| Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann PLoS medicine 15 (11), e1002683, 2018 | 1460 | 2018 |
| Automated deep-neural-network surveillance of cranial images for acute neurologic events JJ Titano, M Badgeley, J Schefflein, M Pain, A Su, M Cai, N Swinburne, ... Nature Medicine 2018, 2018 | 441 | 2018 |
| Deep learning predicts hip fracture using confounding patient and healthcare variables MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... NPJ digital medicine 2 (1), 31, 2019 | 237 | 2019 |
| An attention based deep learning model of clinical events in the intensive care unit DA Kaji, JR Zech, JS Kim, SK Cho, NS Dangayach, AB Costa, ... PloS one 14 (2), e0211057, 2019 | 230 | 2019 |
| Natural language–based machine learning models for the annotation of clinical radiology reports J Zech, M Pain, J Titano, M Badgeley, J Schefflein, A Su, A Costa, ... Radiology 287 (2), 570-580, 2018 | 171 | 2018 |
| Confounding variables can degrade generalization performance of radiological deep learning models JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann arXiv preprint arXiv:1807.00431, 2018 | 108 | 2018 |
| Bethany Percha, Thomas M Snyder, and Joel T Dudley MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... Deep learning predicts hip fracture using confounding patient and healthcare …, 2019 | 44 | 2019 |
| Identifying homelessness using health information exchange data J Zech, G Husk, T Moore, GJ Kuperman, JS Shapiro Journal of the American Medical Informatics Association 22 (3), 682-687, 2015 | 32 | 2015 |
| Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the AJR Special Series on AI … JR Zech, SM Santomartino, PH Yi American Journal of Roentgenology 219 (6), 869-878, 2022 | 28 | 2022 |
| Detecting pediatric wrist fractures using deep-learning-based object detection JR Zech, G Carotenuto, Z Igbinoba, CV Tran, E Insley, A Baccarella, ... Pediatric Radiology 53 (6), 1125-1134, 2023 | 21 | 2023 |
| Safety and outcomes of transradial access in patients with international normalized ratio 1.5 or above JJ Titano, DM Biederman, J Zech, R Korff, M Ranade, R Patel, E Kim, ... Journal of Vascular and Interventional Radiology 29 (3), 383-388, 2018 | 20 | 2018 |
| Combination of active transfer learning and natural language processing to improve liver volumetry using surrogate metrics with deep learning B Marinelli, M Kang, M Martini, JR Zech, J Titano, S Cho, AB Costa, ... Radiology: Artificial Intelligence 1 (1), e180019, 2019 | 19 | 2019 |
| Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models J Zech, J Forde, JJ Titano, D Kaji, A Costa, EK Oermann Annals of translational medicine 7 (11), 2019 | 15 | 2019 |
| Measuring the degree of unmatched patient records in a health information exchange using exact matching J Zech, G Husk, T Moore, JS Shapiro Applied clinical informatics 7 (02), 330-340, 2016 | 15 | 2016 |
| Visceral adiposity independently predicts time to flare in inflammatory bowel disease but body mass index does not P Sehgal, S Su, J Zech, Y Nobel, L Luk, I Economou, B Shen, JD Lewis, ... Inflammatory Bowel Diseases 30 (4), 594-601, 2024 | 12 | 2024 |
| Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs JR Zech, D Jaramillo, J Altosaar, CA Popkin, TT Wong Pediatric Radiology 53 (12), 2386-2397, 2023 | 9 | 2023 |
| CANDI: an R package and Shiny app for annotating radiographs and evaluating Computer-Aided Diagnosis MA Badgeley, M Liu, BS Glicksberg, M Shervey, J Zech, K Shameer, ... Bioinformatics, 2018 | 8 | 2018 |
| Confounding variables can degrade generalization performance of radiological deep learning models. arXiv [csCV]. 2018 JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann | 8 | 1807 |
| Risk stratification for hydronephrosis in the evaluation of acute kidney injury: a cross-sectional analysis SL Tummalapalli, JR Zech, HJ Cho, C Goetz BMJ open 11 (8), e046761, 2021 | 6 | 2021 |
| Identifying factors important to patients for resuming elective imaging during the COVID-19 pandemic G Carotenuto, A Brewer-Hofmann, JR Zech, S Sajjad, ZN Bekheet, ... Journal of the American College of Radiology 18 (4), 590-600, 2021 | 5 | 2021 |
