| Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound Y Wang, N Wang, M Xu, J Yu, C Qin, X Luo, X Yang, T Wang, A Li, D Ni IEEE transactions on medical imaging 39 (4), 866-876, 2019 | 164 | 2019 |
| Densely deep supervised networks with threshold loss for cancer detection in automated breast ultrasound N Wang, C Bian, Y Wang, M Xu, C Qin, X Yang, T Wang, A Li, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 41 | 2018 |
| DNAGPT: a generalized pre-trained tool for versatile DNA sequence analysis tasks D Zhang, W Zhang, Y Zhao, J Zhang, B He, C Qin, J Yao arXiv preprint arXiv:2307.05628, 2023 | 29 | 2023 |
| 3D Inception U‐net with asymmetric loss for cancer detection in automated breast ultrasound Y Wang, C Qin, C Lin, D Lin, M Xu, X Luo, T Wang, A Li, D Ni Medical Physics 47 (11), 5582-5591, 2020 | 27 | 2020 |
| Joint affine and deformable three‐dimensional networks for brain MRI registration Z Zhu, Y Cao, C Qin, Y Rao, D Lin, Q Dou, D Ni, Y Wang Medical Physics 48 (3), 1182-1196, 2021 | 23 | 2021 |
| Edge-aware pyramidal deformable network for unsupervised registration of brain MR images Y Cao, Z Zhu, Y Rao, C Qin, D Lin, Q Dou, D Ni, Y Wang Frontiers in Neuroscience 14, 620235, 2021 | 17 | 2021 |
| DNAGPT: a generalized pre-trained tool for multiple DNA sequence analysis tasks. bioRxiv D Zhang, W Zhang, B He, J Zhang, C Qin, J Yao | 15 | 2023 |
| Unsupervised 3D end-to-end deformable network for brain MRI registration Z Zhu, Y Cao, C Qin, Y Rao, D Ni, Y Wang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 15 | 2020 |
| A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage Y Chen, C Qin, J Chang, Y Lyu, Q Zhang, Z Ye, Z Li, F Tian, W Ma, J Wei, ... European Radiology 33 (6), 4052-4062, 2023 | 11 | 2023 |
| SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor Y Zhao, X Su, W Zhang, S Mai, Z Xu, C Qin, R Yu, B He, J Yao Briefings in Bioinformatics 24 (4), bbad191, 2023 | 9 | 2023 |
| Defining delayed perihematomal edema expansion in intracerebral hemorrhage: segmentation, time course, risk factors and clinical outcome Y Chen, C Qin, J Chang, Y Liu, Q Zhang, Z Ye, Z Li, F Tian, W Ma, J Wei, ... Frontiers in Immunology 13, 911207, 2022 | 7 | 2022 |
| An artificial intelligence-based prognostic prediction model for hemorrhagic stroke Y Chen, C Jiang, J Chang, C Qin, Q Zhang, Z Ye, Z Li, F Tian, W Ma, ... European Journal of Radiology 167, 111081, 2023 | 5 | 2023 |
| Fast and accurate modeling and design of antibody-antigen complex using tFold F Wu, Y Zhao, J Wu, B Jiang, B He, L Huang, C Qin, F Yang, N Huang, ... bioRxiv, 2024.02. 05.578892, 2024 | 4 | 2024 |
| Automatic brain midline surface delineation on 3d ct images with intracranial hemorrhage D Wu, H Li, J Chang, C Qin, Y Chen, Y Liu, Q Zhang, B Huang, M Feng, ... IEEE Transactions on Medical Imaging 41 (9), 2217-2227, 2022 | 4 | 2022 |
| CD-GPT: a biological foundation model bridging the gap between molecular sequences through central dogma X Zhu, C Qin, F Wang, F Yang, B He, Y Zhao, J Yao bioRxiv, 2024.06. 24.600337, 2024 | 2 | 2024 |
| Standardized measurement of mid-surface shift of brain based on deep Hough transform W Zhou, C Qin, J Chang, Y Liu, Y Chen, M Feng, R Wang, W Yang, J Yao Computerized Medical Imaging and Graphics 108, 102284, 2023 | 2 | 2023 |
| Ideal midsagittal plane detection using deep hough plane network for brain surgical planning C Qin, W Zhou, J Chang, Y Chen, D Wu, Y Liu, M Feng, R Wang, W Yang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| 3D brain midline delineation for hematoma patients C Qin, H Li, Y Liu, H Shang, H Pei, X Wang, Y Chen, J Chang, M Feng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 2 | 2021 |
| An Unsupervised Multispectral Image Registration Network for Skin Diseases S Diao, W Zhou, C Qin, J Liao, J Huang, W Yang, J Yao International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Near-Infrared II Hyperspectral Imaging Improves the Accuracy of Pathological Sampling of Multiple Cancer Types L Zhang, J Liao, H Wang, M Zhang, Y Liu, C Jiang, D Han, Z Jia, C Qin, ... Laboratory Investigation 103 (10), 100212, 2023 | 1 | 2023 |
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