef Sadegheih, Dorit Merhof:
Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study. 196-206
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