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First-in-human experience performing high-resolution cortical mapping using a novel microelectrode array containing 1024 electrodes Konrad, Peter; Gelman, Kate R.; Lawrence, Jesse; Bhatia, Sanjay; Jacqueline, Dister; Sharma, Radhey; Ho, Elton; Byun, Yoon Woo; Mermel, Craig H.; Rapoport, Benjamin, I Share Save
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning Krogue, Justin D.; Azizi, Shekoofeh; Tan, Fraser; Flament-Auvigne, Isabelle; Brown, Trissia; Plass, Markus; Reihs, Robert; Mueller, Heimo; Zatloukal, Kurt; Richeson, Pema; Corrado, Greg S.; Peng, Lily H.; Mermel, Craig H.; Liu, Yun; Chen, Po-Hsuan Cameron; Gombar, Saurabh; Montine, Thomas; Shen, Jeanne; Steiner, David F.; Wulczyn, Ellery Share Save
Deep learning models for histologic grading of breast cancer and association with disease prognosis Jaroensri, Ronnachai; Wulczyn, Ellery; Hegde, Narayan; Brown, Trissia; Flament-Auvigne, Isabelle; Tan, Fraser; Cai, Yuannan; Nagpal, Kunal; Rakha, Emad A.; Dabbs, David J.; Olson, Niels; Wren, James H.; Thompson, Elaine E.; Seetao, Erik; Robinson, Carrie; Miao, Melissa; Beckers, Fabien; Corrado, Greg S.; Peng, Lily H.; Mermel, Craig H.; Liu, Yun; Steiner, David F.; Chen, Po-Hsuan Cameron Share Save
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge Bulten, Wouter; Kartasalo, Kimmo; Chen, Po-Hsuan Cameron; Strom, Peter; Pinckaers, Hans; Nagpal, Kunal; Cai, Yuannan; Steiner, David F.; van Boven, Hester; Vink, Robert; Hulsbergen-van de Kaa, Christina; van der Laak, Jeroen; Amin, Mahul B.; Evans, Andrew J.; van der Kwast, Theodorus; Allan, Robert; Humphrey, Peter A.; Gronberg, Henrik; Samaratunga, Hemamali; Delahunt, Brett; Tsuzuki, Toyonori; Hakkinen, Tomi; Egevad, Lars; Demkin, Maggie; Dane, Sohier; Tan, Fraser; Valkonen, Masi; Corrado, Greg S.; Peng, Lily; Mermel, Craig H.; Ruusuvuori, Pekka; Litjens, Geert; Eklund, Martin Share Save
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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images Sadhwani, Apaar; Chang, Huang-Wei; Behrooz, Ali; Brown, Trissia; Auvigne-Flament, Isabelle; Patel, Hardik; Findlater, Robert; Velez, Vanessa; Tan, Fraser; Tekiela, Kamilla; Wulczyn, Ellery; Yi, Eunhee S.; Mermel, Craig H.; Hanks, Debra; Chen, Po-Hsuan Cameron; Kulig, Kimary; Batenchuk, Cory; Steiner, David F.; Cimermancic, Peter Share Save
Determining breast cancer biomarker status and associated morphological features using deep learning Gamble, Paul; Jaroensri, Ronnachai; Wang, Hongwu; Tan, Fraser; Moran, Melissa; Brown, Trissia; Flament-Auvigne, Isabelle; Rakha, Emad A.; Toss, Michael; Dabbs, David J.; Regitnig, Peter; Olson, Niels; Wren, James H.; Robinson, Carrie; Corrado, Greg S.; Peng, Lily H.; Liu, Yun; Mermel, Craig H.; Steiner, David F.; Chen, Po-Hsuan Cameron Share Save
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading Wulczyn, Ellery; Nagpal, Kunal; Symonds, Matthew; Moran, Melissa; Plass, Markus; Reihs, Robert; Nader, Farah; Tan, Fraser; Cai, Yuannan; Brown, Trissia; Flament-Auvigne, Isabelle; Amin, Mahul B.; Stumpe, Martin C.; Muller, Heimo; Regitnig, Peter; Holzinger, Andreas; Corrado, Greg S.; Peng, Lily H.; Chen, Po-Hsuan Cameron; Steiner, David F.; Zatloukal, Kurt; Liu, Yun; Mermel, Craig H. Share Save
Interpretable survival prediction for colorectal cancer using deep learning Wulczyn, Ellery; Steiner, David F.; Moran, Melissa; Plass, Markus; Reihs, Robert; Tan, Fraser; Flament-Auvigne, Isabelle; Brown, Trissia; Regitnig, Peter; Chen, Po-Hsuan Cameron; Hegde, Narayan; Sadhwani, Apaar; MacDonald, Robert; Ayalew, Benny; Corrado, Greg S.; Peng, Lily H.; Tse, Daniel; Mueller, Heimo; Xu, Zhaoyang; Liu, Yun; Stumpe, Martin C.; Zatloukal, Kurt; Mermel, Craig H. Share Save
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A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer Wulczyn, Ellery; Steiner, David F.; Moran, Melissa; Plass, Markus; Reihs, Robert; Mueller, Heimo; Sadhwani, Apaar; Cai, Yuannan; Flament, Isabelle; Chen, Po-Hsuan Cameron; Liu, Yun; Stumpe, Martin C.; Xu, Zhaoyang; Zatloukal, Kurt; Mermel, Craig H. Share Save
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Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer (vol 2, 48, 2019) Nagpal, Kunal; Foote, Davis; Liu, Yun; Chen, Po-Hsuan Cameron; Wulczyn, Ellery; Tan, Fraser; Olson, Niels; Smith, Jenny L.; Mohtashamian, Arash; Wren, James H.; Corrado, Greg S.; MacDonald, Robert; Peng, Lily H.; Amin, Mahul B.; Evans, Andrew J.; Sangoi, Ankur R.; Mermel, Craig H.; Hipp, Jason D.; Stumpe, Martin C. Share Save
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An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis Chen, Po-Hsuan Cameron; Gadepalli, Krishna; MacDonald, Robert; Liu, Yun; Kadowaki, Shiro; Nagpal, Kunal; Kohlberger, Timo; Dean, Jeffrey; Corrado, Greg S.; Hipp, Jason D.; Mermel, Craig H.; Stumpe, Martin C. Share Save
Similar image search for histopathology: SMILY Hegde, Narayan; Hipp, Jason D.; Liu, Yun; Emmert-Buck, Michael; Reif, Emily; Smilkov, Daniel; Terry, Michael; Cai, Carrie J.; Amin, Mahul B.; Mermel, Craig H.; Nelson, Phil Q.; Peng, Lily H.; Corrado, Greg S.; Stumpe, Martin C. Share Save
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Nagpal, Kunal; Foote, Davis; Liu, Yun; Chen, Po-Hsuan Cameron; Wulczyn, Ellery; Tan, Fraser; Olson, Niels; Smith, Jenny L.; Mohtashamian, Arash; Wren, James H.; Corrado, Greg S.; MacDonald, Robert; Peng, Lily H.; Amin, Mahul B.; Evans, Andrew J.; Sangoi, Ankur R.; Mermel, Craig H.; Hipp, Jason D.; Stumpe, Martin C. Share Save
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