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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2016
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold RepresentationIslem Rekik, Gang Li, Weili Lin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|October 31, 2017
Estimation of Clean and Centered Brain Network Atlases using Diffusive-Shrinking Graphs with Application to Developing BrainsIslem Rekik, Gang Li, Weili Lin, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2018
ESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTSIslem Rekik, Gang Li, Weili Lin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning FrameworkIslem Rekik, Gang Li, Weili Lin, et al.
Patch-Based Techniques in Medical Imaging : First International Workshop, Patch-Mi 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Patch-Mi (Workshop) (1St : 2015 : Munich, Germany)|April 11, 2017
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning FrameworkIslem Rekik, Gang Li, Guorong Wu, et al.
Medical Image Analysis|March 19, 2025
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce dataMichalis Pistos, Gang Li, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 14, 2017
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal DataIslem Rekik, Gang Li, Pew-Thian Yap, et al.
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