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Alan Q Wang

Showing results (1-10 of 8) with videos related to

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Medical Image Analysis|March 22, 2023
Hyper-convolutions via implicit kernels for medical image analysisTianyu Ma, Alan Q Wang, Adrian V Dalca, et al.
Medical Image Analysis|September 28, 2023
A robust and interpretable deep learning framework for multi-modal registration via keypointsAlan Q Wang, Evan M Yu, Adrian V Dalca, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 20, 2025
Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brainHeejong Kim, Batuhan K Karaman, Qingyu Zhao, et al.
Transactions on Machine Learning Research|January 19, 2026
Knockout: A simple way to handle missing inputsMinh Nguyen, Batuhan K Karaman, Heejong Kim, et al.
Arxiv|March 17, 2025
Generating Novel Brain Morphology by Deforming Learned TemplatesAlan Q Wang, Fangrui Huang, Bailey Trang, et al.
IEEE Access : Practical Innovations, Open Solutions|October 18, 2024
A Framework for Interpretability in Machine Learning for Medical ImagingAlan Q Wang, Batuhan K Karaman, Heejong Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 2, 2026
Generating Novel Brain Morphology by Deforming Learned TemplatesAlan Q Wang, Fangrui Huang, Bailey Trang, et al.
Advances in Neural Information Processing Systems|May 6, 2026
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image GenerationBailey Trang, Parham Saremi, Alan Q Wang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|March 22, 2023
Hyper-convolutions via implicit kernels for medical image analysisTianyu Ma, Alan Q Wang, Adrian V Dalca, et al.
Medical Image Analysis|September 28, 2023
A robust and interpretable deep learning framework for multi-modal registration via keypointsAlan Q Wang, Evan M Yu, Adrian V Dalca, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 20, 2025
Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brainHeejong Kim, Batuhan K Karaman, Qingyu Zhao, et al.
Transactions on Machine Learning Research|January 19, 2026
Knockout: A simple way to handle missing inputsMinh Nguyen, Batuhan K Karaman, Heejong Kim, et al.
Arxiv|March 17, 2025
Generating Novel Brain Morphology by Deforming Learned TemplatesAlan Q Wang, Fangrui Huang, Bailey Trang, et al.
IEEE Access : Practical Innovations, Open Solutions|October 18, 2024
A Framework for Interpretability in Machine Learning for Medical ImagingAlan Q Wang, Batuhan K Karaman, Heejong Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 2, 2026
Generating Novel Brain Morphology by Deforming Learned TemplatesAlan Q Wang, Fangrui Huang, Bailey Trang, et al.
Advances in Neural Information Processing Systems|May 6, 2026
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image GenerationBailey Trang, Parham Saremi, Alan Q Wang, et al.
Pageof 1