Safwan S. Halabi, M.D.
Safwan S. Halabi, M.D.
Associate Professor of Radiology, Northwestern University Feinberg School of Medicine
Verified email at - Homepage
Cited by
Cited by
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019
Systematic literature review of imaging features of spinal degeneration in asymptomatic populations
W Brinjikji, PH Luetmer, B Comstock, BW Bresnahan, LE Chen, RA Deyo, ...
American journal of neuroradiology 36 (4), 811-816, 2015
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLoS medicine 15 (11), e1002686, 2018
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLoS medicine 15 (11), e1002699, 2018
Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs
DB Larson, MC Chen, MP Lungren, SS Halabi, NV Stence, CP Langlotz
Radiology 287 (1), 313-322, 2018
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498-503, 2019
Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
G Shih, CC Wu, SS Halabi, MD Kohli, LM Prevedello, TS Cook, A Sharma, ...
Radiology: Artificial Intelligence 1 (1), e180041, 2019
Deep learning–assisted diagnosis of cerebral aneurysms using the HeadXNet model
A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ...
JAMA network open 2 (6), e195600-e195600, 2019
Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
AE Flanders, LM Prevedello, G Shih, SS Halabi, J Kalpathy-Cramer, ...
Radiology: Artificial Intelligence 2 (3), e190211, 2020
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
NPJ digital medicine 2 (1), 111, 2019
Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions
LM Prevedello, SS Halabi, G Shih, CC Wu, MD Kohli, FH Chokshi, ...
Radiology: Artificial Intelligence 1 (1), e180031, 2019
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures
H Wang, L Wang, EH Lee, J Zheng, W Zhang, S Halabi, C Liu, K Deng, ...
European journal of nuclear medicine and molecular imaging 48, 1478-1486, 2021
The RSNA pulmonary embolism CT dataset
E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ...
Radiology: Artificial Intelligence 3 (2), e200254, 2021
Artificial swarm intelligence employed to amplify diagnostic accuracy in radiology
L Rosenberg, M Lungren, S Halabi, G Willcox, D Baltaxe, M Lyons
2018 IEEE 9th annual information technology, electronics and mobile …, 2018
Artificial intelligence algorithm improves radiologist performance in skeletal age assessment: a prospective multicenter randomized controlled trial
DK Eng, NB Khandwala, J Long, NR Fefferman, SV Lala, NA Strubel, ...
Radiology 301 (3), 692-699, 2021
Data science: big data, machine learning, and artificial intelligence
RC Carlos, CE Kahn, S Halabi
Journal of the American College of Radiology 15 (3), 497-498, 2018
Improving automated pediatric bone age estimation using ensembles of models from the 2017 RSNA machine learning challenge
I Pan, HH Thodberg, SS Halabi, J Kalpathy-Cramer, DB Larson
Radiology: Artificial Intelligence 1 (6), e190053, 2019
Lumbar Imaging With Reporting Of Epidemiology (LIRE)—protocol for a pragmatic cluster randomized trial
JG Jarvik, BA Comstock, KT James, AL Avins, BW Bresnahan, RA Deyo, ...
Contemporary clinical trials 45, 157-163, 2015
The effect of clinical decision support for advanced inpatient imaging
AK Moriarity, C Klochko, M O'Brien, S Halabi
Journal of the American College of Radiology 12 (4), 358-363, 2015
Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis
EJ Zucker, ZA Barnes, MP Lungren, Y Shpanskaya, JM Seekins, ...
Journal of Cystic Fibrosis 19 (1), 131-138, 2020
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