| Deep neural network models for computational histopathology: A survey CL Srinidhi, O Ciga, AL Martel Medical image analysis 67, 101813, 2021 | 553 | 2021 |
| Recent advancements in retinal vessel segmentation C L Srinidhi, P Aparna, J Rajan Journal of medical systems 41, 1-22, 2017 | 136 | 2017 |
| Self-supervised driven consistency training for annotation efficient histopathology image analysis CL Srinidhi, SW Kim, FD Chen, AL Martel Medical image analysis 75, 102256, 2022 | 91 | 2022 |
| Automated method for retinal artery/vein separation via graph search metaheuristic approach CL Srinidhi, P Aparna, J Rajan IEEE Transactions on Image Processing 28 (6), 2705-2718, 2019 | 50 | 2019 |
| A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images CL Srinidhi, P Aparna, J Rajan Biomedical Signal Processing and Control 44, 110-126, 2018 | 27 | 2018 |
| Improving self-supervised learning with hardness-aware dynamic curriculum learning: an application to digital pathology CL Srinidhi, AL Martel Proceedings of the IEEE/CVF International Conference on Computer Vision, 562-571, 2021 | 20 | 2021 |
| Consistency driven sequential transformers attention model for partially observable scenes SB Rangrej, CL Srinidhi, JJ Clark Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| A vessel keypoint detector for junction classification CL Srinidhi, P Rath, J Sivaswamy 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 11 | 2017 |
| Pattern Recognition and Machine Learning Framework for Automated Analysis of Retinal Images CL Srinidhi National Institute of Technology Karnataka, Surathkal, 2019 | | 2019 |
Anne MartelMedical Biophysics, University of Toronto. Physical Sciences, Sunnybrook Research Institute在 utoronto.ca 的电子邮件经过验证
