Articles with public access mandates - Pouria RouzrokhLearn more
Not available anywhere: 1
Getting more out of large databases and EHRs with natural language processing and artificial intelligence: the future is here
B Khosravi, P Rouzrokh, BJ Erickson
JBJS 104 (Suppl 3), 51-55, 2022
Mandates: US National Institutes of Health
Available somewhere: 11
A deep learning tool for automated radiographic measurement of acetabular component inclination and version after total hip arthroplasty
P Rouzrokh, CC Wyles, KA Philbrick, T Ramazanian, AD Weston, JC Cai, ...
The Journal of arthroplasty 36 (7), 2510-2517. e6, 2021
Mandates: US National Institutes of Health
Deep learning artificial intelligence model for assessment of hip dislocation risk following primary total hip arthroplasty from postoperative radiographs
P Rouzrokh, T Ramazanian, CC Wyles, KA Philbrick, JC Cai, MJ Taunton, ...
The Journal of arthroplasty 36 (6), 2197-2203. e3, 2021
Mandates: US National Institutes of Health
Applying deep learning to establish a total hip arthroplasty radiography registry: a stepwise approach
P Rouzrokh, B Khosravi, QJ Johnson, S Faghani, DVV Garcia, ...
JBJS 104 (18), 1649-1658, 2022
Mandates: US National Institutes of Health
Patient-specific hip arthroplasty dislocation risk calculator: an explainable multimodal machine learning–based approach
B Khosravi, P Rouzrokh, H Maradit Kremers, DR Larson, QJ Johnson, ...
Radiology: Artificial Intelligence 4 (6), e220067, 2022
Mandates: US National Institutes of Health
Distribution and correlates of hip-knee-ankle angle in early osteoarthritis and preoperative total knee arthroplasty patients
T Ramazanian, S Yan, P Rouzrokh, CC Wyles, TJO Byrne, MJ Taunton, ...
The Journal of arthroplasty 37 (6), S170-S175, 2022
Mandates: US National Institutes of Health
Deep learning for radiographic measurement of femoral component subsidence following total hip arthroplasty
P Rouzrokh, CC Wyles, SJ Kurian, T Ramazanian, JC Cai, Q Huang, ...
Radiology: Artificial Intelligence 4 (3), e210206, 2022
Mandates: US National Institutes of Health
Creating high fidelity synthetic pelvis radiographs using generative adversarial networks: unlocking the potential of deep learning models without patient privacy concerns
B Khosravi, P Rouzrokh, JP Mickley, S Faghani, AN Larson, HW Garner, ...
The Journal of Arthroplasty 38 (10), 2037-2043. e1, 2023
Mandates: US National Institutes of Health
Frank stinchfield award: creation of a patient-specific total hip arthroplasty periprosthetic fracture risk calculator
CC Wyles, H Maradit-Kremers, KM Fruth, DR Larson, B Khosravi, ...
The Journal of Arthroplasty 38 (7), S2-S10, 2023
Mandates: US National Institutes of Health
Synthetically enhanced: unveiling synthetic data's potential in medical imaging research
B Khosravi, F Li, T Dapamede, P Rouzrokh, CU Gamble, HM Trivedi, ...
EBioMedicine 104, 2024
Mandates: Robert Wood Johnson Foundation
The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications
C Constant, CE Aubin, HM Kremers, DVV Garcia, CC Wyles, P Rouzrokh, ...
North American Spine Society Journal (NASSJ) 15, 100236, 2023
Mandates: US National Institutes of Health, Natural Sciences and Engineering Research …
Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review
B Khosravi, P Rouzrokh, S Faghani, M Moassefi, S Vahdati, E Mahmoudi, ...
Diagnostics 12 (10), 2512, 2022
Mandates: US National Institutes of Health
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