| 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 | 1289 | 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 | 402 | 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 | 218 | 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 | 199 | 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 | 162 | 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 | 99 | 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 | 38 | 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 | 30 | 2015 |
| 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 | 18 | 2019 |
| 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 | 18 | 2018 |
| 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 | 16 | 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 | 12 | 2023 |
| 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 | 12 | 2016 |
| 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 | 11 | 2019 |
| 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 | 7 | 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 | 7 | 1807 |
| 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 | 6 | 2024 |
| 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 |
| Individual predictions matter: Assessing the effect of data ordering in training fine-tuned cnns for medical imaging JR Zech, JZ Forde, ML Littman arXiv preprint arXiv:1912.03606, 2019 | 4 | 2019 |
| Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: AJR Expert Panel Narrative Review PH Yi, HW Garner, A Hirschmann, JA Jacobson, P Omoumi, K Oh, ... American Journal of Roentgenology 222 (2), e2329530, 2024 | 3 | 2024 |
