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A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning Ma, Yuntao; Ghanbari, Hiva; Huang, Tianyuan; Irvin, Jeremy; Brady, Oliver; Zalouk, Sofian; Sheng, Hao; Ng, Andrew; Rajagopal, Ram; Narsude, Mayur Share Save
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Evaluating progress in automatic chest X-ray radiology report generation Yu, Feiyang; Endo, Mark; Krishnan, Rayan; Pan, Ian; Tsai, Andy; Reis, Eduardo Pontes; Fonseca, Eduardo Kaiser Ururahy Nunes; Lee, Henrique Min Ho; Abad, Zahra Shakeri Hossein; Ng, Andrew Y.; Langlotz, Curtis P.; Venugopal, Vasantha Kumar; Rajpurkar, Pranav Share Save
Benchmarking saliency methods for chest X-ray interpretation Saporta, Adriel; Gui, Xiaotong; Agrawal, Ashwin; Pareek, Anuj; Truong, Steven Q. H.; Nguyen, Chanh D. T.; Ngo, Van-Doan; Seekins, Jayne; Blankenberg, Francis G.; Ng, Andrew Y.; Lungren, Matthew P.; Rajpurkar, Pranav Share Save
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Tackling Climate Change with Machine Learning Rolnick, David; Donti, Priya L.; Kaack, Lynn H.; Kochanski, Kelly; Lacoste, Alexandre; Sankaran, Kris; Ross, Andrew Slavin; Milojevic-Dupont, Nikola; Jaques, Natasha; Waldman-Brown, Anna; Luccioni, Alexandra Sasha; Maharaj, Tegan; Sherwin, Evan D.; Mukkavilli, S. Karthik; Kording, Konrad P.; Gomes, Carla P.; Ng, Andrew Y.; Hassabis, Demis; Platt, John C.; Creutzig, Felix; Chayes, Jennifer; Bengio, Yoshua Share Save
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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands Irvin, Jeremy; Zhou, Sharon; McNicol, Gavin; Lu, Fred; Liu, Vincent; Fluet-Chouinard, Etienne; Ouyang, Zutao; Knox, Sara Helen; Lucas-Moffat, Antje; Trotta, Carlo; Papale, Dario; Vitale, Domenico; Mammarella, Ivan; Alekseychik, Pavel; Aurela, Mika; Avati, Anand; Baldocchi, Dennis; Bansal, Sheel; Bohrer, Gil; Campbell, David, I; Chen, Jiquan; Chu, Housen; Dalmagro, Higo J.; Delwiche, Kyle B.; Desai, Ankur R.; Euskirchen, Eugenie; Feron, Sarah; Goeckede, Mathias; Heimann, Martin; Helbig, Manuel; Helfter, Carole; Hemes, Kyle S.; Hirano, Takashi; Iwata, Hiroki; Jurasinski, Gerald; Kalhori, Aram; Kondrich, Andrew; Lai, Derrick Y. F.; Lohila, Annalea; Malhotra, Avni; Merbold, Lutz; Mitra, Bhaskar; Ng, Andrew; Nilsson, Mats B.; Noormets, Asko; Peichl, Matthias; Rey-Sanchez, A. Camilo; Richardson, Andrew D.; Runkle, Benjamin R. K.; Schafer, Karina V. R.; Sonnentag, Oliver; Stuart-Haentjens, Ellen; Sturtevant, Cove; Ueyama, Masahito; Valach, Alex C.; Vargas, Rodrigo; Vourlitis, George L.; Ward, Eric J.; Wong, Guan Xhuan; Zona, Donatella; Alberto, Ma Carmelita R.; Billesbach, David P.; Celis, Gerardo; Dolman, Han; Friborg, Thomas; Fuchs, Kathrin; Gogo, Sebastien; Gondwe, Mangaliso J.; Goodrich, Jordan P.; Gottschalk, Pia; Hortnagl, Lukas; Jacotot, Adrien; Koebsch, Franziska; Kasak, Kuno; Maier, Regine; Morin, Timothy H.; Nemitz, Eiko; Oechel, Walter C.; Oikawa, Patricia Y.; Ono, Keisuke; Sachs, Torsten; Sakabe, Ayaka; Schuur, Edward A.; Shortt, Robert; Sullivan, Ryan C.; Szutu, Daphne J.; Tuittila, Eeva-Stiina; Varlagin, Andrej; Verfaillie, Joeseph G.; Wille, Christian; Windham-Myers, Lisamarie; Poulter, Benjamin; Jackson, Robert B. Share Save
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza Hogan, Catherine A.; Rajpurkar, Pranav; Sowrirajan, Hari; Phillips, Nicholas A.; Le, Anthony T.; Wu, Manhong; Garamani, Natasha; Sahoo, Malaya K.; Wood, Mona L.; Huang, ChunHong; Ng, Andrew Y.; Mak, Justin; Cowan, Tina M.; Pinsky, Benjamin A. Share Save
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Automated coronary calcium scoring using deep learning with multicenter external validation Eng, David; Chute, Christopher; Khandwala, Nishith; Rajpurkar, Pranav; Long, Jin; Shleifer, Sam; Khalaf, Mohamed H.; Sandhu, Alexander T.; Rodriguez, Fatima; Maron, David J.; Seyyedi, Saeed; Marin, Daniele; Golub, Ilana; Budoff, Matthew; Kitamura, Felipe; Takahashi, Marcelo Straus; Filice, Ross W.; Shah, Rajesh; Mongan, John; Kallianos, Kimberly; Langlotz, Curtis P.; Lungren, Matthew P.; Ng, Andrew Y.; Patel, Bhavik N. Share Save
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CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV Rajpurkar, Pranav; O'Connell, Chloe; Schechter, Amit; Asnani, Nishit; Li, Jason; Kiani, Amirhossein; Ball, Robyn L.; Mendelson, Marc; Maartens, Gary; van Hoving, Daniel J.; Griesel, Rulan; Ng, Andrew Y.; Boyles, Tom H.; Lungren, Matthew P. Share Save
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging (vol 66, pg 121, 2020) Huang, Shih-Cheng; Kothari, Tanay; Banerjee, Imon; Chute, Chris; Ball, Robyn L.; Borus, Norah; Huang, Andrew; Patel, Bhavik N.; Rajpurkar, Pranav; Irvin, Jeremy; Dunnmon, Jared; Bledsoe, Joseph; Shpanskaya, Katie; Dhaliwal, Abhay; Zamanian, Roham; Ng, Andrew Y.; Lungren, Matthew P. Share Save
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Irvin, Jeremy A.; Kondrich, Andrew A.; Ko, Michael; Rajpurkar, Pranav; Haghgoo, Behzad; Landon, Bruce E.; Phillips, Robert; Petterson, Stephen; Ng, Andrew Y.; Basu, Sanjay Share Save
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging Huang, Shih-Cheng; Kothari, Tanay; Banerjee, Imon; Chute, Chris; Ball, Robyn L.; Borus, Norah; Huang, Andrew; Patel, Bhavik N.; Rajpurkar, Pranav; Irvin, Jeremy; Dunnmon, Jared; Bledsoe, Joseph; Shpanskaya, Katie; Dhaliwal, Abhay; Zamanian, Roham; Ng, Andrew Y.; Lungren, Matthew P. Share Save
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining Rajpurkar, Pranav; Park, Allison; Irvin, Jeremy; Chute, Chris; Bereket, Michael; Mastrodicasa, Domenico; Langlotz, Curtis P.; Lungren, Matthew P.; Ng, Andrew Y.; Patel, Bhavik N. Share Save
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