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收藏Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans
Avram, Oren; Durmus, Berkin; Rakocz, Nadav; Corradetti, Giulia; An, Ulzee; Nittala, Muneeswar G.; Terway, Prerit; Rudas, Akos; Chen, Zeyuan Johnson; Wakatsuki, Yu; Hirabayashi, Kazutaka; Velaga, Swetha; Tiosano, Liran; Corvi, Federico; Verma, Aditya; Karamat, Ayesha; Lindenberg, Sophiana; Oncel, Deniz; Almidani, Louay; Hull, Victoria; Fasih-Ahmad, Sohaib; Esmaeilkhanian, Houri; Cannesson, Maxime; Wykoff, Charles C.; Rahmani, Elior; Arnold, Corey W.; Zhou, Bolei; Zaitlen, Noah; Gronau, Ilan; Sankararaman, Sriram; Chiang, Jeffrey N.; Sadda, Srinivas R.; Halperin, Eran 分享 收藏 Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveriesAn, Ulzee; Pazokitoroudi, Ali; Alvarez, Marcus; Huang, Lianyun; Bacanu, Silviu; Schork, Andrew J.; Kendler, Kenneth; Pajukanta, Paeivi; Flint, Jonathan; Zaitlen, Noah; Cai, Na; Dahl, Andy; Sankararaman, Sriram 分享 收藏 Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder表型整合在基于生物库的重性抑郁症遗传研究中提高了能力并保留了特异性Dahl, Andrew; Thompson, Michael; An, Ulzee; Krebs, Morten; Appadurai, Vivek; Border, Richard; Bacanu, Silviu-Alin; Werge, Thomas; Flint, Jonathan; Schork, Andrew J.; Sankararaman, Sriram; Kendler, Kenneth S.; Cai, Na 分享 收藏 分享 收藏 
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