| Self-path: Self-supervision for classification of pathology images with limited annotations NA Koohbanani, B Unnikrishnan, SA Khurram, P Krishnaswamy, ... IEEE Transactions on Medical Imaging 40 (10), 2845-2856, 2021 | 102 | 2021 |
| Deep learning models for tuberculosis detection from chest X-ray images QH Nguyen, BP Nguyen, SD Dao, B Unnikrishnan, R Dhingra, ... 2019 26th international conference on telecommunications (ICT), 381-385, 2019 | 45 | 2019 |
| Semi-supervised deep learning for abnormality classification in retinal images B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ... arXiv preprint arXiv:1812.07832, 2018 | 34 | 2018 |
| Towards practical unsupervised anomaly detection on retinal images K Ouardini, H Yang, B Unnikrishnan, M Romain, C Garcin, H Zenati, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 29 | 2019 |
| Semi-supervised classification of diagnostic radiographs with noteacher: a teacher that is not mean B Unnikrishnan, CM Nguyen, S Balaram, CS Foo, P Krishnaswamy Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 16 | 2020 |
| CaRENets: Compact and resource-efficient CNN for homomorphic inference on encrypted medical images J Chao, AA Badawi, B Unnikrishnan, J Lin, CF Mun, JM Brown, ... arXiv preprint arXiv:1901.10074, 2019 | 15 | 2019 |
| CareNets: Efficient Homomorphic CNN for High Resolution Images C Jin, AA Badawi, B Unnikrishnan, J Lin, CF Mun, JM Brown, ... Privacy in Machine Learning, NeurIPS 2019 Workshop, 2019 | 6 | 2019 |
| Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean B Unnikrishnan, C Nguyen, S Balaram, C Li, CS Foo, P Krishnaswamy Medical Image Analysis 73, 2021 | 2 | 2021 |
| Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments B Unnikrishnan, PR Singh, X Yang, MCH Chua arXiv preprint arXiv:2006.02610, 2020 | 2 | 2020 |
| et almbox. 2019. CaRENets: compact and resource-efficient CNN for homomorphic inference on encrypted medical images J Chao, A Al Badawi, B Unnikrishnan, J Lin, CF Mun, JM Brown, ... arXiv preprint arXiv:1901.10074, 2019 | 2 | 2019 |
| Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations N Alemi Koohbanani, B Unnikrishnan, SA Khurram, P Krishnaswamy, ... arXiv e-prints, arXiv: 2008.05571, 2020 | 1 | 2020 |
| Learning of multi-dimensional analog circuits through generative adversarial network (GAN) R Dutta, S Raju, A James, CJ Leo, YJ Jeon, B Unnikrishnan, CS Foo, ... 2019 32nd IEEE International System-on-Chip Conference (SOCC), 394-399, 2019 | 1 | 2019 |
| Diverse and consistent multi-view networks for semi-supervised regression C Nguyen, A Raja, L Zhang, X Xu, B Unnikrishnan, M Ragab, K Lu, ... Machine Learning, 1-37, 2023 | | 2023 |
| Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN) R Salahuddin, R Dutta, A James, C John Leo, YJ Jeon, B Unnikrishnan, ... | | 2019 |
| Semi Supervised Learning of Multi-Dimensional Analog Circuits R Dutta, S Raju, A James, B Lecouat, C John Leo, YJ Jeon, ... | | 2019 |
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI ResearchVerified email at cs.stanford.edu
