| Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology SA Javed, D Juyal, H Padigela, A Taylor-Weiner, L Yu, A Prakash Neurips 2022, 2022 | 50* | 2022 |
| Learning Unsupervised Visual Grounding Through Semantic Self-Supervision SA Javed, S Saxena, V Gandhi IJCAI 2019; NeurIPS Workshop 2018, 2018 | 27 | 2018 |
| MergeNet: A Deep Net Architecture for Small Obstacle Discovery K Gupta, SA Javed, V Gandhi, KM Krishna ICRA 2018, 2018 | 27 | 2018 |
| Towards low-cost and efficient malaria detection W Sultani, W Nawaz, S Javed, MS Danish, A Saadia, M Ali 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 19 | 2022 |
| Embodied language grounding with 3d visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki CVPR 2020, 2020 | 16 | 2020 |
| Rethinking Machine Learning Model Evaluation in Pathology SA Javed, D Juyal, Z Shanis, S Chakraborty, H Pokkalla, A Prakash ICLR Workshop 2022, 2022 | 14 | 2022 |
| Object-Level Context Modeling For Scene Classification with Context-CNN SA Javed, AK Nelakanti CVPR Workshop 2017, 2017 | 11 | 2017 |
| Embodied language grounding with implicit 3D visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki CVPR 2020, 2019 | 10 | 2019 |
| Machine learning models to quantify HER2 for real-time tissue image analysis in prospective clinical trials. B Glass, ME Vandenberghe, ST Chavali, SA Javed, M Rebelatto, ... Journal of Clinical Oncology 39 (15_suppl), 3061-3061, 2021 | 5 | 2021 |
| Spatially-resolved prediction of gene expression signatures in H&E whole slide images using additive multiple instance learning models M Markey, J Kim, Z Goldstein, Y Gerardin, J Brosnan-Cashman, SA Javed, ... Molecular Cancer Therapeutics 22 (12_Supplement), B010-B010, 2023 | 4* | 2023 |
| Cinefilter: Unsupervised filtering for real time autonomous camera systems S Achary, KL Moorthy, SA Javed, N Shravan, V Gandhi, A Namboodiri arXiv preprint arXiv:1912.05636, 2019 | 4 | 2019 |
| PLUTO: Pathology-Universal Transformer D Juyal, H Padigela, C Shah, D Shenker, N Harguindeguy, Y Liu, B Martin, ... ICML Workshop 2024, 2024 | 3 | 2024 |
| Role of physiological precursor and Rhizobium-wheat associations in field conditions. MA Qureshi, F Mujeeb, MA Ali, MA Anjum, N Akhtar, S Javed, MA Shakir JAPS: Journal of Animal & Plant Sciences 27 (3), 2017 | 3 | 2017 |
| Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types J Abel, S Jain, D Rajan, H Padigela, K Leidal, A Prakash, J Conway, ... bioRxiv, 2023 | 2 | 2023 |
| Digital Pathology Uncovers Multi-Omic Hallmarks of Lung Cancer in Histopathology Images M Guramare, SA Javed, N Agrawal, M Griffin, J Abel, M Montalto, AH Beck, ... Journal of Thoracic Oncology 17 (9), S158, 2022 | 2 | 2022 |
| AIM PD-L1-NSCLC: Artificial intelligence-powered PD-L1 quantification for accurate prediction of tumor proportion score in diverse, multi-stain clinical tissue samples M Griffin, M Gemici, A Javed, N Agrawal, M Resnick, L Yu, S Hoffman, ... Cancer Research 82 (12_Supplement), 471-471, 2022 | 2 | 2022 |
| Reinforce vs reparameterization trick SA Javed URL: http://stillbreeze. github. io/REINFORCE-vs-Reparameterization-trick, 2018 | 2 | 2018 |
| AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis J Abel, S Jain, D Rajan, H Padigela, K Leidal, A Prakash, J Conway, ... npj Precision Oncology 8 (1), 134, 2024 | 1 | 2024 |
| Foundation AI models predict molecular measurements of tumor purity Y Gerardin, D Shenker, J Hipp, N Harguindeguy, D Juyal, C Shah, ... Cancer Research 84 (6_Supplement), 7402-7402, 2024 | 1 | 2024 |
| SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology D Juyal, S Shingi, SA Javed, H Padigela, C Shah, A Sampat, A Khosla, ... WACV 2024, 2023 | 1 | 2023 |
Dinkar JuyalMachine Learning @ PathAI在 pathai.com 的电子邮件经过验证
