Publications by authors named "Siddhi Ramesh"

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Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology.
Siddhi Ramesh, Emma Dyer, Monica Pomaville, Kristina Doytcheva, James Dolezal

NPJ Precis Oncol· November 2024

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Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, James Dolezal, Sara Kochanny

Sci Adv· November 2024

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Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning.
Divya Choudhury, James M Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh

EBioMedicine· September 2024

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Quantum computing for oncology.
Siddhi Ramesh, Teague Tomesh, Samantha J Riesenfeld, Frederic T Chong, Alexander T Pearson

Nat Cancer· June 2024

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Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology.
Mark Applebaum, Siddhi Ramesh, Emma Dyer, Monica Pomaville, Kristina Doytcheva

Res Sq· June 2024

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Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.
James M Dolezal, Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn

BMC Bioinformatics· March 2024

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Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features.
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, James Dolezal, Sara Kochanny

bioRxiv· March 2024

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Deep learning generates synthetic cancer histology for explainability and education.
James M Dolezal, Rachelle Wolk, Hanna M Hieromnimon, Frederick M Howard, Andrew Srisuwananukorn, Siddhi Ramesh

NPJ Precis Oncol· May 2023

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Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers.
Catherine A Gao, Frederick M Howard, Nikolay S Markov, Emma C Dyer, Siddhi Ramesh

NPJ Digit Med· April 2023

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Applications of Deep Learning in Endocrine Neoplasms.
Siddhi Ramesh, James M Dolezal, Alexander T Pearson

Surg Pathol Clin· March 2023

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Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.
Oliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P Seraphin, Siddhi Ramesh

NPJ Precis Oncol· March 2023

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Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.
James M Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny

Nat Commun· November 2022

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Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group.
Anoop Mayampurath, Siddhi Ramesh, Diana Michael, Liu Liu, Nicholas Feinberg

JCO Clin Cancer Inform· December 2021

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Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.
Siddhi Ramesh, Sukarn Chokkara, Timothy Shen, Ajay Major, Samuel L Volchenboum

JCO Clin Cancer Inform· December 2021

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Examining the Inclusivity of US Trials of COVID-19 Treatment.
Sukarn Chokkara, Anna Volerman, Siddhi Ramesh, Neda Laiteerapong

J Gen Intern Med· May 2021

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