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Li Sun
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17752018
Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans With Deep Learning
L Sun, S Zhang, H Chen, L Luo
Frontiers in Neuroscience 13, 810, 2019
2302019
Transposable elements are regulated by context-specific patterns of chromatin marks in mouse embryonic stem cells
J He, X Fu, M Zhang, F He, W Li, MM Abdul, J Zhou, L Sun, C Chang, Y Li, ...
Nature communications 10 (1), 34, 2019
1172019
Can contrastive learning avoid shortcut solutions?
J Robinson, L Sun, K Yu, K Batmanghelich, S Jegelka, S Sra
Advances in Neural Information Processing Systems 34, 2021
1012021
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis
L Sun, J Chen, Y Xu, M Gong, K Yu, K Batmanghelich
IEEE Journal of Biomedical and Health Informatics, 2022
54*2022
Context matters: Graph-based self-supervised representation learning for medical images
L Sun, K Yu, K Batmanghelich
Proceedings of the... AAAI Conference on Artificial Intelligence. AAAI …, 2021
202021
Knowledge Distillation via Constrained Variational Inference
A Saeedi, Y Utsumi, L Sun, K Batmanghelich, L Lehman
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8132-8140, 2022
32022
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
L Sun, F Luisier, K Batmanghelich, D Florencio, C Zhang
arXiv preprint arXiv:2305.14571, 2023
22023
DrasCLR: A Self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images
K Yu, L Sun, J Chen, M Reynolds, T Chaudhary, K Batmanghelich
Medical Image Analysis, 103062, 2023
12023
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