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Siddhi Ramesh

Showing results (11-20 of 16) with videos related to

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Biorxiv : the Preprint Server for Biology|April 8, 2024
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent FeaturesFrederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Research Square|June 17, 2024
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathologyMark Applebaum, Siddhi Ramesh, Emma Dyer, et al.
Nature Communications|November 3, 2022
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathologyJames M Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, et al.
NPJ Precision Oncology|November 7, 2024
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathologySiddhi Ramesh, Emma Dyer, Monica Pomaville, et al.
NPJ Precision Oncology|May 29, 2023
Deep learning generates synthetic cancer histology for explainability and educationJames M Dolezal, Rachelle Wolk, Hanna M Hieromnimon, et al.
Medrxiv : the Preprint Server for Health Sciences|May 25, 2026
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer RecurrenceNgoc-Kim Nguyen, Anran Li, Sara Kochanny, et al.
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Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Biorxiv : the Preprint Server for Biology|April 8, 2024
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent FeaturesFrederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Research Square|June 17, 2024
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathologyMark Applebaum, Siddhi Ramesh, Emma Dyer, et al.
Nature Communications|November 3, 2022
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathologyJames M Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, et al.
NPJ Precision Oncology|November 7, 2024
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathologySiddhi Ramesh, Emma Dyer, Monica Pomaville, et al.
NPJ Precision Oncology|May 29, 2023
Deep learning generates synthetic cancer histology for explainability and educationJames M Dolezal, Rachelle Wolk, Hanna M Hieromnimon, et al.
Medrxiv : the Preprint Server for Health Sciences|May 25, 2026
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer RecurrenceNgoc-Kim Nguyen, Anran Li, Sara Kochanny, et al.
Pageof 2