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11
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Xiao, Cao ; Choi, Edward ; Sun, Jimeng

Journal of the American Medical Informatics Association : JAMIA, 2018-10, Vol.25 (10), p.1419-1428 [Peer Reviewed Journal]

England: Oxford University Press

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12
Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules
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Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

Lusci, Alessandro ; Pollastri, Gianluca ; Baldi, Pierre

Journal of chemical information and modeling, 2013-07, Vol.53 (7), p.1563-1575 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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13
Generative adversarial network in medical imaging: A review
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Generative adversarial network in medical imaging: A review

Yi, Xin ; Walia, Ekta ; Babyn, Paul

Medical image analysis, 2019-12, Vol.58, p.101552-101552, Article 101552 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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14
The Synthesizability of Molecules Proposed by Generative Models
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The Synthesizability of Molecules Proposed by Generative Models

Gao, Wenhao ; Coley, Connor W

Journal of chemical information and modeling, 2020-12, Vol.60 (12), p.5714-5723 [Peer Reviewed Journal]

United States: American Chemical Society

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15
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
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TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Pérez-García, Fernando ; Sparks, Rachel ; Ourselin, Sébastien

Computer methods and programs in biomedicine, 2021-09, Vol.208, p.106236-106236, Article 106236 [Peer Reviewed Journal]

Elsevier B.V

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16
Distributed deep learning networks among institutions for medical imaging
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Distributed deep learning networks among institutions for medical imaging

Chang, Ken ; Balachandar, Niranjan ; Lam, Carson ; Yi, Darvin ; Brown, James ; Beers, Andrew ; Rosen, Bruce ; Rubin, Daniel L ; Kalpathy-Cramer, Jayashree

Journal of the American Medical Informatics Association : JAMIA, 2018-08, Vol.25 (8), p.945-954 [Peer Reviewed Journal]

England: Oxford University Press

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17
Telehealth transformation: COVID-19 and the rise of virtual care
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Telehealth transformation: COVID-19 and the rise of virtual care

Wosik, Jedrek ; Fudim, Marat ; Cameron, Blake ; Gellad, Ziad F ; Cho, Alex ; Phinney, Donna ; Curtis, Simon ; Roman, Matthew ; Poon, Eric G ; Ferranti, Jeffrey ; Katz, Jason N ; Tcheng, James

Journal of the American Medical Informatics Association : JAMIA, 2020-06, Vol.27 (6), p.957-962 [Peer Reviewed Journal]

England: Oxford University Press

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18
Impact of the digital divide in the age of COVID-19
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Impact of the digital divide in the age of COVID-19

Ramsetty, Anita ; Adams, Cristin

Journal of the American Medical Informatics Association : JAMIA, 2020-07, Vol.27 (7), p.1147-1148 [Peer Reviewed Journal]

England: Oxford University Press

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19
Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance
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Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance

Chen, Jiahui ; Wang, Rui ; Gilby, Nancy Benovich ; Wei, Guo-Wei

Journal of chemical information and modeling, 2022-01, Vol.62 (2), p.412-422 [Peer Reviewed Journal]

United States: American Chemical Society

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20
Surgical data science – from concepts toward clinical translation
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Surgical data science – from concepts toward clinical translation

Maier-Hein, Lena ; Eisenmann, Matthias ; Sarikaya, Duygu ; März, Keno ; Collins, Toby ; Malpani, Anand ; Fallert, Johannes ; Feussner, Hubertus ; Giannarou, Stamatia ; Mascagni, Pietro ; Nakawala, Hirenkumar ; Park, Adrian ; Pugh, Carla ; Stoyanov, Danail ; Vedula, Swaroop S. ; Cleary, Kevin ; Fichtinger, Gabor ; Forestier, Germain ; Gibaud, Bernard ; Grantcharov, Teodor ; Hashizume, Makoto ; Heckmann-Nötzel, Doreen ; Kenngott, Hannes G. ; Kikinis, Ron ; Mündermann, Lars ; Navab, Nassir ; Onogur, Sinan ; Roß, Tobias ; Sznitman, Raphael ; Taylor, Russell H. ; Tizabi, Minu D. ; Wagner, Martin ; Hager, Gregory D. ; Neumuth, Thomas ; Padoy, Nicolas ; Collins, Justin ; Gockel, Ines ; Goedeke, Jan ; Hashimoto, Daniel A. ; Joyeux, Luc ; Lam, Kyle ; Leff, Daniel R. ; Madani, Amin ; Marcus, Hani J. ; Meireles, Ozanan ; Seitel, Alexander ; Teber, Dogu ; Ückert, Frank ; Müller-Stich, Beat P. ; Jannin, Pierre ; Speidel, Stefanie

Medical image analysis, 2022-02, Vol.76, p.102306-102306, Article 102306 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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