| Radnet: Radiologist level accuracy using deep learning for hemorrhage detection in ct scans M Grewal, MM Srivastava, P Kumar, S Varadarajan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 257 | 2018 |
| Boosted cascaded convnets for multilabel classification of thoracic diseases in chest radiographs P Kumar, M Grewal, MM Srivastava Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 136 | 2018 |
| U-segnet: fully convolutional neural network based automated brain tissue segmentation tool P Kumar, P Nagar, C Arora, A Gupta 2018 25th IEEE International conference on image processing (ICIP), 3503-3507, 2018 | 111 | 2018 |
| A big data analysis framework using apache spark and deep learning A Gupta, HK Thakur, R Shrivastava, P Kumar, S Nag 2017 IEEE international conference on data mining workshops (ICDMW), 9-16, 2017 | 72 | 2017 |
| Deep multimodal learning for the diagnosis of autism spectrum disorder M Tang, P Kumar, H Chen, A Shrivastava Journal of Imaging 6 (6), 47, 2020 | 42 | 2020 |
| LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer S Mourya, S Kant, P Kumar, A Gupta, R Gupta arXiv preprint arXiv:1810.07961, 2018 | 20 | 2018 |
| Prototypical metric transfer learning for continuous speech keyword spotting with limited training data H Seth, P Kumar, MM Srivastava 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 7 | 2020 |
| Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions N Padmanabhan, M Gwilliam, P Kumar, SR Maiya, M Ehrlich, ... arXiv preprint arXiv:2401.10217, 2024 | | 2024 |
