| Interpreting cnn knowledge via an explanatory graph Q Zhang, R Cao, F Shi, YN Wu, SC Zhu Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 255 | 2018 |
| Joint prostate cancer detection and gleason score prediction in mp-MRI via FocalNet R Cao, AM Bajgiran, SA Mirak, S Shakeri, X Zhong, D Enzmann, ... IEEE transactions on medical imaging 38 (11), 2496-2506, 2019 | 171 | 2019 |
| Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. Q Zhang, R Cao, YN Wu, SC Zhu AAAI, 2898-2906, 2017 | 79 | 2017 |
| Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI X Zhong, R Cao, S Shakeri, F Scalzo, Y Lee, DR Enzmann, HH Wu, ... Abdominal Radiology 44 (6), 2030-2039, 2019 | 74 | 2019 |
| Extraction of an Explanatory Graph to Interpret a CNN Q Zhang, X Wang, R Cao, YN Wu, F Shi, SC Zhu IEEE transactions on pattern analysis and machine intelligence 43 (11), 3863 …, 2020 | 36* | 2020 |
| Mining Object Parts from CNNs via Active Question-Answering Q Zhang, R Cao, YN Wu, SC Zhu The IEEE Conference on Computer Vision and Pattern Recognition (CVPR),, 2017 | 29 | 2017 |
| Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3T Multiparametric Magnetic Resonance Imaging R Cao, X Zhong, S Afshari, E Felker, V Suvannarerg, T Tubtawee, ... Journal of Magnetic Resonance Imaging 54 (2), 474-483, 2021 | 23 | 2021 |
| Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field R Cao, X Zhong, S Shakeri, AM Bajgiran, SA Mirak, D Enzmann, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 23 | 2019 |
| Interactively Transferring CNN Patterns for Part Localization Q Zhang, R Cao, S Zhang, M Redmonds, YN Wu, SC Zhu arXiv preprint arXiv:1708.01783, 2017 | 21 | 2017 |
| Mining interpretable AOG representations from convolutional networks via active question answering Q Zhang, J Ren, G Huang, R Cao, YN Wu, SC Zhu IEEE transactions on pattern analysis and machine intelligence 43 (11), 3949 …, 2020 | 15 | 2020 |
| Dynamic Structured Illumination Microscopy with a Neural Space-time Model R Cao, FL Liu, LH Yeh, L Waller IEEE International Conference on Computational Photography (ICCP), 2022 | 12 | 2022 |
| Self-calibrated 3D differential phase contrast microscopy with optimized illumination R Cao, M Kellman, D Ren, R Eckert, L Waller Biomedical Optics Express 13 (3), 1671-1684, 2022 | 11 | 2022 |
| Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI R Cao, X Zhong, F Scalzo, S Raman, K Sung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| SPIE BIOS R Cao, FL Liu, LH Yeh, G Meng, L Waller, T Komatsuzaki, GGK Yip, ... SPIE, 2017 | 2* | 2017 |
| Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras R Cao, D Galor, A Kohli, JL Yates, L Waller arXiv preprint arXiv:2404.01298, 2024 | | 2024 |
| Neural space-time model for dynamic scene recovery in multi-shot computational imaging systems R Cao, NS Divekar, J Nuñez, S Upadhyayula, L Waller bioRxiv, 2024.01. 16.575950, 2024 | | 2024 |
| Speckle Structured Illumination of Dynamic Samples with a Neural Space-time Model R Cao, G Meng, L Waller Computational Optical Sensing and Imaging, CW4D. 2, 2023 | | 2023 |
| Speckle flow structured illumination microscopy for dynamic super-resolution imaging R Cao, FL Liu, LH Yeh, G Meng, L Waller High-Speed Biomedical Imaging and Spectroscopy VIII 12390, 1239002, 2023 | | 2023 |
| Space-Time DiffuserCam Video Reconstruction using Implicit Neural Representations T Chien, R Cao, FL Liu, L Waller 3D Image Acquisition and Display: Technology, Perception and Applications …, 2022 | | 2022 |
| Systems, methods and media for automatically segmenting and diagnosing prostate lesions using multi-parametric magnetic resonance imaging data KH Sung, R Cao US Patent 11,340,324, 2022 | | 2022 |
Quanshi ZhangShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
