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John Zech
John Zech
New York Presbyterian - Columbia
Zweryfikowany adres z columbia.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
12382018
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
3962018
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
2132019
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
1852019
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
1642018
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
952018
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
362019
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
292015
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
182018
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
172019
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
122022
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
122016
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
102023
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
102019
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
72018
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
61807
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
52021
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
42021
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
32019
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
22024
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