119 posters, 6 topics, 524 authors, 243 institutions

RCR Global AI Conference 2026

29-30 June, 2026 | QEII Centre, Westminster

Affiliations

Showing 4 results for affiliation "Tehran University Of Medical Sciences".

Back to affiliations

Thumbnail for <p>Comparative Assessment of Convolutional Neural Network Architectures for BI-RADS Classification Using a Local Mammography Dataset</p>

122

<p>Comparative Assessment of Convolutional Neural Network Architectures for BI-RADS Classification Using a Local Mammography Dataset</p>

Elham Keshavarz, Hamed Ghorani, Navid Zandi, Saghar Rasouli Nahad, Matin Noroozi, Reyhaneh Sadat Mortazavi

Shahid Beheshti University Of Medical Sciences, Tehran University Of Medical Sciences, Isfahan University Of Medical Sciences

Poster Presenter: Elham Keshavarz

Thumbnail for <p>Enhancing Diagnostic Accuracy in Neurology: A Deep Learning Framework for Distinguishing Multiple Sclerosis from Cerebral Small Vessel Disease on Routine Non-Contrast Brain MRI</p>

123

<p>Enhancing Diagnostic Accuracy in Neurology: A Deep Learning Framework for Distinguishing Multiple Sclerosis from Cerebral Small Vessel Disease on Routine Non-Contrast Brain MRI</p>

Elham Keshavarz, Kavoos Firouznia, Mehran Arab Ahmadi, Hassan Hashemi, Melika Boroomand-Saboor, Rassa Ghavami Modegh, Haned Dashti, Masoumeh Gity

Tehran University Of Medical Sciences, Shahid Beheshti University Of Medical Sciences, Department of Computer Engineering, Sharif University of Technology

RCR Global AI Conference 2026

Affiliations

<p>Comparative Assessment of Convolutional Neural Network Architectures for BI-RADS Classification Using a Local Mammography Dataset</p>

<p>Enhancing Diagnostic Accuracy in Neurology: A Deep Learning Framework for Distinguishing Multiple Sclerosis from Cerebral Small Vessel Disease on Routine Non-Contrast Brain MRI</p>

<p>Performance of AI-Assisted Diagnostic Systems Versus Radiologists in Prospective Breast Cancer Screening</p>

<p>Enhancing Quality of Screening Mammography in University Training Centers Through AI Integration: A Prospective Analysis</p>