| 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 | 1877 | 2018 |
| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 252 | 2019 |
| Bitr-unet: a cnn-transformer combined network for mri brain tumor segmentation Q Jia, H Shu International MICCAI Brainlesion Workshop, 3-14, 2021 | 85 | 2021 |
| Sensitivity Analysis of Deep Neural Networks H Shu, H Zhu The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 33 …, 2019 | 53 | 2019 |
| D-CCA: A decomposition-based canonical correlation analysis for high-dimensional datasets H Shu, X Wang, H Zhu Journal of the American Statistical Association 115 (529), 292-306, 2020 | 42 | 2020 |
| A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation C Lyu, H Shu Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 37 | 2021 |
| Multiple testing for neuroimaging via hidden Markov random field H Shu, B Nan, R Koeppe Biometrics 71 (3), 741-750, 2015 | 37 | 2015 |
| Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations H Shu, B Nan The Annals of Statistics 47 (3), 1321--1350, 2019 | 29 | 2019 |
| A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Y Dang, Z Chen, H Li, H Shu Applied Artificial Intelligence 36 (1), 2074129, 2022 | 23 | 2022 |
| Structure-consistent restoration network for cataract fundus image enhancement H Li, H Liu, H Fu, H Shu, Y Zhao, X Luo, Y Hu, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 22 | 2022 |
| Automatic Brain Tumor Segmentation with Domain Adaptation L Dai, T Li, H Shu, L Zhong, H Shen, H Zhu Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 20 | 2019 |
| 2WM: tumor segmentation and tract statistics for assessing white matter integrity with applications to glioblastoma patients L Zhong, T Li, H Shu, C Huang, JM Johnson, DF Schomer, HL Liu, Q Feng, ... Neuroimage 223, 117368, 2020 | 14 | 2020 |
| A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation T Li, F Zhou, Z Zhu, H Shu, H Zhu 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 13 | 2018 |
| Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation J Tang, T Li, H Shu, H Zhu Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 12 | 2021 |
| A deep learning approach to re-create raw full-field digital mammograms for breast density and texture analysis H Shu, T Chiang, P Wei, KA Do, MD Lesslie, EO Cohen, A Srinivasan, ... Radiology: Artificial Intelligence 3 (4), e200097, 2021 | 7 | 2021 |
| Cross-task feedback fusion gan for joint mr-ct synthesis and segmentation of target and organs-at-risk Y Zhang, L Zhong, H Shu, Z Dai, K Zheng, Z Chen, Q Feng, X Wang, ... IEEE Transactions on Artificial Intelligence 4 (5), 1246-1257, 2022 | 6 | 2022 |
| D-GCCA: decomposition-based generalized canonical correlation analysis for multi-view high-dimensional data H Shu, Z Qu, H Zhu Journal of Machine Learning Research 23 (169), 1-64, 2022 | 6 | 2022 |
| Adversarial image generation and training for deep neural networks H Shu, R Shi, H Zhu, Z Chen arXiv preprint arXiv:2006.03243, 2020 | 5 | 2020 |
| Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model L Zhong, Z Chen, H Shu, K Zheng, Y Li, W Chen, Y Wu, J Ma, Q Feng, ... IEEE Transactions on Medical Imaging, 2023 | 4 | 2023 |
| QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration L Zhong, Z Chen, H Shu, Y Zheng, Y Zhang, Y Wu, Q Feng, Y Li, W Yang Medical image analysis 83, 102692, 2023 | 4 | 2023 |
