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

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GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers von Mermel, Craig H, Schumacher, Steven E, Hill, Barbara, Meyerson, Matthew L, Beroukhim, Rameen, Getz, Gad

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Current and future applications of artificial intelligence in pathology: a clinical perspective von Rakha, Emad A, Toss, Michael, Shiino, Sho, Gamble, Paul, Jaroensri, Ronnachai, Mermel, Craig H, Chen, Po-Hsuan Cameron

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Artificial intelligence in digital breast pathology: Techniques and applications von Ibrahim, Asmaa, Gamble, Paul, Jaroensri, Ronnachai, Abdelsamea, Mohammed M., Mermel, Craig H., Chen, Po-Hsuan Cameron, Rakha, Emad A.

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Pan-cancer patterns of somatic copy number alteration von 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

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Mutational heterogeneity in cancer and the search for new cancer-associated genes von Lawrence, Michael S., Stojanov, Petar, Polak, Paz, Kryukov, Gregory V., Cibulskis, Kristian, Sivachenko, Andrey, Carter, Scott L., Stewart, Chip, Mermel, Craig H., Roberts, Steven A., Kiezun, Adam, Hammerman, Peter S., McKenna, Aaron, Drier, Yotam, Zou, Lihua, Ramos, Alex H., Pugh, Trevor J., Stransky, Nicolas, Helman, Elena, Kim, Jaegil, Sougnez, Carrie, Ambrogio, Lauren, Nickerson, Elizabeth, Shefler, Erica, Cortés, Maria L., Auclair, Daniel, Saksena, Gordon, Voet, Douglas, Noble, Michael, DiCara, Daniel, Lin, Pei, Lichtenstein, Lee, Heiman, David I., Fennell, Timothy, Imielinski, Marcin, Hernandez, Bryan, Hodis, Eran, Baca, Sylvan, Dulak, Austin M., Lohr, Jens, Landau, Dan-Avi, Wu, Catherine J., Melendez-Zajgla, Jorge, Hidalgo-Miranda, Alfredo, Koren, Amnon, McCarroll, Steven A., Mora, Jaume, Lee, Ryan S., Crompton, Brian, Onofrio, Robert, Parkin, Melissa, Winckler, Wendy, Ardlie, Kristin, Gabriel, Stacey B., Roberts, Charles W. M., Biegel, Jaclyn A., Stegmaier, Kimberly, Bass, Adam J., Garraway, Levi A., Meyerson, Matthew, Golub, Todd R., Gordenin, Dmitry A., Sunyaev, Shamil, Lander, Eric S., Getz, Gad

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Integrated genomic analysis illustrates the central role of JAK-STAT pathway activation in myeloproliferative neoplasm pathogenesis von Rampal, Raajit, Al-Shahrour, Fatima, Abdel-Wahab, Omar, Patel, Jay P., Brunel, Jean-Philippe, Mermel, Craig H., Bass, Adam J., Pretz, Jennifer, Ahn, Jihae, Hricik, Todd, Kilpivaara, Outi, Wadleigh, Martha, Busque, Lambert, Gilliland, D. Gary, Golub, Todd R., Ebert, Benjamin L., Levine, Ross L.

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The histone methyltransferase SETDB1 is recurrently amplified in melanoma and accelerates its onset von 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.

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

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The landscape of somatic copy-number alteration across human cancers von Yecies, Derek, Gabriel, Stacey, Porter, Dale, Nucera, Carmelo, Antonescu, Cristina R, Chiang, Derek Y, Janne, Pasi A, Greulich, Heidi, Loo, Alice, Prensner, John, Maher, Elizabeth, Rustgi, Anil K, Ligon, Azra H, Tanaka, Kumiko E, Kaye, Frederic J, Ebert, Benjamin L, Pomeroy, Scott L, Lander, Eric S, Fletcher, Jonathan A, Okamoto, Aikou, Signoretti, Sabina, Haery, Leila, Reich, Michael, Dobson, Jennifer, Raychaudhuri, Soumya, Wei, Guo, Baselga, José, Tsao, Ming-Sound, Letai, Anthony, Getz, Gad, Liefeld, Ted, Donovan, Jerry, Levine, Ross L, Beer, David G, Daly, Mark J, Sasaki, Hidefumi, Pinchback, Reid M, Bass, Adam J, Hoffman, Carter, Ladanyi, Marc, True, Lawrence D, Cho, Yoon-Jae, Sellers, William R, Tabernero, Josep, Demichelis, Francesca, Tepper, Joel E, Golub, Todd R, Meyerson, Matthew, Boehm, Jesse S, Mermel, Craig H, Loda, Massimo, Weir, Barbara A, Beroukhim, Rameen, Singer, Samuel, Urashima, Mitsuyoshi, Gao, Qing, Lawrence, Michael S, Rubin, Mark A, Barretina, Jordi, Garraway, Levi A, Winckler, Wendy, Mc Henry, Kevin T

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Interpretable survival prediction for colorectal cancer using deep learning von 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.

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SOX2 is an amplified lineage-survival oncogene in lung and esophageal squamous cell carcinomas von Meyerson, Matthew, Bass, Adam J, Watanabe, Hideo, Mermel, Craig H, Yu, Soyoung, Perner, Sven, Verhaak, Roel G, Kim, So Young, Wardwell, Leslie, Tamayo, Pablo, Gat-Viks, Irit, Ramos, Alex H, Woo, Michele S, Weir, Barbara A, Getz, Gad, Beroukhim, Rameen, O'Kelly, Michael, Dutt, Amit, Rozenblatt-Rosen, Orit, Dziunycz, Piotr, Komisarof, Justin, Chirieac, Lucian R, LaFargue, Christopher J, Scheble, Veit, Wilbertz, Theresia, Ma, Changqing, Rao, Shilpa, Nakagawa, Hiroshi, Stairs, Douglas B, Lin, Lin, Giordano, Thomas J, Wagner, Patrick, Minna, John D, Gazdar, Adi F, Zhu, Chang Qi, Brose, Marcia S, Cecconello, Ivan, Jr, Ulysses Ribeiro, Marie, Suely K, Dahl, Olav, Shivdasani, Ramesh A, Tsao, Ming-Sound, Rubin, Mark A, Wong, Kwok K, Regev, Aviv, Hahn, William C, Beer, David G, Rustgi, Anil K

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Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy von Sander, Chris, Meyerson, Matthew, Singer, Samuel, Barretina, Jordi, Taylor, Barry S, Banerji, Shantanu, Ramos, Alexis H, Lagos-Quintana, Mariana, DeCarolis, Penelope L, Shah, Kinjal, Socci, Nicholas D, Weir, Barbara A, Ho, Alan, Chiang, Derek Y, Reva, Boris, Mermel, Craig H, Getz, Gad, Antipin, Yevgenyi, Beroukhim, Rameen, Major, John E, Hatton, Charles, Nicoletti, Richard, Hanna, Megan, Sharpe, Ted, Fennell, Tim J, Cibulskis, Kristian, Onofrio, Robert C, Saito, Tsuyoshi, Shukla, Neerav, Lau, Christopher, Nelander, Sven, Silver, Serena J, Sougnez, Carrie, Viale, Agnes, Winckler, Wendy, Maki, Robert G, Garraway, Levi A, Lash, Alex, Greulich, Heidi, Root, David E, Sellers, William R, Schwartz, Gary K, Antonescu, Cristina R, Lander, Eric S, Varmus, Harold E, Ladanyi, Marc

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Clinical Acquired Resistance to RAF Inhibitor Combinations in BRAF-Mutant Colorectal Cancer through MAPK Pathway Alterations von Ahronian, Leanne G, Sennott, Erin M, Van Allen, Eliezer M, Wagle, Nikhil, Kwak, Eunice L, Faris, Jason E, Godfrey, Jason T, Nishimura, Koki, Lynch, Kerry D, Mermel, Craig H, Lockerman, Elizabeth L, Kalsy, Anuj, Gurski, Jr, Joseph M, Bahl, Samira, Anderka, Kristin, Green, Lisa M, Lennon, Niall J, Huynh, Tiffany G, Mino-Kenudson, Mari, Getz, Gad, Dias-Santagata, Dora, Iafrate, A John, Engelman, Jeffrey A, Garraway, Levi A, Corcoran, Ryan B

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Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer von Cheung, Hiu Wing, Cowley, Glenn S, Weir, Barbara A, Boehm, Jesse S, Rusin, Scott, Scott, Justine A, East, Alexandra, Ali, Levi D, Lizotte, Patrick H, Wong, Terence C, Jiang, Guozhi, Hsiao, Jessica, Mermel, Craig H, Getz, Gad, Barretina, Jordi, Gopal, Shuba, Tamayo, Pablo, Gould, Joshua, Tsherniak, Aviad, Stransky, Nicolas, Luo, Biao, Ren, Yin, Drapkin, Ronny, Bhatia, Sangeeta N, Mesirov, Jill P, Garraway, Levi A, Meyerson, Matthew, Lander, Eric S, Root, David E, Hahn, William C

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Recurrent Hemizygous Deletions in Cancers May Optimize Proliferative Potential von Solimini, Nicole L., Xu, Qikai, Mermel, Craig H., Liang, Anthony C., Schlabach, Michael R., Luo, Ji, Burrows, Anna E., Anselmo, Anthony N., Bredemeyer, Andrea L., Li, Mamie Z., Beroukhim, Rameen, Meyerson, Matthew, Elledge, Stephen J.

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

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Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection von Kohlberger, Timo, Liu, Yun, Moran, Melissa, Chen, Po-Hsuan Cameron, Brown, Trissia, Hipp, Jason D., Mermel, Craig H., Stumpe, Martin C.

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Evaluation of artificial intelligence on a reference standard based on subjective interpretation von Chen, Po-Hsuan Cameron, Mermel, Craig H, Liu, Yun

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Similar image search for histopathology: SMILY von 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.

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