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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Kavur, A. Emre ; Gezer, N. Sinem ; Barış, Mustafa ; Aslan, Sinem ; Conze, Pierre-Henri ; Groza, Vladimir ; Pham, Duc Duy ; Chatterjee, Soumick ; Ernst, Philipp ; Özkan, Savaş ; Baydar, Bora ; Lachinov, Dmitry ; Han, Shuo ; Pauli, Josef ; Isensee, Fabian ; Perkonigg, Matthias ; Sathish, Rachana ; Rajan, Ronnie ; Sheet, Debdoot ; Dovletov, Gurbandurdy ; Speck, Oliver ; Nürnberger, Andreas ; Maier-Hein, Klaus H. ; Bozdağı Akar, Gözde ; Ünal, Gözde ; Dicle, Oğuz ; Selver, M. Alper

Medical image analysis, 2021-04, Vol.69, p.101950-101950, Article 101950 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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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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3
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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4
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Lee, Jinhyuk ; Yoon, Wonjin ; Kim, Sungdong ; Kim, Donghyeon ; Kim, Sunkyu ; So, Chan Ho ; Kang, Jaewoo Wren, Jonathan

Bioinformatics, 2020-02, Vol.36 (4), p.1234-1240 [Periódico revisado por pares]

England: Oxford University Press

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5
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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6
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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7
Surgical data science – from concepts toward clinical translation
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 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
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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9
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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10
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
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RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

Kozlov, Alexey M ; Darriba, Diego ; Flouri, Tomáš ; Morel, Benoit ; Stamatakis, Alexandros Wren, Jonathan

Bioinformatics, 2019-11, Vol.35 (21), p.4453-4455 [Periódico revisado por pares]

England: Oxford University Press

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