Prasanna, Prateek

16 publications

CVPR 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-Supervised Medical Image Segmentation Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha Kass-Hout

ICCV 2025 GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel Saltz, Dimitris Samaras, Prateek Prasanna

CVPR 2025 TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen

CVPR 2025 ZoomLDM: Latent Diffusion Model for Multi-Scale Image Generation Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel Saltz, Dimitris Samaras

MIDL 2024 GazeDiff: A Radiologist Visual Attention Guided Diffusion Model for Zero-Shot Disease Classification Moinak Bhattacharya, Prateek Prasanna

CVPR 2024 Learned Representation-Guided Diffusion Models for Large-Image Generation Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

WACV 2024 PathLDM: Text Conditioned Latent Diffusion Model for Histopathology Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Dimitris Samaras

CVPR 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

ICCV 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna

NeurIPSW 2023 INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations Lei Zhou, Varun Belagali, Joseph Bae, Prateek Prasanna, Dimitris Samaras

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

NeurIPS 2023 Topology-Aware Uncertainty for Image Segmentation Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

ECCV 2022 Learning Topological Interactions for Multi-Class Medical Image Segmentation Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen

ECCV 2022 RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification Moinak Bhattacharya, Shubham Jain, Prateek Prasanna

CVPR 2022 Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

ECCVW 2020 Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen