Nabile Safdar

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Paul G NagyJohns Hopkins UniversityAdresse e-mail validée de jhmi.edu
Khan M. Siddiqui, MDProfessor of Radiology, Johns Hopkins UniversityAdresse e-mail validée de jhmi.edu
Carlos Sánchez MendozaHead of Artificial IntelligenceAdresse e-mail validée de letsenhance.io
Matthew B. MorganDepartment of Radiology and Imaging Science, University of UtahAdresse e-mail validée de hsc.utah.edu
Ganesh SaiprasadAdresse e-mail validée de medtronic.com
Raymond SzeProfessor of Radiology & Pediatrics, George Washington UniversityAdresse e-mail validée de cnmc.org
Aaron D MartinLSUHSC- Children's Hospital New OrleansAdresse e-mail validée de lsuhsc.edu
Reza MonfarediAssociate professor, Children's National Medical Center and George Washington UniversityAdresse e-mail validée de cnmc.org
Kevin ClearyTechnical Director, Bioengineering, Children's National Health SystemAdresse e-mail validée de childrensnational.org
Paras LakhaniAssociate Professor of Radiology, Thomas Jefferson UniversityAdresse e-mail validée de jefferson.edu
Anthony SandlerChildren's nationalAdresse e-mail validée de cnmc.org
Qian ZhaoAdresse e-mail validée de jhu.edu
Axel KriegerAssistant Professor, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Stanley Thomas FrickeOral Roberts, North Park, Massachusetts Institute of Technology, Wayne State University, GeorgetownAdresse e-mail validée de alum.mit.edu
Bradley J EricksonProfessor of Radiology, Mayo ClinicAdresse e-mail validée de mayo.edu
Anthony FotenosLead Medical Officer, Division of Medical Imaging and Radiation Medicine, FDAAdresse e-mail validée de fda.hhs.gov
Adam FlandersThomas Jefferson UniversityAdresse e-mail validée de jefferson.edu
F. Jacob SeagullUniversity of MichiganAdresse e-mail validée de umich.edu
Jonathan S. Lewin, MD, FACRFormer Executive Vice President, Health Affairs, Emory UniversityAdresse e-mail validée de emory.edu
Krishna JuluruFDA, Digital Health Center of Excellence

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Nabile Safdar

Emory University

Adresse e-mail validée de emory.edu


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Ethics of artificial intelligence in radiology: Summary of the joint European and North American multisociety statement J Raymond Geis, AP Brady, CC Wu, J Spencer, E Ranschaert, ... Radiology 293 (2), 436-440, 2019	548	2019
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement JR Geis, AP Brady, CC Wu, J Spencer, E Ranshaert, JL Jaremko, ... Radiology, 191586, 2019	548	2019
Ethical considerations in artificial intelligence NM Safdar, JD Banja, CC Meltzer European journal of radiology 122, 108768, 2020	239	2020
Protecting your patients’ interests in the era of big data, artificial intelligence, and predictive analytics P Balthazar, P Harri, A Prater, NM Safdar Journal of the American College of Radiology 15 (3), 580-586, 2018	157	2018
ACR appropriateness criteria® suspected physical abuse—child SL Wootton-Gorges, BP Soares, AL Alazraki, SA Anupindi, JP Blount, ... Journal of the American College of Radiology 14 (5), S338-S349, 2017	154	2017
AI pitfalls and what not to do: mitigating bias in AI JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ... The British Journal of Radiology 96 (1150), 20230023, 2023	120	2023
Personalized assessment of craniosynostosis via statistical shape modeling CS Mendoza, N Safdar, K Okada, E Myers, GF Rogers, MG Linguraru Medical Image Analysis 18 (4), 635-646, 2014	117	2014
ACR appropriateness criteria® suspected appendicitis-child GC Koberlein, AT Trout, CK Rigsby, RS Iyer, AL Alazraki, SA Anupindi, ... Journal of the American College of Radiology 16 (5), S252-S263, 2019	83	2019
ACR appropriateness criteria® urinary tract infection—child BK Karmazyn, AL Alazraki, SA Anupindi, ME Dempsey, JR Dillman, ... Journal of the American College of Radiology 14 (5), S362-S371, 2017	77	2017
The state of radiology AI: considerations for purchase decisions and current market offerings Y Tadavarthi, B Vey, E Krupinski, A Prater, J Gichoya, N Safdar, H Trivedi Radiology: Artificial Intelligence 2 (6), e200004, 2020	70	2020
Virtual and augmented reality: potential applications in radiology M Elsayed, N Kadom, C Ghobadi, B Strauss, O Al Dandan, A Aggarwal, ... Acta Radiologica 61 (9), 1258-1265, 2020	61	2020
Quantitative Ultrasound Imaging of Obstructive Severity in Pediatric Hydronephrosis JJ Cerrolaza, CA Peters, AD Martin, E Myers, N Safdar, MG Linguraru The Journal of Urology, 2015	55*	2015
Transcervical ultrasonography in the diagnosis of pediatric peritonsillar abscess MT Fordham, AN Rock, A Bandarkar, D Preciado, M Levy, J Cohen, ... The Laryngoscope 125 (12), 2799-2804, 2015	49	2015
What’s in a name? Accurately diagnosing metopic craniosynostosis using a computational approach BC Wood, CS Mendoza, AK Oh, E Myers, N Safdar, MG Linguraru, ... Plastic and reconstructive surgery 137 (1), 205-213, 2016	45	2016
MRI quantitation of abdominal skeletal muscle correlates with CT-based analysis: implications for sarcopenia measurement AI Khan, DA Reiter, A Sekhar, P Sharma, NM Safdar, DH Patil, SP Psutka, ... Applied Physiology, Nutrition, and Metabolism 44 (8), 814-819, 2019	42	2019
Quality control management and communication between radiologists and technologists PG Nagy, B Pierce, M Otto, NM Safdar Journal of the American College of Radiology 5 (6), 759-765, 2008	39	2008
A prototype body-mounted MRI-compatible robot for needle guidance in shoulder arthrography R Monfaredi, R Seifabadi, I Iordachita, R Sze, NM Safdar, K Sharma, ... 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and …, 2014	38	2014
Building virtual communities of practice P Nagy, CE Kahn, W Boonn, K Siddiqui, C Meenan, N Knight, N Safdar Journal of the American College of Radiology 3 (9), 716-720, 2006	38	2006
Renal segmentation from 3D ultrasound via fuzzy appearance models and patient-specific alpha shapes JJ Cerrolaza, N Safdar, E Biggs, J Jago, CA Peters, MG Linguraru IEEE transactions on medical imaging 35 (11), 2393-2402, 2016	37	2016
Overview of noninterpretive artificial intelligence models for safety, quality, workflow, and education applications in radiology practice Y Tadavarthi, V Makeeva, W Wagstaff, H Zhan, A Podlasek, N Bhatia, ... Radiology: Artificial Intelligence 4 (2), e210114, 2022	29	2022

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