A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation von Vujkovic, Marijana, Ramdas, Shweta, Lorenz, Kim M., Guo, Xiuqing, Darlay, Rebecca, Cordell, Heather J., He, Jing, Gindin, Yevgeniy, Chung, Chuhan, Myers, Robert P., Schneider, Carolin V., Park, Joseph, Lee, Kyung Min, Serper, Marina, Carr, Rotonya M., Kaplan, David E., Haas, Mary E., MacLean, Matthew T., Witschey, Walter R., Zhu, Xiang, Tcheandjieu, Catherine, Kember, Rachel L., Kranzler, Henry R., Verma, Anurag, Giri, Ayush, Klarin, Derek M., Sun, Yan V., Huang, Jie, Huffman, Jennifer E., Creasy, Kate Townsend, Hand, Nicholas J., Liu, Ching-Ti, Long, Michelle T., Yao, Jie, Budoff, Matthew, Tan, Jingyi, Li, Xiaohui, Lin, Henry J., Chen, Yii-Der Ida, Taylor, Kent D., Chang, Ruey-Kang, Krauss, Ronald M., Vilarinho, Silvia, Brancale, Joseph, Nielsen, Jonas B., Locke, Adam E., Jones, Marcus B., Verweij, Niek, Baras, Aris, Reddy, K. Rajender, Neuschwander-Tetri, Brent A., Schwimmer, Jeffrey B., Sanyal, Arun J., Chalasani, Naga, Ryan, Kathleen A., Mitchell, Braxton D., Gill, Dipender, Wells, Andrew D., Manduchi, Elisabetta, Saiman, Yedidya, Mahmud, Nadim, Miller, Donald R., Reaven, Peter D., Phillips, Lawrence S., Muralidhar, Sumitra, DuVall, Scott L., Lee, Jennifer S., Assimes, Themistocles L., Pyarajan, Saiju, Cho, Kelly, Edwards, Todd L., Damrauer, Scott M., Wilson, Peter W., Gaziano, J. Michael, O’Donnell, Christopher J., Khera, Amit V., Grant, Struan F. A., Brown, Christopher D., Tsao, Philip S., Saleheen, Danish, Lotta, Luca A., Bastarache, Lisa, Anstee, Quentin M., Daly, Ann K., Meigs, James B., Rotter, Jerome I., Lynch, Julie A., Rader, Daniel J., Voight, Benjamin F., Chang, Kyong-Mi

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CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank von Vu, Phuong T., Chahine, Chantal, Chatterjee, Neil, MacLean, Matthew T., Swago, Sophia, Bhattaru, Abhi, Thompson, Elizabeth W., Ikhlas, Anooshey, Oteng, Edith, Davidson, Lauren, Tran, Richard, Hazim, Mohamad, Raghupathy, Pavan, Verma, Anurag, Duda, Jeffrey, Gee, James, Luks, Valerie, Gershuni, Victoria, Wu, Gary, Rader, Daniel, Sagreiya, Hersh, Witschey, Walter R.

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Deep learning approach for automated segmentation of myocardium using bone scintigraphy single-photon emission computed tomography/computed tomography in patients with suspected ca... von Bhattaru, Abhijit, Rojulpote, Chaitanya, Vidula, Mahesh, Duda, Jeffrey, Maclean, Matthew T., Swago, Sophia, Thompson, Elizabeth, Gee, James, Pieretti, Janice, Drachman, Brian, Cohen, Adam, Dorbala, Sharmila, Bravo, Paco E., Witschey, Walter R.

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Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank von MacLean, Matthew T, Jehangir, Qasim, Vujkovic, Marijana, Ko, Yi-An, Litt, Harold, Borthakur, Arijitt, Sagreiya, Hersh, Rosen, Mark, Mankoff, David A, Schnall, Mitchell D, Shou, Haochang, Chirinos, Julio, Damrauer, Scott M, Torigian, Drew A, Carr, Rotonya, Rader, Daniel J, Witschey, Walter R

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Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning von Jones, Brandon C., Wehrli, Felix W., Kamona, Nada, Deshpande, Rajiv S., Vu, Brian-Tinh Duc, Song, Hee Kwon, Lee, Hyunyeol, Grewal, Rasleen Kaur, Chan, Trevor Jackson, Witschey, Walter R., MacLean, Matthew T., Josselyn, Nicholas J., Iyer, Srikant Kamesh, al Mukaddam, Mona, Snyder, Peter J., Rajapakse, Chamith S.

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Optimizing Medical Student Clerkship Schedules Using a Novel Application of the Hungarian Algorithm von MacLean, Matthew T., Lysikowski, Jerzy R., Rege, Robert V., Sendelbach, Dorothy M., Mihalic, Angela P.

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Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis von Song, Isabel, Thompson, Elizabeth W., Verma, Anurag, MacLean, Matthew T., Duda, Jeffrey, Elahi, Ameena, Tran, Richard, Raghupathy, Pavan, Swago, Sophia, Hazim, Mohamad, Bhattaru, Abhijit, Schneider, Carolin, Vujkovic, Marijana, Torigian, Drew A., Kahn, Charles E., Gee, James C., Borthakur, Arijitt, Kripke, Colleen M., Carson, Christopher C., Carr, Rotonya, Jehangir, Qasim, Ko, Yi-An, Litt, Harold, Rosen, Mark, Mankoff, David A., Schnall, Mitchell D., Shou, Haochang, Chirinos, Julio, Damrauer, Scott M., Serper, Marina, Chen, Jinbo, Rader, Daniel J., Witschey, Walter R. T., Sagreiya, Hersh

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Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank von Park, Joseph, MacLean, Matthew T., Lucas, Anastasia M., Torigian, Drew A., Schneider, Carolin V., Cherlin, Tess, Xiao, Brenda, Miller, Jason E., Bradford, Yuki, Judy, Renae L., Verma, Anurag, Damrauer, Scott M., Ritchie, Marylyn D., Witschey, Walter R., Rader, Daniel J.

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Classification of Myocardial 18F-FDG PET Uptake Patterns Using Deep Learning von Josselyn, Nicholas, MacLean, Matthew T, Jean, Christopher, Fuchs, Ben, Moon, Brianna F, Hwuang, Eileen, Iyer, Srikant Kamesh, Litt, Harold, Han, Yuchi, Kaghazchi, Fatemeh, Bravo, Paco E, Witschey, Walter R

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Classification of Myocardial 18 F-FDG PET Uptake Patterns Using Deep Learning von Josselyn, Nicholas, MacLean, Matthew T, Jean, Christopher, Fuchs, Ben, Moon, Brianna F, Hwuang, Eileen, Iyer, Srikant Kamesh, Litt, Harold, Han, Yuchi, Kaghazchi, Fatemeh, Bravo, Paco E, Witschey, Walter R

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Development and Validation of a Nomogram Prognostic Model for SCLC Patients von Wang, Shidan, Yang, Lin, Ci, Bo, Maclean, Matthew, Gerber, David E., Xiao, Guanghua, Xie, Yang

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SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification von Yao, Michael S., Chae, Allison, MacLean, Matthew T., Verma, Anurag, Duda, Jeffrey, Gee, James C., Torigian, Drew A., Rader, Daniel, Kahn, Charles E., Witschey, Walter R., Sagreiya, Hersh

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Outcomes of neoadjuvant and adjuvant chemotherapy in stage 2 and 3 non-small cell lung cancer: an analysis of the National Cancer Database von MacLean, Matthew, Luo, Xin, Wang, Shidan, Kernstine, Kemp, Gerber, David E, Xie, Yang

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DEEP LEARNING APPROACH FOR AUTOMATED DETECTION OF CARDIAC AMYLOIDOSIS USING 99TC-PYP SPECT/CT von BHATTARU, ABHIJIT, S ROJULPOTE, CHAITANYA, K VIDULA, MAHESH, T DUDA, JEFFREY, MACLEAN, MATTHEW, GEE, JAMES, PIERETTI, JANICE, DRACHMAN, BRIAN, COHEN, ADAM, DORBALA, SHARMILA, WITSCHEY, WALTER, E BRAVO, PACO

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Abdel Razzaq Takriti, Monsoon Revolution: Republicans, Sultans, and Empires in Oman, 1965–1976: Oxford, Oxford University Press, 2013, 352 pages von MacLean, Matthew

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Life Worlds of Middle Eastern Oil: Histories and Ethnographies of Black Gold von Fuccaro, Nelida, Limbert, Mandana

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Nelida Fuccaro, Histories of City and State in the Persian Gulf: Manama Since 1800: Cambridge, Cambridge University Press, 276 pages von MacLean, Matthew

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Development and Validation of a Nomogram Prognostic Model for Small-Cell Lung Cancer Patients von Wang, Shidan, Yang, Lin, Ci, Bo, Maclean, Matthew, Gerber, David E., Xiao, Guanghua, Xie, Yang

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A Cloud-Based System for Automated AI Image Analysis and Reporting von Chatterjee, Neil, Duda, Jeffrey, Gee, James, Elahi, Ameena, Martin, Kristen, Doan, Van, Liu, Hannah, Maclean, Matthew, Rader, Daniel, Borthakur, Arijitt, Kahn, Charles, Sagreiya, Hersh, Witschey, Walter

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Trainee Research Prizes from the 2019 RSNA Scientific Assembly and Annual Meeting

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