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Saarthak Kapse

Showing results (1-10 of 8) with videos related to

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Medical Image Analysis|September 30, 2025
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessmentXuan Xu, Saarthak Kapse, Prateek Prasanna
Cureus|September 27, 2023
Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest RadiographsYash S Saboo, Saarthak Kapse, Prateek Prasanna
Medical Image Analysis|January 4, 2024
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learningSaarthak Kapse, Srijan Das, Jingwei Zhang, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 28, 2024
Learned representation-guided diffusion models for large-image generationAlexandros Graikos, Srikar Yellapragada, Minh-Quan Le, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 28, 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel HistopathologySaarthak Kapse, Pushpak Pati, Srijan Das, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional StudyJoseph Bae, Saarthak Kapse, Gagandeep Singh, et al.
Arxiv|July 24, 2020
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional StudyJoseph Bae, Saarthak Kapse, Gagandeep Singh, et al.
Arxiv|June 12, 2025
PixCell: A generative foundation model for digital histopathology imagesSrikar Yellapragada, Alexandros Graikos, Zilinghan Li, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|September 30, 2025
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessmentXuan Xu, Saarthak Kapse, Prateek Prasanna
Cureus|September 27, 2023
Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest RadiographsYash S Saboo, Saarthak Kapse, Prateek Prasanna
Medical Image Analysis|January 4, 2024
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learningSaarthak Kapse, Srijan Das, Jingwei Zhang, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 28, 2024
Learned representation-guided diffusion models for large-image generationAlexandros Graikos, Srikar Yellapragada, Minh-Quan Le, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 28, 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel HistopathologySaarthak Kapse, Pushpak Pati, Srijan Das, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional StudyJoseph Bae, Saarthak Kapse, Gagandeep Singh, et al.
Arxiv|July 24, 2020
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional StudyJoseph Bae, Saarthak Kapse, Gagandeep Singh, et al.
Arxiv|June 12, 2025
PixCell: A generative foundation model for digital histopathology imagesSrikar Yellapragada, Alexandros Graikos, Zilinghan Li, et al.
Pageof 1