| Breast cancer histopathological image classification: is magnification important? V Gupta, A Bhavsar Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 143 | 2017 |
| Detecting deepfakes with metric learning A Kumar, A Bhavsar, R Verma 2020 8th international workshop on biometrics and forensics (IWBF), 1-6, 2020 | 93 | 2020 |
| Sequential modeling of deep features for breast cancer histopathological image classification V Gupta, A Bhavsar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 80 | 2018 |
| Resolution enhancement of pmd range maps AN Rajagopalan, A Bhavsar, F Wallhoff, G Rigoll Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 …, 2008 | 68 | 2008 |
| Resolution enhancement in multi-image stereo AV Bhavsar, AN Rajagopalan IEEE transactions on pattern analysis and machine intelligence 32 (9), 1721-1728, 2010 | 58 | 2010 |
| Range map superresolution-inpainting, and reconstruction from sparse data AV Bhavsar, AN Rajagopalan Computer Vision and Image Understanding 116 (4), 572-591, 2012 | 44 | 2012 |
| Considerations for a PAP smear image analysis system with CNN features S Gautam, N Jith, AK Sao, A Bhavsar, A Natarajan arXiv preprint arXiv:1806.09025, 2018 | 41 | 2018 |
| CNN based segmentation of nuclei in PAP-smear images with selective pre-processing S Gautam, A Bhavsar, AK Sao, KK Harinarayan Medical Imaging 2018: Digital Pathology 10581, 246-254, 2018 | 41 | 2018 |
| Noise adaptive super-resolution from single image via non-local mean and sparse representation S Mandal, A Bhavsar, AK Sao Signal Processing 132, 134-149, 2017 | 41 | 2017 |
| Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach PK Jain, S Gupta, A Bhavsar, A Nigam, N Sharma Medical & Biological Engineering & Computing 58, 471-482, 2020 | 35 | 2020 |
| Depth map restoration from undersampled data S Mandal, A Bhavsar, AK Sao IEEE Transactions on Image Processing 26 (1), 119-134, 2016 | 34 | 2016 |
| DeepCerv: Deep neural network for segmentation free robust cervical cell classification OU Nirmal Jith, KK Harinarayanan, S Gautam, A Bhavsar, AK Sao Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 33 | 2018 |
| Hierarchical X-ray report generation via pathology tags and multi head attention P Srinivasan, D Thapar, A Bhavsar, A Nigam Proceedings of the Asian Conference on Computer Vision, 2020 | 26 | 2020 |
| Detecting mitotic cells in HEp-2 images as anomalies via one class classifier K Gupta, A Bhavsar, AK Sao Computers in biology and medicine 111, 103328, 2019 | 24 | 2019 |
| Partially-independent framework for breast cancer histopathological image classification V Gupta, A Bhavsar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 24 | 2019 |
| An integrated multi-scale model for breast cancer histopathological image classification with joint colour-texture features V Gupta, A Bhavsar Computer Analysis of Images and Patterns: 17th International Conference …, 2017 | 24 | 2017 |
| NeuroGAN: image reconstruction from EEG signals via an attention-based GAN R Mishra, K Sharma, RR Jha, A Bhavsar Neural Computing and Applications 35 (12), 9181-9192, 2023 | 22 | 2023 |
| Automated classification for breast cancer histopathology images: Is stain normalization important? V Gupta, A Singh, K Sharma, A Bhavsar Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures …, 2017 | 20 | 2017 |
| Resolution enhancement for binocular stereo AV Bhavsar, AN Rajagopalan 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 19 | 2008 |
| Facial expression recognition using neural classifier and fuzzy mapping A Bhavsar, HM Patel IEEE INDICON 2005, 2005 | 19 | 2005 |
A N RajagopalanIndian Institute of Technology MadrasVerified email at ee.iitm.ac.in
