An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations

por Webster, Dale R., Hekele, Armin G., Lauring, Adam S., Fischer, Kael F., Li, Hao, Andino, Raul, DeRisi, Joseph L.
Publicado 2009

Distinguishing Molecular Features and Clinical Characteristics of a Putative New Rhinovirus Species, Human Rhinovirus C (HRV C)

por McErlean, Peter, Shackelton, Laura A., Andrews, Emily, Webster, Dale R., Lambert, Stephen B., Nissen, Michael D., Sloots, Theo P., Mackay, Ian M.
Publicado 2008

Genome-wide diversity and selective pressure in the human rhinovirus

por Kistler, Amy L, Webster, Dale R, Rouskin, Silvi, Magrini, Vince, Credle, Joel J, Schnurr, David P, Boushey, Homer A, Mardis, Elaine R, Li, Hao, DeRisi, Joseph L
Publicado 2007

Detection of signs of disease in external photographs of the eyes via deep learning

por Babenko, Boris, Mitani, Akinori, Traynis, Ilana, Kitade, Naho, Singh, Preeti, Maa, April Y., Cuadros, Jorge, Corrado, Greg S., Peng, Lily, Webster, Dale R., Varadarajan, Avinash, Hammel, Naama, Liu, Yun
Publicado 2022

Remote Tool-Based Adjudication for Grading Diabetic Retinopathy

por Schaekermann, Mike, Hammel, Naama, Terry, Michael, Ali, Tayyeba K., Liu, Yun, Basham, Brian, Campana, Bilson, Chen, William, Ji, Xiang, Krause, Jonathan, Corrado, Greg S., Peng, Lily, Webster, Dale R., Law, Edith, Sayres, Rory
Publicado 2019

Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification

por L’Imperio, Vincenzo, Wulczyn, Ellery, Plass, Markus, Müller, Heimo, Tamini, Nicolò, Gianotti, Luca, Zucchini, Nicola, Reihs, Robert, Corrado, Greg S., Webster, Dale R., Peng, Lily H., Chen, Po-Hsuan Cameron, Lavitrano, Marialuisa, Liu, Yun, Steiner, David F., Zatloukal, Kurt, Pagni, Fabio
Publicado 2023

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

por Varadarajan, Avinash V., Bavishi, Pinal, Ruamviboonsuk, Paisan, Chotcomwongse, Peranut, Venugopalan, Subhashini, Narayanaswamy, Arunachalam, Cuadros, Jorge, Kanai, Kuniyoshi, Bresnick, George, Tadarati, Mongkol, Silpa-archa, Sukhum, Limwattanayingyong, Jirawut, Nganthavee, Variya, Ledsam, Joseph R., Keane, Pearse A., Corrado, Greg S., Peng, Lily, Webster, Dale R.
Publicado 2020

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders

por Limwattanayingyong, Jirawut, Nganthavee, Variya, Seresirikachorn, Kasem, Singalavanija, Tassapol, Soonthornworasiri, Ngamphol, Ruamviboonsuk, Varis, Rao, Chetan, Raman, Rajiv, Grzybowski, Andrzej, Schaekermann, Mike, Peng, Lily H., Webster, Dale R., Semturs, Christopher, Krause, Jonathan, Sayres, Rory, Hersch, Fred, Tiwari, Richa, Liu, Yun, Ruamviboonsuk, Paisan
Publicado 2020

Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices

por Jain, Ayush, Way, David, Gupta, Vishakha, Gao, Yi, de Oliveira Marinho, Guilherme, Hartford, Jay, Sayres, Rory, Kanada, Kimberly, Eng, Clara, Nagpal, Kunal, DeSalvo, Karen B., Corrado, Greg S., Peng, Lily, Webster, Dale R., Dunn, R. Carter, Coz, David, Huang, Susan J., Liu, Yun, Bui, Peggy, Liu, Yuan
Publicado 2021

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program

por Ruamviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut, Sayres, Rory, Raman, Rajiv, Widner, Kasumi, Campana, Bilson J. L., Phene, Sonia, Hemarat, Kornwipa, Tadarati, Mongkol, Silpa-Archa, Sukhum, Limwattanayingyong, Jirawut, Rao, Chetan, Kuruvilla, Oscar, Jung, Jesse, Tan, Jeffrey, Orprayoon, Surapong, Kangwanwongpaisan, Chawawat, Sukumalpaiboon, Ramase, Luengchaichawang, Chainarong, Fuangkaew, Jitumporn, Kongsap, Pipat, Chualinpha, Lamyong, Saree, Sarawuth, Kawinpanitan, Srirut, Mitvongsa, Korntip, Lawanasakol, Siriporn, Thepchatri, Chaiyasit, Wongpichedchai, Lalita, Corrado, Greg S., Peng, Lily, Webster, Dale R.
Publicado 2019

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program

por Ruamviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut, Sayres, Rory, Raman, Rajiv, Widner, Kasumi, Campana, Bilson J. L., Phene, Sonia, Hemarat, Kornwipa, Tadarati, Mongkol, Silpa-Archa, Sukhum, Limwattanayingyong, Jirawut, Rao, Chetan, Kuruvilla, Oscar, Jung, Jesse, Tan, Jeffrey, Orprayoon, Surapong, Kangwanwongpaisan, Chawawat, Sukumalpaiboon, Ramase, Luengchaichawang, Chainarong, Fuangkaew, Jitumporn, Kongsap, Pipat, Chualinpha, Lamyong, Saree, Sarawuth, Kawinpanitan, Srirut, Mitvongsa, Korntip, Lawanasakol, Siriporn, Thepchatri, Chaiyasit, Wongpichedchai, Lalita, Corrado, Greg S., Peng, Lily, Webster, Dale R.
Publicado 2019