未登录 Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features 生成对抗网络从病理，基因组和影像学潜在特征准确地重建了泛癌症组织学 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. 分享 收藏
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology Ramesh, Siddhi; Dyer, Emma; Pomaville, Monica; Doytcheva, Kristina; Dolezal, James; Kochanny, Sara; Terhaar, Rachel; Mehrhoff, Casey J.; Patel, Kritika; Brewer, Jacob; Kusswurm, Benjamin; Naranjo, Arlene; Shimada, Hiroyuki; Cipriani, Nicole A.; Husain, Aliya N.; Pytel, Peter; Sokol, Elizabeth A.; Cohn, Susan L.; George, Rani E.; Pearson, Alexander T.; Applebaum, Mark A. 分享 收藏
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. 分享 收藏
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Deep learning generates synthetic cancer histology for explainability and education 深度学习为可解释性和教育生成合成癌症组织学 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. 分享 收藏
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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 分享 收藏
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology 基于不确定性的深度学习模型可实现数字组织病理学的高置信度预测 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. 分享 收藏
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. 分享 收藏
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