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Prateek Prasanna

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SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Dec 22, 2023
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

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Learned representation-guided diffusion models for large-image generation

Dec 12, 2023
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

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Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy

Sep 13, 2023
Yunfan Li, Himanshu Gupta, Haibin Ling, IV Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson

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Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning

Sep 12, 2023
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel Saltz, Dimitris Samaras, Prateek Prasanna

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PathLDM: Text conditioned Latent Diffusion Model for Histopathology

Sep 01, 2023
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Dimitris Samaras

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Learning to Segment from Noisy Annotations: A Spatial Correction Approach

Jul 21, 2023
Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

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SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

Jul 12, 2023
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras

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Topology-Aware Uncertainty for Image Segmentation

Jun 09, 2023
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

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ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis

Apr 03, 2023
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna

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Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Mar 21, 2023
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras

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