PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective von Cooper, Lee AD, Demicco, Elizabeth G, Saltz, Joel H, Powell, Reid T, Rao, Arvind, Lazar, Alexander J

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Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research von Hersh, William R., Weiner, Mark G., Embi, Peter J., Logan, Judith R., Payne, Philip R.O., Bernstam, Elmer V., Lehmann, Harold P., Hripcsak, George, Hartzog, Timothy H., Cimino, James J., Saltz, Joel H.

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Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble von Dmitriev, Konstantin, Kaufman, Arie E., Javed, Ammar A., Hruban, Ralph H., Fishman, Elliot K., Lennon, Anne Marie, Saltz, Joel H.

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Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data von Gutman, David A, Cobb, Jake, Somanna, Dhananjaya, Park, Yuna, Wang, Fusheng, Kurc, Tahsin, Saltz, Joel H, Brat, Daniel J, Cooper, Lee A D

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Computational immunohistochemical mapping adds immune context to histological phenotypes in mouse models of colitis von Kobayashi, Soma, Sullivan, Christopher, Bialkowska, Agnieszka B., Saltz, Joel H., Yang, Vincent W.

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Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis von Kobayashi, Soma, Shieh, Jason, Ruiz de Sabando, Ainara, Kim, Julie, Liu, Yang, Zee, Sui Y, Prasanna, Prateek, Bialkowska, Agnieszka B, Saltz, Joel H, Yang, Vincent W

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The Tumor Microenvironment Strongly Impacts Master Transcriptional Regulators and Gene Expression Class of Glioblastoma von Cooper, Lee A.D, Gutman, David A, Chisolm, Candace, Appin, Christina, Kong, Jun, Rong, Yuan, Kurc, Tahsin, Van Meir, Erwin G, Saltz, Joel H, Moreno, Carlos S, Brat, Daniel J

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Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates von Kong, Jun, Cooper, Lee A D, Wang, Fusheng, Gao, Jingjing, Teodoro, George, Scarpace, Lisa, Mikkelsen, Tom, Schniederjan, Matthew J, Moreno, Carlos S, Saltz, Joel H, Brat, Daniel J

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The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas von Cooper, Lee A D, Gutman, David A, Long, Qi, Johnson, Brent A, Cholleti, Sharath R, Kurc, Tahsin, Saltz, Joel H, Brat, Daniel J, Moreno, Carlos S

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GlycoPattern: a web platform for glycan array mining von Agravat, Sanjay B, Saltz, Joel H, Cummings, Richard D, Smith, David F

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A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions von Chen, Xin, Hou, Wei, Rashidian, Sina, Wang, Yu, Zhao, Xia, Leibowitz, George Stuart, Rosenthal, Richard N., Saltz, Mary, Saltz, Joel H., Schoenfeld, Elinor Randi, Wang, Fusheng

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Open and reusable deep learning for pathology with WSInfer and QuPath von Kaczmarzyk, Jakub R., O’Callaghan, Alan, Inglis, Fiona, Gat, Swarad, Kurc, Tahsin, Gupta, Rajarsi, Bremer, Erich, Bankhead, Peter, Saltz, Joel H.

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An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing von Foran, David J, Chen, Wenjin, Kurc, Tahsin, Gupta, Rajarshi, Kaczmarzyk, Jakub Roman, Torre-Healy, Luke Austin, Bremer, Erich, Ajjarapu, Samuel, Do, Nhan, Harris, Gerald, Stroup, Antoinette, Durbin, Eric, Saltz, Joel H

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Integrated morphologic analysis for the identification and characterization of disease subtypes von Cooper, Lee A D, Kong, Jun, Gutman, David A, Wang, Fusheng, Gao, Jingjing, Appin, Christina, Cholleti, Sharath, Pan, Tony, Sharma, Ashish, Scarpace, Lisa, Mikkelsen, Tom, Kurc, Tahsin, Moreno, Carlos S, Brat, Daniel J, Saltz, Joel H

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AI in Medical Imaging Informatics: Current Challenges and Future Directions von Panayides, Andreas S., Amini, Amir, Filipovic, Nenad D., Sharma, Ashish, Tsaftaris, Sotirios A., Young, Alistair, Foran, David, Do, Nhan, Golemati, Spyretta, Kurc, Tahsin, Huang, Kun, Nikita, Konstantina S., Veasey, Ben P., Zervakis, Michalis, Saltz, Joel H., Pattichis, Constantinos S.

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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment von Haendel, Melissa A, Chute, Christopher G, Bennett, Tellen D, Eichmann, David A, Guinney, Justin, Kibbe, Warren A, Payne, Philip R O, Pfaff, Emily R, Robinson, Peter N, Saltz, Joel H, Spratt, Heidi, Suver, Christine, Wilbanks, John, Wilcox, Adam B, Williams, Andrew E, Wu, Chunlei, Blacketer, Clair, Bradford, Robert L, Cimino, James J, Clark, Marshall, Colmenares, Evan W, Francis, Patricia A, Gabriel, Davera, Graves, Alexis, Hemadri, Raju, Hong, Stephanie S, Hripscak, George, Jiao, Dazhi, Klann, Jeffrey G, Kostka, Kristin, Lee, Adam M, Lehmann, Harold P, Lingrey, Lora, Miller, Robert T, Morris, Michele, Murphy, Shawn N, Natarajan, Karthik, Palchuk, Matvey B, Sheikh, Usman, Solbrig, Harold, Visweswaran, Shyam, Walden, Anita, Walters, Kellie M, Weber, Griffin M, Zhang, Xiaohan Tanner, Zhu, Richard L, Amor, Benjamin, Girvin, Andrew T, Manna, Amin, Qureshi, Nabeel, Kurilla, Michael G, Michael, Sam G, Portilla, Lili M, Rutter, Joni L, Austin, Christopher P, Gersing, Ken R

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Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification von Meirelles, André L S, Kurc, Tahsin, Kong, Jun, Ferreira, Renato, Saltz, Joel H, Teodoro, George

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Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images von Hou, Le, Nguyen, Vu, Kanevsky, Ariel B., Samaras, Dimitris, Kurc, Tahsin M., Zhao, Tianhao, Gupta, Rajarsi R., Gao, Yi, Chen, Wenjin, Foran, David, Saltz, Joel H.

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State of machine and deep learning in histopathological applications in digestive diseases von Kobayashi, Soma, Saltz, Joel H., Yang, Vincent W.

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Identifying risk of opioid use disorder for patients taking opioid medications with deep learning von Dong, Xinyu, Deng, Jianyuan, Rashidian, Sina, Abell-Hart, Kayley, Hou, Wei, Rosenthal, Richard N, Saltz, Mary, Saltz, Joel H, Wang, Fusheng

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