Alireza Akhbardeh

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 5

Top Topics

Magnetic Resonance

Diffusion Weighted

Machine Learning

Multiple Sclerosis

Top Venues

Diagnostics (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Kamand Khalaj, Michael A Jacobs, Jay-Jiguang Zhu, Yoshua Esquenazi, Sigmund Hsu, Nitin Tandon, Alireza Akhbardeh, Xu Zhang, Roy Riascos, Arash Kamali
The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma. Cancers 16 (13) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Kamand Khalaj, Michael A Jacobs, Jay-Jiguang Zhu, Yoshua Esquenazi, Sigmund Hsu, Nitin Tandon, Alireza Akhbardeh, Xu Zhang, Roy Riascos, Arash Kamali
The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma. Cancers 16 (13) (2024)