| 3-D convolutional neural networks for glioblastoma segmentation D Yi, M Zhou, Z Chen, O Gevaert arXiv preprint arXiv:1611.04534, 2016 | 67 | 2016 |
| A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark Y Gao, M Zhou, D Liu, Z Yan, S Zhang, DN Metaxas arXiv preprint arXiv:2203.00131, 2022 | 81 | 2022 |
| A large-scale synthetic pathological dataset for deep learning-enabled segmentation of breast cancer K Ding, M Zhou, H Wang, O Gevaert, D Metaxas, S Zhang Scientific Data 10 (1), 231, 2023 | 37 | 2023 |
| A multi-view deep convolutional neural networks for lung nodule segmentation S Wang, M Zhou, O Gevaert, Z Tang, D Dong, Z Liu, J Tian 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 130 | 2017 |
| A radiogenomic dataset of non-small cell lung cancer S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... Scientific data 5 (1), 1-9, 2018 | 245 | 2018 |
| A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets P Mukherjee, M Zhou, E Lee, A Schicht, Y Balagurunathan, S Napel, ... Nature machine intelligence 2 (5), 274-282, 2020 | 82 | 2020 |
| A texture feature ranking model for predicting survival time of brain tumor patients M Zhou, LO Hall, DB Goldgof, RA Gatenby, RJ Gillies 2013 IEEE International Conference on Systems, Man, and Cybernetics, 4533-4538, 2013 | 11 | 2013 |
| A Tri-light Warning System for Hospitalized COVID-19 Patients: Credibility-based Risk Stratification under Data Shift C Xu, Q Xu, L Liu, M Zhou, Z Xing, Z Zhou, C Zhou, X Li, R Wang, Y Wu, ... medRxiv, 2022.12. 11.22283309, 2022 | 1 | 2022 |
| Abnormality Detection in Carotid Ultrasounds with Convolutional Networks ES Eyuboglu, G Angus, P Freeman, B Patel, M Zhou, K Shpanskaya, ... | | |
| Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification Y Gao, D Gu, M Zhou, D Metaxas arXiv preprint arXiv:2406.05596, 2024 | 1 | 2024 |
| An adaptive algorithm for license plate orientation and character segmentation B Li, Z Zeng, J Zhou, M Zhou 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial …, 2008 | 8 | 2008 |
| Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphoma F Yan, Q Da, H Yi, S Deng, L Zhu, M Zhou, Y Liu, M Feng, J Wang, ... NPJ Precision Oncology 8 (1), 76, 2024 | | 2024 |
| Automatic quantification and classification of cervical cancer via adaptive nucleus shape modeling HA Phoulady, M Zhou, DB Goldgof, LO Hall, PR Mouton 2016 IEEE International Conference on Image Processing (ICIP), 2658-2662, 2016 | 42 | 2016 |
| Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation S Wang, M Zhou, Z Liu, Z Liu, D Gu, Y Zang, D Dong, O Gevaert, J Tian Medical image analysis 40, 172-183, 2017 | 483 | 2017 |
| Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer D Yu, M Zhou, F Yang, D Dong, O Gevaert, Z Liu, J Shi, J Tian 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 18 | 2017 |
| CT-based radiomic signatures for predicting histopathologic features in head and neck squamous cell carcinoma P Mukherjee, M Cintra, C Huang, M Zhou, S Zhu, AD Colevas, ... Radiology: Imaging Cancer 2 (3), 2020 | 46 | 2020 |
| Data for NSCLC radiogenomics collection S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... The Cancer Imaging Archive 10, K9, 2017 | 75 | 2017 |
| Data-centric foundation models in computational healthcare: A survey Y Zhang, J Gao, Z Tan, L Zhou, K Ding, M Zhou, S Zhang, D Wang arXiv preprint arXiv:2401.02458, 2024 | 16 | 2024 |
| Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI M Zhou, LO Hall, DB Goldgof, R Russo, RJ Gillies, RA Gatenby SPIE Medical Imaging, 94142H-94142H-5, 2015 | 11 | 2015 |
| Deep generative modeling and clustering of single cell Hi-C data Q Liu, W Zeng, W Zhang, S Wang, H Chen, R Jiang, M Zhou, S Zhang Briefings in Bioinformatics 24 (1), bbac494, 2023 | 10 | 2023 |
Olivier GevaertStanford University在 stanford.edu 的电子邮件经过验证
