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Aawez Mansuri

Showing results (1-10 of 10) with videos related to

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Radiology. Artificial Intelligence|April 30, 2025
Context Is Everything: Understanding Variable LLM Performance for Radiology Retrieval-Augmented GenerationAawez Mansuri, Judy W Gichoya
Journal of Imaging Informatics in Medicine|September 2, 2025
Comparative Evaluation of Deep Learning and Foundation Model Embeddings for Osteoarthritis Feature Classification in Knee RadiographsMohammadreza Chavoshi, Hari Trivedi, Janice Newsome, et al.
Journal of Imaging Informatics in Medicine|May 11, 2026
An Intensity-Based Cropping Approach for Fast, Interpretable, and Robust Localization of the Knee Joint in RadiographsMohammadreza Chavoshi, Hari Trivedi, Janice Newsome, et al.
Radiology. Artificial Intelligence|January 14, 2026
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical IntegrationBardia Khosravi, Pouria Rouzrokh, Tugba Akinci D'Antonoli, et al.
Radiology. Artificial Intelligence|December 24, 2025
Impact of Label Noise from Large Language Models Generated Annotations on Evaluation of Diagnostic Model PerformanceMohammadreza Chavoshi, Hari Trivedi, Aawez Mansuri, et al.
NPJ Cardiovascular Health|May 28, 2026
Review of breast arterial calcifications for cardiovascular disease risk predictionBrandy Ndirangu, Judy Gichoya, Theo Dapamede, et al.
Nature Communications|March 20, 2026
Subgroup performance of a commercial digital breast tomosynthesis model for breast cancer detectionBeatrice Brown-Mulry, Rohan Satya Isaac, Sang Hyup Lee, et al.
Journal of Imaging Informatics in Medicine|March 11, 2026
The Emory Knee Radiograph (MRKR) DatasetBrandon J Price, Judy Gichoya, Mohammadreza Chavoshi, et al.
NPJ Digital Medicine|December 24, 2025
Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detectionMohammadreza Chavoshi, Aawez Mansuri, Wasif Bala, et al.
European Heart Journal|March 8, 2026
Artificial intelligence-based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortalityTheodorus Dapamede, Aisha Urooj, Vedant Joshi, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Radiology. Artificial Intelligence|April 30, 2025
Context Is Everything: Understanding Variable LLM Performance for Radiology Retrieval-Augmented GenerationAawez Mansuri, Judy W Gichoya
Journal of Imaging Informatics in Medicine|September 2, 2025
Comparative Evaluation of Deep Learning and Foundation Model Embeddings for Osteoarthritis Feature Classification in Knee RadiographsMohammadreza Chavoshi, Hari Trivedi, Janice Newsome, et al.
Journal of Imaging Informatics in Medicine|May 11, 2026
An Intensity-Based Cropping Approach for Fast, Interpretable, and Robust Localization of the Knee Joint in RadiographsMohammadreza Chavoshi, Hari Trivedi, Janice Newsome, et al.
Radiology. Artificial Intelligence|January 14, 2026
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical IntegrationBardia Khosravi, Pouria Rouzrokh, Tugba Akinci D'Antonoli, et al.
Radiology. Artificial Intelligence|December 24, 2025
Impact of Label Noise from Large Language Models Generated Annotations on Evaluation of Diagnostic Model PerformanceMohammadreza Chavoshi, Hari Trivedi, Aawez Mansuri, et al.
NPJ Cardiovascular Health|May 28, 2026
Review of breast arterial calcifications for cardiovascular disease risk predictionBrandy Ndirangu, Judy Gichoya, Theo Dapamede, et al.
Nature Communications|March 20, 2026
Subgroup performance of a commercial digital breast tomosynthesis model for breast cancer detectionBeatrice Brown-Mulry, Rohan Satya Isaac, Sang Hyup Lee, et al.
Journal of Imaging Informatics in Medicine|March 11, 2026
The Emory Knee Radiograph (MRKR) DatasetBrandon J Price, Judy Gichoya, Mohammadreza Chavoshi, et al.
NPJ Digital Medicine|December 24, 2025
Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detectionMohammadreza Chavoshi, Aawez Mansuri, Wasif Bala, et al.
European Heart Journal|March 8, 2026
Artificial intelligence-based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortalityTheodorus Dapamede, Aisha Urooj, Vedant Joshi, et al.
Pageof 1