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Jinlin Xiang

Showing results (1-10 of 4) with videos related to

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Applied Optics|March 25, 2022
Knowledge distillation circumvents nonlinearity for optical convolutional neural networksJinlin Xiang, Shane Colburn, Arka Majumdar, et al.
Computers in Biology and Medicine|August 1, 2024
DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivalsJinlin Xiang, Bozhao Qi, Marc Cerou, et al.
Nature Communications|July 2, 2025
Transferable polychromatic optical encoder for neural networksMinho Choi, Jinlin Xiang, Anna Wirth-Singh, et al.
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health : Third MICCAI Workshop, Decaf 2022 and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Sin|July 7, 2023
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI SegmentationChenyu You, Jinlin Xiang, Kun Su, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Applied Optics|March 25, 2022
Knowledge distillation circumvents nonlinearity for optical convolutional neural networksJinlin Xiang, Shane Colburn, Arka Majumdar, et al.
Computers in Biology and Medicine|August 1, 2024
DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivalsJinlin Xiang, Bozhao Qi, Marc Cerou, et al.
Nature Communications|July 2, 2025
Transferable polychromatic optical encoder for neural networksMinho Choi, Jinlin Xiang, Anna Wirth-Singh, et al.
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health : Third MICCAI Workshop, Decaf 2022 and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Sin|July 7, 2023
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI SegmentationChenyu You, Jinlin Xiang, Kun Su, et al.
Pageof 1