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Bardia Khosravi

University of Illinois System

21H指数
99论文数
1.4K被引数
收录论文 32
发表时间
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A deep learning model for opportunistic screening of chronic kidney disease using chest radiographs: a multicentre validation in the USA基于胸部放射图像的慢性肾病机会性筛查深度学习模型：美国多中心验证
errEClinicalMedicine
IF10
err2026-08-01
err0
PREAI
errDapamede, Theodorus; Aitcheson, Keana; Lagari, Pola Lydia; Farooq, Awais; Louis, Peter; Robichaux, Chad; Li, Frank; Khosravi, Bardia; Chavoshi, Mohammadreza; Mansuri, Aawez; Isaac, Rohan Satya; Brown-Mulry, Beatrice; Trivedi, Hari; Galanter, William; Pyrros, Ayis; Gichoya, Judy
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Granular Machine Learning-Based Computed Tomography Contrast Phase Prediction基于粒计算的机器学习计算机断层扫描对比相位预测
errMAYO CLINIC PROCEEDINGS: DIGITAL HEALTH
IF0
err2026-01-01
err0
errOAAI
errRassoulinejad-Mousavi, S. Moein; Khosravi, Bardia; Weston, Alex D.; Moerer, Ryan T.; Benites, Aaron E. Carretero; Garner, Hillary W.; Takahashi, Naoki; Kline, Timothy L.; Romero, Michael F.; Lieske, John C.; Erickson, Bradley J.
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Performance of Artificial Intelligence Models in Predicting Responsiveness of Hepatocellular Carcinoma to Transarterial Chemoembolization (TACE): A Systematic Review and Meta-Analysis人工智能模型在预测肝细胞癌对经动脉化疗栓塞术（TACE）反应性方面的性能：一项系统评价和Meta分析
errJournal of the American College of Radiology
IF5.1
err2025-08-30
err0
PREAI
errIman Kiani; Iman Razeghian; Parya Valizadeh; Yasmin Esmaeilian; Payam Jannatdoust; Bardia Khosravi
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Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions探索生成式人工智能在医学图像合成中的潜力：机遇、挑战与未来方向
errlancet digital health
IF0
err2025-08-14
err0
errOAAI
errBardia Khosravi; Saptarshi Purkayastha; Bradley J Erickson; Hari M Trivedi; Judy W Gichoya
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AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and DeploymentAI in Action: 拟由放射学人工智能委员会制定的用于有效模型评估和部署的路线图
errJournal of the American College of Radiology
IF5.1
err2025-05-23
err0
errOAAI
errHari Trivedi; Bardia Khosravi; Judy Gichoya; Laura Benson; Damian Dyckman; James Galt; Brian M. Howard; Elias G. Kikano; Jean Kunjummen; Neil Lall; Xiao T. Li; Sumir Patel; Nabile Safdar; Ninad Salastekar; Colin Segovis; Marly van Assen; Peter Harri
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A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis隐私保护大型语言模型在自动化超声心动图报告分析中的比较分析
errJOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
IF4.6
err2025-05-07
err0
errOAAI
errMahmoudi, Elham; Vahdati, Sanaz; Chao, Chieh-Ju; Khosravi, Bardia; Misra, Ajay; Lopez-Jimenez, Francisco; Erickson, Bradley J.
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A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations《生成式人工智能在医学中的应用：当前综述：核心概念、应用及当前局限性》
errCURRENT REVIEWS IN MUSCULOSKELETAL MEDICINE
IF3.9
err2025-04-30
err0
PREAI
errPouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Mana Moassefi; M. Moein Shariatnia; Parsa Rouzrokh; Bradley Erickson
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Exploring the Effect of Domain-Specific Transfer Learning for Thyroid Nodule Classification
errJOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
IF5.1
err2024-11-01
err0
PREAI
errVahdati, Sanaz; Khosravi, Bardia; Rouzrokh, Pouria; Erickson, Bradley J.
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A Multi-View Deep Learning Model for Thyroid Nodules Detection and Characterization in Ultrasound Imaging
errBIOENGINEERING-BASEL
IF3.7
err2024-06-25
err2
errOAAI
errVahdati, Sanaz; Khosravi, Bardia; Robinson, Kathryn A.; Rouzrokh, Pouria; Moassefi, Mana; Akkus, Zeynettin; Erickson, Bradley J.
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Synthetically enhanced: unveiling synthetic data's potential in medical imaging research综合增强: 揭示合成数据在医学影像研究中的潜力
errEBIOMEDICINE
IF10.8
err2024-06-01
err2
errOAAI
errKhosravi, Bardia; Li, Frank; Dapamede, Theo; Rouzrokh, Pouria; Gamble, Cooper U.; Trivedi, Hari M.; Wyles, Cody C.; Sellergren, Andrew B.; Purkayastha, Saptarshi; Erickson, Bradley J.; Gichoya, Judy W.
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THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification
errJOURNAL OF ARTHROPLASTY
IF3.8
err2024-04-01
err8
PREAI
errRouzrokh, Pouria; Mickley, John P.; Khosravi, Bardia; Faghani, Shahriar; Moasse, Mana; Schulz, William R.; Erickson, Bradley J.; Taunton, Michael J.; Wyles, Cody C.
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THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution
errJOURNAL OF ARTHROPLASTY
IF3.8
err2024-03-01
err7
PREAI
errRouzrokh, Primary Hip Pouria; Khosravi, Bardia; Mickley, John P.; Erickson, Bradley J.; Taunton, Michael J.; Wyles, Cody C.
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Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset
errMEDICAL PHYSICS
IF3.2
err2024-02-09
err2
errOAAI
errShiri, Isaac; Salimi, Yazdan; Sirjani, Nasim; Razeghi, Behrooz; Bagherieh, Sara; Pakbin, Masoumeh; Mansouri, Zahra; Hajianfar, Ghasem; Avval, Atlas Haddadi; Askari, Dariush; Ghasemian, Mohammadreza; Sandoughdaran, Saleh; Sohrabi, Ahmad; Sadati, Elham; Livani, Somayeh; Iranpour, Pooya; Kolahi, Shahriar; Khosravi, Bardia; Bijari, Salar; Sayfollahi, Sahar; Atashzar, Mohammad Reza; Hasanian, Mohammad; Shahhamzeh, Alireza; Teimouri, Arash; Goharpey, Neda; Shirzad-Aski, Hesamaddin; Karimi, Jalal; Radmard, Amir Reza; Rezaei-Kalantari, Kiara; Oghli, Mostafa Ghelich; Oveisi, Mehrdad; Vafaei Sadr, Alireza; Voloshynovskiy, Slava; Zaidi, Habib
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Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
errINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
IF2.5
err2024-02-01
err1
errOAAI
errShiri, Isaac; Salimi, Yazdan; Saberi, Abdollah; Pakbin, Masoumeh; Hajianfar, Ghasem; Avval, Atlas Haddadi; Sanaat, Amirhossein; Akhavanallaf, Azadeh; Mostafaei, Shayan; Mansouri, Zahra; Askari, Dariush; Ghasemian, Mohammadreza; Sharifipour, Ehsan; Sandoughdaran, Saleh; Sohrabi, Ahmad; Sadati, Elham; Livani, Somayeh; Iranpour, Pooya; Kolahi, Shahriar; Khosravi, Bardia; Khateri, Maziar; Bijari, Salar; Atashzar, Mohammad Reza; Shayesteh, Sajad P.; Babaei, Mohammad Reza; Jenabi, Elnaz; Hasanian, Mohammad; Shahhamzeh, Alireza; Ghomi, Seyed Yaser Foroghi; Mozafari, Abolfazl; Shirzad-Aski, Hesamaddin; Movaseghi, Fatemeh; Bozorgmehr, Rama; Goharpey, Neda; Abdollahi, Hamid; Geramifar, Parham; Radmard, Amir Reza; Arabi, Hossein; Rezaei-Kalantari, Kiara; Oveisi, Mehrdad; Rahmim, Arman; Zaidi, Habib
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FDA Review of Radiologic AI Algorithms: Process and Challenges
errRADIOLOGY
IF15.2
err2024-01-01
err2
PREAI
errZhang, Kuan; Khosravi, Bardia; Vahdati, Sanaz; Erickson, Bradley J.
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Few-shot biomedical image segmentation using diffusion models: Beyond image generation
errCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
IF4.8
err2023-12-01
err5
PREAI
errKhosravi, Bardia; Rouzrokh, Pouria; Mickley, John P.; Faghani, Shahriar; Mulford, Kellen; Yang, Linjun; Larson, A. Noelle; Howe, Benjamin M.; Erickson, Bradley J.; Taunton, Michael J.; Wyles, Cody C.
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Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns使用生成对抗网络创建高保真度合成骨盆射线照片: 释放深度学习模型的潜力，无需患者隐私问题
errJOURNAL OF ARTHROPLASTY
IF3.8
err2023-10-01
err17
errOAAI
errKhosravi, Bardia; Rouzrokh, Pouria; Mickley, John P.; Faghani, Shahriar; Larson, A. Noelle; Garner, Hillary W.; Howe, Benjamin M.; Erickson, Bradley J.; Taunton, Michael J.; Wyles, Cody C.
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Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data
errJOURNAL OF ARTHROPLASTY
IF3.8
err2023-10-01
err3
PREAI
errKhosravi, Bardia; Weston, Alexander D.; Nugen, Fred; Mickley, John P.; Kremers, Hilal Maradit; Wyles, Cody C.; Carter, Rickey E.; Taunton, Michael J.
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A Deep Learning Tool for Automated Landmark Annotation on Hip and Pelvis Radiographs用于在髋部和骨盆x光片上自动标记注释的深度学习工具
errJOURNAL OF ARTHROPLASTY
IF3.8
err2023-10-01
err7
PREAI
errMulford, Kellen L.; Johnson, Quinn J.; Mujahed, Tala; Khosravi, Bardia; Rouzrokh, Pouria; Mickley, John P.; Taunton, Michael J.; Wyles, Cody C.
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Educational Overview of the Concept and Application of Computer Vision in Arthroplasty计算机视觉在关节置换中的概念和应用的教育概述
errJOURNAL OF ARTHROPLASTY
IF3.8
err2023-10-01
err4
PREAI
errVera-Garcia, Diana V.; Nugen, Fred; Padash, Sirwa; Khosravi, Bardia; Mickley, John P.; Erickson, Bradley J.; Wyles, Cody C.; Taunton, Michael J.
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研究方向

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合作期刊
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