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Search Results - Phene, Sonia
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Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
by
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.
Published in
NPJ digital medicine
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Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
by
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.
Published in
NPJ digital medicine
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Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
by
Alipanahi, Babak
,
Hormozdiari, Farhad
,
Behsaz, Babak
,
Cosentino, Justin
,
McCaw, Zachary R.
,
Schorsch, Emanuel
,
Sculley, D.
,
Dorfman, Elizabeth H.
,
Foster, Paul J.
,
Peng, Lily H.
,
Phene, Sonia
,
Hammel, Naama
,
Carroll, Andrew
,
Khawaja, Anthony P.
,
McLean, Cory Y.
Published in
American journal of human genetics
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Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
by
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
Published in
NPJ digital medicine
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Article
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5
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Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
by
Hsu, Joy
,
Phene, Sonia
,
Mitani, Akinori
,
Luo, Jieying
,
Hammel, Naama
,
Krause, Jonathan
,
Sayres, Rory
Published in
arXiv.org
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Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photos
by
Phene, Sonia
,
R Carter Dunn
,
Hammel, Naama
,
Liu, Yun
,
Krause, Jonathan
,
Kitade, Naho
,
Schaekermann, Mike
,
Sayres, Rory
,
Wu, Derek J
,
Bora, Ashish
,
Semturs, Christopher
,
Misra, Anita
,
Huang, Abigail E
,
Spitze, Arielle
,
Medeiros, Felipe A
,
Maa, April Y
,
Gandhi, Monica
,
Corrado, Greg S
,
Peng, Lily
,
Webster, Dale R
Published in
arXiv.org
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7
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Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
by
Alipanahi, Babak
,
Hormozdiari, Farhad
,
Behsaz, Babak
,
Cosentino, Justin
,
McCaw, Zachary R
,
Schorsch, Emanuel
,
Sculley, D
,
Dorfman, Elizabeth H
,
Phene, Sonia
,
Hammel, Naama
,
Carroll, Andrew
,
Khawaja, Anthony P
,
McLean, Cory Y
Published in
arXiv.org
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Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
by
Raumviboonsuk, Paisan
,
Krause, Jonathan
,
Chotcomwongse, Peranut
,
Sayres, Rory
,
Raman, Rajiv
,
Widner, Kasumi
,
Campana, Bilson J L
,
Phene, Sonia
,
Hemarat, Kornwipa
,
Tadarati, Mongkol
,
Silpa-Acha, Sukhum
,
Limwattanayingyong, Jirawut
,
Rao, Chetan
,
Kuruvilla, Oscar
,
Jung, Jesse
,
Tan, Jeffrey
,
Orprayoon, Surapong
,
Kangwanwongpaisan, Chawawat
,
Sukulmalpaiboon, Ramase
,
Luengchaichawang, Chainarong
,
Fuangkaew, Jitumporn
,
Kongsap, Pipat
,
Chualinpha, Lamyong
,
Sarawuth Saree
,
Kawinpanitan, Srirat
,
Mitvongsa, Korntip
,
Lawanasakol, Siriporn
,
Thepchatri, Chaiyasit
,
Wongpichedchai, Lalita
,
Corrado, Greg S
,
Peng, Lily
,
Webster, Dale R
Published in
arXiv.org
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