| Abdomenct-1k: Is abdominal organ segmentation a solved problem? J Ma, Y Zhang, S Gu, C Zhu, C Ge, Y Zhang, X An, C Wang, Q Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6695 …, 2021 | 396 | 2021 |
| Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation J Ma, Y Wang, X An, C Ge, Z Yu, J Chen, Q Zhu, G Dong, J He, Z He, ... Medical physics 48 (3), 1197-1210, 2021 | 345* | 2021 |
| COVID-19 CT lung and infection segmentation dataset M Jun, G Cheng, W Yixin, A Xingle, G Jiantao, Y Ziqi, Z Minqing, L Xin, ... (No Title), 2020 | 290 | 2020 |
| Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ... Medical Image Analysis 82, 102616, 2022 | 161 | 2022 |
| Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge J Ma, Y Zhang, S Gu, C Ge, S Mae, A Young, C Zhu, X Yang, K Meng, ... The Lancet Digital Health 6 (11), e815-e826, 2024 | 109* | 2024 |
| The multimodality cell segmentation challenge: toward universal solutions J Ma, R Xie, S Ayyadhury, C Ge, A Gupta, R Gupta, S Gu, Y Zhang, G Lee, ... Nature methods, 1-11, 2024 | 71 | 2024 |
| Designing antimicrobial peptides using deep learning and molecular dynamic simulations Q Cao, C Ge, X Wang, PJ Harvey, Z Zhang, Y Ma, X Wang, X Jia, M Mobli, ... Briefings in Bioinformatics 24 (2), bbad058, 2023 | 45 | 2023 |
| Automatic organ and pan-cancer segmentation in abdomen ct: the flare 2023 challenge J Ma, Y Zhang, S Gu, C Ge, E Wang, Q Zhou, Z Huang, P Lyu, J He, ... arXiv preprint arXiv:2408.12534, 2024 | 20 | 2024 |
| Deep convolutional neural network for nasopharyngeal carcinoma discrimination on mri by comparison of hierarchical and simple layered convolutional neural networks L Ji, R Mao, J Wu, C Ge, F Xiao, X Xu, L Xie, X Gu Diagnostics 12 (10), 2478, 2022 | 10 | 2022 |
| DePS: an improved deep learning model for de novo peptide sequencing C Ge, Y Lu, J Qu, L Xie, F Wang, H Zhang, R Kong, S Chang arXiv preprint arXiv:2203.08820, 2022 | 9 | 2022 |
| COVID-19 imaging-based AI research-a literature review C Ge, L Zhang, L Xie, R Kong, H Zhang, S Chang Current medical imaging 18 (5), 496-508, 2022 | 6 | 2022 |
| COVID-19 CT Lung and Infection Segmentation Dataset. 10.5281/zenodo. 3757475 M Jun, G Cheng, W Yixin, A Xingle, G Jiantao, Y Ziqi, Z Minqing, L Xin, ... Accessed, 2021 | 5 | 2021 |
| Spine MRI image segmentation method based on ASPP and U-Net network B Cai, Q Xu, C Yang, Y Lu, C Ge, Z Wang, K Liu, X Qiu, S Chang Mathematical Biosciences and Engineering 20 (9), 15999-16014, 2023 | 2 | 2023 |
| Antibody sequences assembly method based on weighted de Bruijn graph Y Lu, C Ge, B Cai, Q Xu, R Kong, S Chang Mathematical Biosciences and Engineering 20 (4), 6174-6190, 2023 | | 2023 |
Jun MaUniversity of TorontoAdresse e-mail validée de mail.utoronto.ca