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Siddhi Ramesh

Showing results (1-10 of 16) with videos related to

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Journal of General Internal Medicine|January 28, 2021
Examining the Inclusivity of US Trials of COVID-19 TreatmentSukarn Chokkara, Anna Volerman, Siddhi Ramesh, et al.
Surgical Pathology Clinics|February 4, 2023
Applications of Deep Learning in Endocrine NeoplasmsSiddhi Ramesh, James M Dolezal, Alexander T Pearson
Nature Cancer|May 17, 2024
Quantum computing for oncologySiddhi Ramesh, Teague Tomesh, Samantha J Riesenfeld, et al.
JCO Clinical Cancer Informatics|December 15, 2021
Applications of Artificial Intelligence in Pediatric Oncology: A Systematic ReviewSiddhi Ramesh, Sukarn Chokkara, Timothy Shen, et al.
NPJ Digital Medicine|April 26, 2023
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewersCatherine A Gao, Frederick M Howard, Nikolay S Markov, et al.
JCO Clinical Cancer Informatics|December 9, 2021
Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk GroupAnoop Mayampurath, Siddhi Ramesh, Diana Michael, et al.
BMC Bioinformatics|March 28, 2024
Slideflow: deep learning for digital histopathology with real-time whole-slide visualizationJames M Dolezal, Sara Kochanny, Emma Dyer, et al.
Ebiomedicine|August 28, 2024
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningDivya Choudhury, James M Dolezal, Emma Dyer, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Science Advances|November 15, 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.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of General Internal Medicine|January 28, 2021
Examining the Inclusivity of US Trials of COVID-19 TreatmentSukarn Chokkara, Anna Volerman, Siddhi Ramesh, et al.
Surgical Pathology Clinics|February 4, 2023
Applications of Deep Learning in Endocrine NeoplasmsSiddhi Ramesh, James M Dolezal, Alexander T Pearson
Nature Cancer|May 17, 2024
Quantum computing for oncologySiddhi Ramesh, Teague Tomesh, Samantha J Riesenfeld, et al.
JCO Clinical Cancer Informatics|December 15, 2021
Applications of Artificial Intelligence in Pediatric Oncology: A Systematic ReviewSiddhi Ramesh, Sukarn Chokkara, Timothy Shen, et al.
NPJ Digital Medicine|April 26, 2023
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewersCatherine A Gao, Frederick M Howard, Nikolay S Markov, et al.
JCO Clinical Cancer Informatics|December 9, 2021
Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk GroupAnoop Mayampurath, Siddhi Ramesh, Diana Michael, et al.
BMC Bioinformatics|March 28, 2024
Slideflow: deep learning for digital histopathology with real-time whole-slide visualizationJames M Dolezal, Sara Kochanny, Emma Dyer, et al.
Ebiomedicine|August 28, 2024
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningDivya Choudhury, James M Dolezal, Emma Dyer, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Science Advances|November 15, 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.
Pageof 2