Rizhong Lin

rizhong.lin@epfl.ch https://RizhongLin.github.io/

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Publications

2026

UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

X. Gao; R. Lin; J. Feng; Y. Shi; Y. Qiao

2026. 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025), Daejeon (Republic of Korea), 2025-09-23 - 2025-09-27. p. 638 - 649. DOI : 10.1007/978-3-032-04965-0_60.

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2025

Deep Learning for fODF Estimation in Infant Brains: Model Comparison, Ground-Truth Impact, and Domain Shift Mitigation

R. Lin; H. Kebiri; A. Gholipour; Y. Chen; J. Thiran et al.

Human Brain Mapping. 2025. DOI : 10.1002/hbm.70367.

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Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains

R. Lin; H. Kebiri; A. Gholipour; Y. Chen; J. P. Thiran et al.

2025. 15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, 2024-10-06 - 2024-10-06. p. 24 - 34. DOI : 10.1007/978-3-031-86920-4_3.

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2024

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

R. Lin; A. Gholipour; J.-P. Thiran; D. Karimi; H. Kebiri et al.

2024. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024-05-27 - 2024-05-30. p. 1 - 5. DOI : 10.1109/ISBI56570.2024.10635347.

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2023

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

H. Kebiri; A. Gholipour; R. Lin; L. Vasung; D. Karimi et al.

2023. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, Canada, October 8-12, 2023. p. 293 - 303. DOI : 10.1007/978-3-031-43990-2_28.

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