Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
Gao, Catherine A., Howard, Frederick M., Markov, Nikolay S., Dyer, Emma C., Ramesh, Siddhi, Luo, Yuan, Pearson, Alexander T.
Published in NPJ digital medicine (26.04.2023)
Published in NPJ digital medicine (26.04.2023)
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Journal Article
Examining the Inclusivity of US Trials of COVID-19 Treatment
Chokkara, Sukarn, Volerman, Anna, Ramesh, Siddhi, Laiteerapong, Neda
Published in Journal of general internal medicine : JGIM (01.05.2021)
Published in Journal of general internal medicine : JGIM (01.05.2021)
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Journal Article
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology
Dolezal, James M., Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Cody, Brittany, Mansfield, Aaron S., Rakshit, Sagar, Bansal, Radhika, Bois, Melanie C., Bungum, Aaron O., Schulte, Jefree J., Vokes, Everett E., Garassino, Marina Chiara, Husain, Aliya N., Pearson, Alexander T.
Published in Nature communications (02.11.2022)
Published in Nature communications (02.11.2022)
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Journal Article
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Dolezal, James M, Kochanny, Sara, Dyer, Emma, Ramesh, Siddhi, Srisuwananukorn, Andrew, Sacco, Matteo, Howard, Frederick M, Li, Anran, Mohan, Prajval, Pearson, Alexander T
Published in BMC bioinformatics (27.03.2024)
Published in BMC bioinformatics (27.03.2024)
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Journal Article
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Saldanha, Oliver Lester, Loeffler, Chiara M. L., Niehues, Jan Moritz, van Treeck, Marko, Seraphin, Tobias P., Hewitt, Katherine Jane, Cifci, Didem, Veldhuizen, Gregory Patrick, Ramesh, Siddhi, Pearson, Alexander T., Kather, Jakob Nikolas
Published in NPJ precision oncology (28.03.2023)
Published in NPJ precision oncology (28.03.2023)
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Journal Article
Deep learning generates synthetic cancer histology for explainability and education
Dolezal, James M., Wolk, Rachelle, Hieromnimon, Hanna M., Howard, Frederick M., Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Kwon, Jung Woo, Agni, Meghana, Simon, Richard C., Desai, Chandni, Kherallah, Raghad, Nguyen, Tung D., Schulte, Jefree J., Cole, Kimberly, Khramtsova, Galina, Garassino, Marina Chiara, Husain, Aliya N., Li, Huihua, Grossman, Robert, Cipriani, Nicole A., Pearson, Alexander T.
Published in NPJ precision oncology (29.05.2023)
Published in NPJ precision oncology (29.05.2023)
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Journal Article
Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers
Gao, Catherine A, Howard, Frederick M, Markov, Nikolay S, Dyer, Emma C, Ramesh, Siddhi, Luo, Yuan, Pearson, Alexander T
Published in bioRxiv (27.12.2022)
Published in bioRxiv (27.12.2022)
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Paper
Predicting response to chemotherapy in neuroblastoma using deep learning: A report from the International Neuroblastoma Risk Group
Ramesh, Siddhi, Michael, Diana, Liu, Liu, Feinberg, Nicholas, Granger, Meaghan, Naranjo, Arlene, Cohn, Susan Lerner, Volchenboum, Samuel Louis, Mayampurath, Anoop, Applebaum, Mark A.
Published in Journal of clinical oncology (20.05.2021)
Published in Journal of clinical oncology (20.05.2021)
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Journal Article
SPECIAL REPORT: Environmental Infection Risks for Outdoor Athletes
Ramesh, Siddhi, Jariwala, Sunit P., Hewitt, David A.
Published in Journal of environmental health (01.10.2020)
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Published in Journal of environmental health (01.10.2020)
Journal Article
Applications of Deep Learning in Endocrine Neoplasms
Ramesh, Siddhi, Dolezal, James M, Pearson, Alexander T
Published in Surgical pathology clinics (01.03.2023)
Published in Surgical pathology clinics (01.03.2023)
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Journal Article
Quantum computing for oncology
Ramesh, Siddhi, Tomesh, Teague, Riesenfeld, Samantha J, Chong, Frederic T, Pearson, Alexander T
Published in Nature cancer (01.06.2024)
Published in Nature cancer (01.06.2024)
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Journal Article
Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review
Ramesh, Siddhi, Chokkara, Sukarn, Shen, Timothy, Major, Ajay, Volchenboum, Samuel L, Mayampurath, Anoop, Applebaum, Mark A
Published in JCO clinical cancer informatics (01.12.2021)
Published in JCO clinical cancer informatics (01.12.2021)
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Journal Article
Environmental Infection Risks for Outdoor Athletes
Ramesh, Siddhi, Jariwala, Sunit P, Hewitt, David A
Published in Journal of environmental health (01.10.2020)
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Published in Journal of environmental health (01.10.2020)
Journal Article
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningResearch in context
Divya Choudhury, James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard, Jayson R. Margalus, Amelia Schroeder, Jefree Schulte, Marina C. Garassino, Jakob N. Kather, Alexander T. Pearson
Published in EBioMedicine (01.09.2024)
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Published in EBioMedicine (01.09.2024)
Journal Article
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning
Choudhury, Divya, Dolezal, James M., Dyer, Emma, Kochanny, Sara, Ramesh, Siddhi, Howard, Frederick M., Margalus, Jayson R., Schroeder, Amelia, Schulte, Jefree, Garassino, Marina C., Kather, Jakob N., Pearson, Alexander T.
Published in EBioMedicine (01.09.2024)
Published in EBioMedicine (01.09.2024)
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Journal Article
Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group
Mayampurath, Anoop, Ramesh, Siddhi, Michael, Diana, Liu, Liu, Feinberg, Nicholas, Granger, Meaghan, Naranjo, Arlene, Cohn, Susan L, Volchenboum, Samuel L, Applebaum, Mark A
Published in JCO clinical cancer informatics (01.12.2021)
Published in JCO clinical cancer informatics (01.12.2021)
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Journal Article
Artificial intelligence-based cancer progression prediction of oral premalignant lesions via self-supervised deep learning on histopathology
Ramesh, Siddhi, Dolezal, James M, Kochanny, Sara, Lanzel, Emily, Chang, Yih-Leong, Wu, Chen-Tu, Jan, Chia-Ing, Chen, Tseng-Cheng, Hua, Chun-Hung, Kang, Chung-Jan, Chien, Chih-Yen, Tsai, Ming-Hsui, Wang, Cheng-Ping, Agrawal, Nishant, Izumchenko, Evgeny, Yu, Kelly, Hellstein, John, Lingen, Mark W., Chaturvedi, Anil, Pearson, Alexander T.
Published in JCO global oncology (01.08.2023)
Published in JCO global oncology (01.08.2023)
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Journal Article
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology
Applebaum, Mark, Ramesh, Siddhi, Dyer, Emma, Pomaville, Monica, Doytcheva, Kristina, Dolezal, James, Kochanny, Sara, Terhaar, Rachel, Mehrhoff, Casey, Patel, Kritika, Brewer, Jacob, Kusswurm, Benjamin, Naranjo, Arlene, Shimada, Hiroyuki, Sokol, Elizabeth, Cohn, Susan, George, Rani, Pearson, Alexander
Published in Research square (04.06.2024)
Published in Research square (04.06.2024)
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Journal Article
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features
Howard, Frederick M, Hieromnimon, Hanna M, Ramesh, Siddhi, Dolezal, James, Kochanny, Sara, Zhang, Qianchen, Feiger, Brad, Peterson, Joseph, Fan, Cheng, Perou, Charles M, Vickery, Jasmine, Sullivan, Megan, Cole, Kimberly, Khramtsova, Galina, Pearson, Alexander T
Published in bioRxiv : the preprint server for biology (25.03.2024)
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Published in bioRxiv : the preprint server for biology (25.03.2024)
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