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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, Melissa A ; Chute, Christopher G ; Bennett, Tellen D ; Eichmann, David A ; Guinney, Justin ; Kibbe, Warren A ; Payne, Philip R O ; Pfaff, Emily R ; Robinson, Peter N ; Saltz, Joel H ; Spratt, Heidi ; Suver, Christine ; Wilbanks, John ; Wilcox, Adam B ; Williams, Andrew E ; Wu, Chunlei ; Blacketer, Clair ; Bradford, Robert L ; Cimino, James J ; Clark, Marshall ; Colmenares, Evan W ; Francis, Patricia A ; Gabriel, Davera ; Graves, Alexis ; Hemadri, Raju ; Hong, Stephanie S ; Hripscak, George ; Jiao, Dazhi ; Klann, Jeffrey G ; Kostka, Kristin ; Lee, Adam M ; Lehmann, Harold P ; Lingrey, Lora ; Miller, Robert T ; Morris, Michele ; Murphy, Shawn N ; Natarajan, Karthik ; Palchuk, Matvey B ; Sheikh, Usman ; Solbrig, Harold ; Visweswaran, Shyam ; Walden, Anita ; Walters, Kellie M ; Weber, Griffin M ; Zhang, Xiaohan Tanner ; Zhu, Richard L ; Amor, Benjamin ; Girvin, Andrew T ; Manna, Amin ; Qureshi, Nabeel ; Kurilla, Michael G ; Michael, Sam G ; Portilla, Lili M ; Rutter, Joni L ; Austin, Christopher P ; Gersing, Ken R

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.427-443 [Periódico revisado por pares]

England: Oxford University Press

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Blockchain distributed ledger technologies for biomedical and health care applications
Blockchain distributed ledger technologies for biomedical and health care applications
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Blockchain distributed ledger technologies for biomedical and health care applications

Kuo, Tsung-Ting ; Kim, Hyeon-Eui ; Ohno-Machado, Lucila

Journal of the American Medical Informatics Association : JAMIA, 2017-11, Vol.24 (6), p.1211-1220 [Periódico revisado por pares]

England: Oxford University Press

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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
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 [Periódico revisado por pares]

England: Oxford University Press

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Attention gated networks: Learning to leverage salient regions in medical images
Attention gated networks: Learning to leverage salient regions in medical images
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Attention gated networks: Learning to leverage salient regions in medical images

Schlemper, Jo ; Oktay, Ozan ; Schaap, Michiel ; Heinrich, Mattias ; Kainz, Bernhard ; Glocker, Ben ; Rueckert, Daniel

Medical image analysis, 2019-04, Vol.53, p.197-207 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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5
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Setio, Arnaud Arindra Adiyoso ; Traverso, Alberto ; de Bel, Thomas ; Berens, Moira S.N. ; Bogaard, Cas van den ; Cerello, Piergiorgio ; Chen, Hao ; Dou, Qi ; Fantacci, Maria Evelina ; Geurts, Bram ; Gugten, Robbert van der ; Heng, Pheng Ann ; Jansen, Bart ; de Kaste, Michael M.J. ; Kotov, Valentin ; Lin, Jack Yu-Hung ; Manders, Jeroen T.M.C. ; Sóñora-Mengana, Alexander ; García-Naranjo, Juan Carlos ; Papavasileiou, Evgenia ; Prokop, Mathias ; Saletta, Marco ; Schaefer-Prokop, Cornelia M ; Scholten, Ernst T. ; Scholten, Luuk ; Snoeren, Miranda M. ; Torres, Ernesto Lopez ; Vandemeulebroucke, Jef ; Walasek, Nicole ; Zuidhof, Guido C.A. ; Ginneken, Bram van ; Jacobs, Colin

Medical image analysis, 2017-12, Vol.42, p.1-13 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
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Deep neural network models for computational histopathology: A survey

Srinidhi, Chetan L. ; Ciga, Ozan ; Martel, Anne L.

Medical image analysis, 2021-01, Vol.67, p.101813-101813, Article 101813 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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7
A deep learning framework for unsupervised affine and deformable image registration
A deep learning framework for unsupervised affine and deformable image registration
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A deep learning framework for unsupervised affine and deformable image registration

de Vos, Bob D. ; Berendsen, Floris F. ; Viergever, Max A. ; Sokooti, Hessam ; Staring, Marius ; Išgum, Ivana

Medical image analysis, 2019-02, Vol.52, p.128-143 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
Transformers in medical imaging: A survey
Transformers in medical imaging: A survey
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Transformers in medical imaging: A survey

Shamshad, Fahad ; Khan, Salman ; Zamir, Syed Waqas ; Khan, Muhammad Haris ; Hayat, Munawar ; Khan, Fahad Shahbaz ; Fu, Huazhu

Medical image analysis, 2023-08, Vol.88, p.102802-102802, Article 102802 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Generative adversarial network in medical imaging: A review
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 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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10
Distributed deep learning networks among institutions for medical imaging
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 [Periódico revisado por pares]

England: Oxford University Press

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