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P. Prasanna · SciRah

Researcher profile · Semantic Scholar

P. Prasanna

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P. Prasanna — researcher profile on SciRah

h-index: 34
Works: 228
Citations: 8,414

Most-cited papers

Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation
Lei Zhou, Hui-Dong Liu, Joseph Bae, Jun-Jun He +2 more
2022IEEE International Symposium on Biomedical Imaging171 citations
Semantic Scholar
PathLDM: Text conditioned Latent Diffusion Model for Histopathology
Srikar Yellapragada, Alexandros Graikos, P. Prasanna, T. Kurç +2 more
2023IEEE Workshop/Winter Conference on Applications of Computer Vision81 citations Open access
Semantic Scholar
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta, Yikai Zhang, Xiaoling Hu, P. Prasanna +1 more
2023Neural Information Processing Systems72 citations Open access
Semantic Scholar
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
Jingwei Zhang, Ke Ma, Saarthak Kapse, J. Saltz +3 more
2023ISIC/Care-AI/MedAGI/DeCaF@MICCAI70 citations Open access
Semantic Scholar
Learned representation-guided diffusion models for large-image generation
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse +3 more
2023Computer Vision and Pattern Recognition68 citations Open access
Semantic Scholar
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang +6 more
2023Computer Vision and Pattern Recognition46 citations Open access
Semantic Scholar
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Jiacheng Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami +2 more
2023International Conference on Learning Representations34 citations Open access
Semantic Scholar
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation
Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu +2 more
2023IEEE International Conference on Computer Vision33 citations Open access
Semantic Scholar
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis
Xuan Xu, Saarthak Kapse, Rajarsi R. Gupta, P. Prasanna
2023DGM4MICCAI33 citations Open access
Semantic Scholar
Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning.
David L. Payne, Kush Purohit, Walter Morales Borrero, Katherine Chung +5 more
2024Academic Radiology31 citations
Semantic Scholar
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning
Jingwei Zhang, Saarthak Kapse, Ke Ma, P. Prasanna +3 more
2023International Conference on Medical Image Computing and Computer-Assisted Intervention28 citations Open access
Semantic Scholar
ZoomLDM: Latent Diffusion Model for multi-scale image generation
Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, P. Prasanna +3 more
2024Computer Vision and Pattern Recognition23 citations Open access
Semantic Scholar
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu, Joseph Bae, Chaoyu Chen +1 more
2022Computer Vision and Pattern Recognition22 citations Open access
Semantic Scholar
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer, Zhi-Jian Yang, Erhan Bas, Cao Xiao +3 more
2025Computer Vision and Pattern Recognition21 citations Open access
Semantic Scholar
Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology
Richard M. Levenson, Yashbir Singh, Bastian Rieck, Q. Hathaway +7 more
2024Laboratory investigation; a journal of technical methods and pathology21 citations Open access
Semantic Scholar
PixCell: A generative foundation model for digital histopathology images
Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis +10 more
2025arXiv.org18 citations
Semantic Scholar
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
Mei-Long Xu, Saumya Gupta, Xiaoling Hu, Chen Li +4 more
2024Computer Vision and Pattern Recognition17 citations Open access
Semantic Scholar
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
Fan Wang, Zhilin Zou, N. Sakla, Luke Partyka +7 more
2024Medical Image Anal.15 citations Open access
Semantic Scholar
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta +3 more
2023Medical Image Anal.15 citations Open access
Semantic Scholar
Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification
David L. Payne, Xuan Xu, F. Faraji, Kevin John +4 more
2024American Journal of Neuroradiology13 citations Open access
Semantic Scholar
New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
Gagandeep Singh, Annie Singh, Joseph Bae, Sunil Manjila +3 more
2024Cancer Imaging12 citations Open access
Semantic Scholar
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das +4 more
2025IEEE International Conference on Computer Vision11 citations Open access
Semantic Scholar
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment
Xuan Xu, Saarthak Kapse, P. Prasanna
2024arXiv.org11 citations
Semantic Scholar
Hard Negative Sample Mining for Whole Slide Image Classification
Wen-Tao Huang, Xiaoling Hu, Shahira Abousamra, P. Prasanna +1 more
2024International Conference on Medical Image Computing and Computer-Assisted Intervention10 citations Open access
Semantic Scholar
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy
Yunfan Li, Himanshu Gupta, Hai-Bin Ling, I. Ramakrishnan +3 more
2023IEEE International Conference on Healthcare Informatics10 citations Open access
Semantic Scholar
Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs
Y. S. Saboo, Saarthak Kapse, P. Prasanna
2023Cureus10 citations Open access
Semantic Scholar
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment
Xuan Xu, Saarthak Kapse, P. Prasanna
2025Medical Image Anal.9 citations Open access
Semantic Scholar
GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification
Moinak Bhattacharya, P. Prasanna
2024International Conference on Medical Imaging with Deep Learning9 citations
Semantic Scholar
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models
Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, P. Prasanna
2024arXiv.org9 citations
Semantic Scholar
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
Moinak Bhattacharya, Saumya Gupta, Annie Singh, Chao Chen +2 more
2025arXiv.org7 citations
Semantic Scholar
Token Sparsification for Faster Medical Image Segmentation
Lei Zhou, Hui-Dong Liu, Joseph Bae, Jun-Jun He +2 more
2023Information Processing in Medical Imaging7 citations Open access
Semantic Scholar
Surgical Phase Recognition in Laparoscopic Cholecystectomy
Yun-Fan Li, V. Shenoy, P. Prasanna, I. Ramakrishnan +2 more
2022CENTERIS/ProjMAN/HCist7 citations Open access
Semantic Scholar
Eco-evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma In Situ Upstaging
Yujie Xiao, M. Elmasry, Ji D. Bai, Andrew Chen +6 more
2025Cancer Research6 citations Open access
Semantic Scholar
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning
Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das +11 more
20252026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)5 citations
Semantic Scholar
Comparing efficiency of an attention-based deep learning network with contemporary radiological workflow for pulmonary embolism detection on CTPA: A retrospective study
Gagandeep Singh, Annie Singh, Tejasvi Kainth, Sudhir Suman +4 more
2025European Journal of Radiology Open5 citations Open access
Semantic Scholar
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse +6 more
2024arXiv.org5 citations
Semantic Scholar
Author Correction: Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, U. Baid, Brandon Edwards, Micah J. Sheller +275 more
2023Nature Communications5 citations Open access
Semantic Scholar
Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.
Annie Singh, Fatima Ahmad Qureshy, Angelica P. Kurtz, Moinak Bhattacharya +2 more
2026Radiology: Imaging Cancer4 citations Open access
Semantic Scholar
From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology
Xuan-Jun Lu, Y.J. Ying, Jing Chen, Zhiyang Chen +6 more
2025Brain‐X4 citations Open access
Semantic Scholar
Spatial Radiomic Graphs for Outcome Prediction in Radiation Therapy-treated Head and Neck Squamous Cell Carcinoma Using Pretreatment CT.
Joseph Bae, K. Mani, Lukasz Czerwonka, Christopher Vanison +2 more
2025Radiology: Imaging Cancer4 citations Open access
Semantic Scholar
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
Joseph Bae, Saarthak Kapse, Lei Zhou, K. Mani +1 more
2024International Conference on Medical Image Computing and Computer-Assisted Intervention4 citations
Semantic Scholar
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
Wen-Tao Huang, Mei-Long Xu, Xiaoling Hu, Shahira Abousamra +8 more
2024IEEE Transactions on Medical Imaging4 citations
Semantic Scholar
ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer
Moinak Bhattacharya, Judy Huang, A. Sher, Gagandeep Singh +2 more
2025arXiv.org3 citations
Semantic Scholar
Pathology Image Compression with Pre-trained Autoencoders
Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li +5 more
2025International Conference on Medical Image Computing and Computer-Assisted Intervention3 citations
Semantic Scholar
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
Sejuti Majumder, Saarthak Kapse, Moinak Bhattacharya, Xuan Xu +2 more
2025IEEE Workshop/Winter Conference on Applications of Computer Vision3 citations
Semantic Scholar
Deep learning and radiomics-based vascular calcification characterization in dental cone beam computed tomography as a predictive tool for cardiovascular disease: A proof-of-concept study.
Mina Mahdian, Amr Ahmed, Moinak Bhattacharya, P. Prasanna
2024Oral surgery, oral medicine, oral pathology and oral radiology3 citations
Semantic Scholar
Critical View of Safety Assessment in Laparoscopic Cholecystectomy via Segment Anything Model
Yunfan Li, Hai-Bin Ling, I. Ramakrishnan, P. Prasanna +2 more
2024Annual International Conference of the IEEE Engineering in Medicine and Biology Society3 citations
Semantic Scholar
Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology
Paras Goel, Saarthak Kapse, Pushpak Pati, P. Prasanna
2024IEEE International Symposium on Biomedical Imaging3 citations
Semantic Scholar
Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer
Jennifer Salguero, P. Prasanna, Germán Corredor, Angel Cruz-Roa +2 more
2024Expert systems with applications3 citations Open access
Semantic Scholar
Role of stain normalization in computational pathology: use case in metastatic tissue classification
Paras Goel, Saarthak Kapse, P. Prasanna
2023Medical Imaging3 citations
Semantic Scholar

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