| Network analysis of intrinsic functional brain connectivity in Alzheimer's disease K Supekar, V Menon, D Rubin, M Musen, MD Greicius PLoS computational biology 4 (6), e1000100, 2008 | 1355 | 2008 |
| BioPortal: ontologies and integrated data resources at the click of a mouse NF Noy, NH Shah, PL Whetzel, B Dai, M Dorf, N Griffith, C Jonquet, ... Nucleic acids research 37 (suppl_2), W170-W173, 2009 | 1140 | 2009 |
| Deep learning for brain MRI segmentation: state of the art and future directions Z Akkus, A Galimzianova, A Hoogi, DL Rubin, BJ Erickson Journal of digital imaging 30, 449-459, 2017 | 1111 | 2017 |
| Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features KH Yu, C Zhang, GJ Berry, RB Altman, C Ré, DL Rubin, M Snyder Nature communications 7 (1), 12474, 2016 | 943 | 2016 |
| Preparing medical imaging data for machine learning MJ Willemink, WA Koszek, C Hardell, J Wu, D Fleischmann, H Harvey, ... Radiology 295 (1), 4-15, 2020 | 711 | 2020 |
| A curated mammography data set for use in computer-aided detection and diagnosis research RS Lee, F Gimenez, A Hoogi, KK Miyake, M Gorovoy, DL Rubin Scientific data 4 (1), 1-9, 2017 | 635 | 2017 |
| PharmGKB: the pharmacogenetics knowledge base M Hewett, DE Oliver, DL Rubin, KL Easton, JM Stuart, RB Altman, ... Nucleic acids research 30 (1), 163-165, 2002 | 507 | 2002 |
| Integrating genotype and phenotype information: an overview of the PharmGKB project TE Klein, JT Chang, MK Cho, KL Easton, R Fergerson, M Hewett, Z Lin, ... The pharmacogenomics journal 1 (3), 167-170, 2001 | 505 | 2001 |
| Content-based image retrieval in radiology: current status and future directions CB Akgül, DL Rubin, S Napel, CF Beaulieu, H Greenspan, B Acar Journal of digital imaging 24, 208-222, 2011 | 502 | 2011 |
| Non–small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data—methods and preliminary results O Gevaert, J Xu, CD Hoang, AN Leung, Y Xu, A Quon, DL Rubin, S Napel, ... Radiology 264 (2), 387-396, 2012 | 449 | 2012 |
| MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set DA Gutman, LAD Cooper, SN Hwang, CA Holder, JJ Gao, TD Aurora, ... Radiology 267 (2), 560-569, 2013 | 446 | 2013 |
| Differential data augmentation techniques for medical imaging classification tasks Z Hussain, F Gimenez, D Yi, D Rubin AMIA annual symposium proceedings 2017, 979, 2017 | 434 | 2017 |
| The ACR BI-RADS® experience: learning from history ES Burnside, EA Sickles, LW Bassett, DL Rubin, CH Lee, DM Ikeda, ... Journal of the American College of Radiology 6 (12), 851-860, 2009 | 388 | 2009 |
| Biomedical ontologies: a functional perspective DL Rubin, NH Shah, NF Noy Briefings in bioinformatics 9 (1), 75-90, 2008 | 371 | 2008 |
| Distributed deep learning networks among institutions for medical imaging K Chang, N Balachandar, C Lam, D Yi, J Brown, A Beers, B Rosen, ... Journal of the American Medical Informatics Association 25 (8), 945-954, 2018 | 322 | 2018 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 319 | 2020 |
| Deep learning in neuroradiology G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz American Journal of Neuroradiology 39 (10), 1776-1784, 2018 | 317 | 2018 |
| Automated grading of gliomas using deep learning in digital pathology images: a modular approach with ensemble of convolutional neural networks MG Ertosun, DL Rubin AMIA annual symposium proceedings 2015, 1899, 2015 | 299 | 2015 |
| A randomized study of temozolomide or temozolomide and capecitabine in patients with advanced pancreatic neuroendocrine tumors: A trial of the ECOG-ACRIN Cancer Research Group … PL Kunz, PJ Catalano, H Nimeiri, GA Fisher, TA Longacre, CJ Suarez, ... Journal of Clinical Oncology 36 (15_suppl), 4004-4004, 2018 | 286* | 2018 |
| Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities H Itakura, AS Achrol, LA Mitchell, JJ Loya, T Liu, EM Westbroek, ... Science translational medicine 7 (303), 303ra138-303ra138, 2015 | 279 | 2015 |
