Reply: ‘The importance of study design in the application of artificial intelligence methods in medicine’

por Nagpal, Kunal, Liu, Yun, Chen, Po-Hsuan Cameron, Stumpe, Martin C., Mermel, Craig H.
Publicado 2019

GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

por Mermel, Craig H, Schumacher, Steven E, Hill, Barbara, Meyerson, Matthew L, Beroukhim, Rameen, Getz, Gad
Publicado 2011

microRNA Expression during Trophectoderm Specification

por Viswanathan, Srinivas R., Mermel, Craig H., Lu, Jun, Lu, Chi-Wei, Golub, Todd R., Daley, George Q.
Publicado 2009

Artificial intelligence in digital breast pathology: Techniques and applications

por Ibrahim, Asmaa, Gamble, Paul, Jaroensri, Ronnachai, Abdelsamea, Mohammed M., Mermel, Craig H., Chen, Po-Hsuan Cameron, Rakha, Emad A.
Publicado 2019

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection

por Kohlberger, Timo, Liu, Yun, Moran, Melissa, Chen, Po-Hsuan Cameron, Brown, Trissia, Hipp, Jason D., Mermel, Craig H., Stumpe, Martin C.
Publicado 2019

Discovery and saturation analysis of cancer genes across 21 tumor types

por Lawrence, Michael S., Stojanov, Petar, Mermel, Craig H., Garraway, Levi A., Golub, Todd R., Meyerson, Matthew, Gabriel, Stacey B., Lander, Eric S., Getz, Gad
Publicado 2014

Inhibitor-Sensitive FGFR1 Amplification in Human Non-Small Cell Lung Cancer

por Dutt, Amit, Ramos, Alex H., Hammerman, Peter S., Mermel, Craig, Cho, Jeonghee, Sharifnia, Tanaz, Chande, Ajit, Tanaka, Kumiko Elisa, Stransky, Nicolas, Greulich, Heidi, Gray, Nathanael S., Meyerson, Matthew
Publicado 2011

Deep learning-based survival prediction for multiple cancer types using histopathology images

por Wulczyn, Ellery, Steiner, David F., Xu, Zhaoyang, Sadhwani, Apaar, Wang, Hongwu, Flament-Auvigne, Isabelle, Mermel, Craig H., Chen, Po-Hsuan Cameron, Liu, Yun, Stumpe, Martin C.
Publicado 2020

Similar image search for histopathology: SMILY

por 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.
Publicado 2019

Pan-cancer patterns of somatic copy-number alteration

por Zack, Travis I., Schumacher, Steven E., Carter, Scott L., Cherniack, Andrew D., Saksena, Gordon, Tabak, Barbara, Lawrence, Michael S., Zhang, Cheng-Zhong, Wala, Jeremiah, Mermel, Craig H., Sougnez, Carrie, Gabriel, Stacey B., Hernandez, Bryan, Shen, Hui, Laird, Peter W., Getz, Gad, Meyerson, Matthew, Beroukhim, Rameen
Publicado 2013

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

por 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
Publicado 2021

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

por Krogue, Justin D., Azizi, Shekoofeh, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Plass, Markus, Reihs, Robert, Müller, 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
Publicado 2023

Determining breast cancer biomarker status and associated morphological features using deep learning

por 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
Publicado 2021

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

por 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.
Publicado 2019

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

por 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.
Publicado 2019

Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

por Steiner, David F., Nagpal, Kunal, Sayres, Rory, Foote, Davis J., Wedin, Benjamin D., Pearce, Adam, Cai, Carrie J., Winter, Samantha R., Symonds, Matthew, Yatziv, Liron, Kapishnikov, Andrei, Brown, Trissia, Flament-Auvigne, Isabelle, Tan, Fraser, Stumpe, Martin C., Jiang, Pan-Pan, Liu, Yun, Chen, Po-Hsuan Cameron, Corrado, Greg S., Terry, Michael, Mermel, Craig H.
Publicado 2020

Interpretable survival prediction for colorectal cancer using deep learning

por 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, Müller, Heimo, Xu, Zhaoyang, Liu, Yun, Stumpe, Martin C., Zatloukal, Kurt, Mermel, Craig H.
Publicado 2021

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

por 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., Müller, 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.
Publicado 2021

The SETDB1 histone methyltransferase is recurrently amplified in and accelerates melanoma

por Ceol, Craig J., Houvras, Yariv, Jane-Valbuena, Judit, Bilodeau, Steve, Orlando, David A., Battisti, Valentine, Fritsch, Lauriane, Lin, William M., Hollmann, Travis J., Ferré, Fabrizio, Bourque, Caitlin, Burke, Christopher J., Turner, Laura, Uong, Audrey, Johnson, Laura A., Beroukhim, Rameen, Mermel, Craig H., Loda, Massimo, Ait-Si-Ali, Slimane, Garraway, Levi A., Young, Richard A., Zon, Leonard I.
Publicado 2011

Deep learning models for histologic grading of breast cancer and association with disease prognosis

por 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
Publicado 2022