| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 489 | 2022 |
| Transmorph: Transformer for unsupervised medical image registration J Chen, EC Frey, Y He, WP Segars, Y Li, Y Du Medical image analysis 82, 102615, 2022 | 375 | 2022 |
| Vit-v-net: Vision transformer for unsupervised volumetric medical image registration J Chen, Y He, EC Frey, Y Li, Y Du arXiv preprint arXiv:2104.06468, 2021 | 218 | 2021 |
| Dints: Differentiable neural network topology search for 3d medical image segmentation Y He, D Yang, H Roth, C Zhao, D Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 107 | 2021 |
| Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory L Zuo, BE Dewey, Y Liu, Y He, SD Newsome, EM Mowry, SM Resnick, ... NeuroImage 243, 118569, 2021 | 93 | 2021 |
| Autoencoder based self-supervised test-time adaptation for medical image analysis Y He, A Carass, L Zuo, BE Dewey, JL Prince Medical image analysis 72, 102136, 2021 | 91 | 2021 |
| Structured layer surface segmentation for retina OCT using fully convolutional regression networks Y He, A Carass, Y Liu, BM Jedynak, SD Solomon, S Saidha, PA Calabresi, ... Medical image analysis 68, 101856, 2021 | 84 | 2021 |
| Fully convolutional boundary regression for retina OCT segmentation Y He, A Carass, Y Liu, BM Jedynak, SD Solomon, S Saidha, PA Calabresi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 80 | 2019 |
| Whole brain segmentation and labeling from CT using synthetic MR images C Zhao, A Carass, J Lee, Y He, JL Prince Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 75 | 2017 |
| Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls Y He, A Carass, SD Solomon, S Saidha, PA Calabresi, JL Prince Data in brief 22, 601-604, 2019 | 72 | 2019 |
| Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT Y He, A Carass, Y Liu, BM Jedynak, SD Solomon, S Saidha, PA Calabresi, ... Biomedical optics express 10 (10), 5042-5058, 2019 | 71 | 2019 |
| Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization S Han, A Carass, Y He, JL Prince Neuroimage 218, 116819, 2020 | 66 | 2020 |
| A disentangled latent space for cross-site MRI harmonization BE Dewey, L Zuo, A Carass, Y He, Y Liu, EM Mowry, S Newsome, J Oh, ... International conference on medical image computing and computer-assisted …, 2020 | 62 | 2020 |
| Towards topological correct segmentation of macular OCT from cascaded FCNs Y He, A Carass, Y Yun, C Zhao, BM Jedynak, SD Solomon, S Saidha, ... Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop …, 2017 | 55 | 2017 |
| Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d medical image segmentation Y He, V Nath, D Yang, Y Tang, A Myronenko, D Xu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 46 | 2023 |
| Information-based disentangled representation learning for unsupervised MR harmonization L Zuo, BE Dewey, A Carass, Y Liu, Y He, PA Calabresi, JL Prince International Conference on Information Processing in Medical Imaging, 346-359, 2021 | 46 | 2021 |
| Parallel deep neural networks for endoscopic OCT image segmentation D Li, J Wu, Y He, X Yao, W Yuan, D Chen, HC Park, S Yu, JL Prince, X Li Biomedical optics express 10 (3), 1126-1135, 2019 | 42 | 2019 |
| Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks Y He, A Carass, BM Jedynak, SD Solomon, S Saidha, PA Calabresi, ... arXiv preprint arXiv:1803.05120, 2018 | 40 | 2018 |
| Self domain adapted network Y He, A Carass, L Zuo, BE Dewey, JL Prince Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 39 | 2020 |
| MONAI: an open-source framework for deep learning in healthcare (2022) MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2023 | 35 | 2023 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
