| 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 | 45* | 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 | 35 | 2023 |
| 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 | 27 | 2021 |
| Learned representation-guided diffusion models for large-image generation A Graikos, S Yellapragada, MQ Le, S Kapse, P Prasanna, J Saltz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 20 | 2024 |
| 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 | 19 | 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 | 18 | 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 | 9 | 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 | 9* | 2023 |
| 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 | 8 | 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, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| 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 | 5 | 2022 |
| Convolutional neural networks (cnns) for pneumonia classification on pediatric chest radiographs YS Saboo, S Kapse, P Prasanna Cureus 15 (8), 2023 | 3 | 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 | 2 | 2023 |
| Gen-sis: Generative self-augmentation improves self-supervised learning V Belagali, S Yellapragada, A Graikos, S Kapse, Z Li, TN Nandi, ... arXiv preprint arXiv:2412.01672, 2024 | 1 | 2024 |
| Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing S Kapse, R Betz, S Sivanandan arXiv preprint arXiv:2502.00594, 2025 | | 2025 |
| RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency W Huang, M Xu, X Hu, S Abousamra, A Ganguly, S Kapse, A Yurovsky, ... arXiv preprint arXiv:2411.15076, 2024 | | 2024 |
| HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images J Bae, S Kapse, L Zhou, K Mani, P Prasanna International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment X Xu, S Kapse, P Prasanna arXiv preprint arXiv:2408.15218, 2024 | | 2024 |
| Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology P Goel, S Kapse, P Pati, P Prasanna 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| 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 |
