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Daniel L Rubin

Showing results (171-180 of 261) with videos related to

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Nucleic Acids Research|December 26, 2001
PharmGKB: the Pharmacogenetics Knowledge BaseMicheal Hewett, Diane E Oliver, Daniel L Rubin, et al.
Medical Physics|May 3, 2014
Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studiesLior Weizman, Liat Ben Sira, Leo Joskowicz, et al.
BMJ Open|July 21, 2019
Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective studySelen Bozkurt, Kathleen M Kan, Michelle K Ferrari, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
Radiology|May 2, 2018
Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyJia Wu, Guohong Cao, Xiaoli Sun, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2016
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid UltrasoundKarim Lekadir, Alfiia Galimzianova, Angels Betriu, et al.
Tomography (Ann Arbor, Mich.)|August 12, 2017
Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging NetworkKeyvan Farahani, Jayashree Kalpathy-Cramer, Thomas L Chenevert, et al.
Radiology|January 27, 2007
Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancyElizabeth S Burnside, Jennifer E Ochsner, Kathryn J Fowler, et al.
Radiology|July 15, 2017
Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast CancerJia Wu, Bailiang Li, Xiaoli Sun, et al.
Radiology|September 1, 2009
Toward best practices in radiology reportingCharles E Kahn, Curtis P Langlotz, Elizabeth S Burnside, et al.
Pageof 27

Showing results (171-180 of 261) with videos related to

Sort By:
Pageof 27
Nucleic Acids Research|December 26, 2001
PharmGKB: the Pharmacogenetics Knowledge BaseMicheal Hewett, Diane E Oliver, Daniel L Rubin, et al.
Medical Physics|May 3, 2014
Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studiesLior Weizman, Liat Ben Sira, Leo Joskowicz, et al.
BMJ Open|July 21, 2019
Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective studySelen Bozkurt, Kathleen M Kan, Michelle K Ferrari, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
Radiology|May 2, 2018
Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyJia Wu, Guohong Cao, Xiaoli Sun, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2016
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid UltrasoundKarim Lekadir, Alfiia Galimzianova, Angels Betriu, et al.
Tomography (Ann Arbor, Mich.)|August 12, 2017
Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging NetworkKeyvan Farahani, Jayashree Kalpathy-Cramer, Thomas L Chenevert, et al.
Radiology|January 27, 2007
Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancyElizabeth S Burnside, Jennifer E Ochsner, Kathryn J Fowler, et al.
Radiology|July 15, 2017
Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast CancerJia Wu, Bailiang Li, Xiaoli Sun, et al.
Radiology|September 1, 2009
Toward best practices in radiology reportingCharles E Kahn, Curtis P Langlotz, Elizabeth S Burnside, et al.
Pageof 27