Mehdi Alilou

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 3

Top Topics

Magnetic Resonance Imaging

Computed Tomography

Advanced Non Small Cell Lung Cancer

Top Venues

Journal of medical imaging (Bellingham, Wash.)

Science advances

Clinical cancer research : an official journal of the American Association for Cancer Research

Case Western Reserve University Case School of Engineering

National Academy of Sciences of Belarus (PHD)

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

Affiliation History

Case Western Reserve University Case School of Engineering Jun 08 2018

United States

Senior Research Associate :: Biomedical Engineering

Education History

National Academy of Sciences of Belarus Mar 06 2011 - Apr 09 2014

Belarus

PHD :: Institute of Informatics problems

Publications

Mehdi Alilou, Mohammadhadi Khorrami, Prateek Prasanna, Kaustav Bera, Amit Gupta, Vidya Sankar Viswanathan, Pradnya Patil, Priya Darsini Velu, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors. Science advances 8 (47) (2022)
Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi
Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical cancer research : an official journal of the American Association for Cancer Research 28 (20) (2022)
Mahdi Orooji, Mehdi Alilou, Sagar Rakshit, Niha Beig, Mohammad Hadi Khorrami, Prabhakar Rajiah, Rajat Thawani, Jennifer Ginsberg, Christopher Donatelli, Michael Yang, Frank Jacono, Robert Gilkeson, Vamsidhar Velcheti, Phillip A Linden, Anant Madabhushi
Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography. Journal of medical imaging (Bellingham, Wash.) 5 (2) (2018)