| Predicting mechanical ventilation and mortality in COVID-19 using radiomics and deep learning on chest radiographs: a multi-institutional study J Bae*, S Kapse*, G Singh, R Gattu, S Ali, N Shah, C Marshall, J Pierce, ... Diagnostics 11 (10), 1812, 2021 | 39* | 2021 |
| TopoTxR: a topological biomarker for predicting treatment response in breast cancer F Wang, S Kapse, S Liu, P Prasanna, C Chen International Conference on Information Processing in Medical Imaging, 386-397, 2021 | 16 | 2021 |
| Sam-path: A segment anything model for semantic segmentation in digital pathology J Zhang, K Ma, S Kapse, J Saltz, M Vakalopoulou, P Prasanna, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Prompt-mil: Boosting multi-instance learning schemes via task-specific prompt tuning J Zhang, S Kapse, K Ma, P Prasanna, J Saltz, M Vakalopoulou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| Vit-dae: Transformer-driven diffusion autoencoder for histopathology image analysis X Xu, S Kapse, R Gupta, P Prasanna International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network S Kapse, S Das, P Prasanna 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 5* | 2023 |
| Precise location matching improves dense contrastive learning in digital pathology J Zhang*, S Kapse*, K Ma, P Prasanna, M Vakalopoulou, J Saltz, ... International Conference on Information Processing in Medical Imaging, 783-794, 2023 | 4 | 2023 |
| Subtype-specific spatial descriptors of tumor-immune microenvironment are prognostic of survival in lung adenocarcinoma S Kapse, L Torre-Healy, RA Moffitt, R Gupta, P Prasanna 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 2 | 2022 |
| Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning S Kapse, S Das, J Zhang, RR Gupta, J Saltz, D Samaras, P Prasanna Medical Image Analysis 93, 103070, 2024 | 1 | 2024 |
| Learned representation-guided diffusion models for large-image generation A Graikos, S Yellapragada, MQ Le, S Kapse, P Prasanna, J Saltz, ... arXiv preprint arXiv:2312.07330, 2023 | 1 | 2023 |
| CA-fuse-MIL: cross-attention fusion of handcrafted and deep features for whole slide image classification P Goel, S Kapse, P Pati, P Prasanna Medical Imaging 2024: Digital and Computational Pathology 12933, 27-33, 2024 | | 2024 |
| SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology S Kapse*, P Pati*, S Das, J Zhang, C Chen, M Vakalopoulou, J Saltz, ... arXiv preprint arXiv:2312.15010, 2023 | | 2023 |
| Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs YS Saboo, S Kapse, P Prasanna Cureus 15 (8), 2023 | | 2023 |
| Role of stain normalization in computational pathology: use case in metastatic tissue classification P Goel, S Kapse, P Prasanna Medical Imaging 2023: Digital and Computational Pathology 12471, 402-406, 2023 | | 2023 |
| Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study S Kapse, R Gupta, P Prasanna Medical Imaging 2022: Digital and Computational Pathology 12039, 228-233, 2022 | | 2022 |
