Behzad Sharif

Associate Professor, Biomedical Engineering & Electrical and Computer Engineering, Purdue University

Joined

November 2024

Names

Behzad Sharif (Preferred)

Emails

****@purdue.edu (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Associate Professor

Biomedical Engineering & Electrical and Computer Engineering, Purdue University (purdue.edu)

2024 – Present

Associate Professor

Medicine, Indiana University (iu.edu)

2021 – 2024

Assistant Professor

Medicine, University of California, Los Angeles (ucla.edu)

2017 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Debiao Li

2010 – 2013

PhD Advisor

Yoram Bresler

2005 – 2010

PhD Advisor

Zhi-Pei Liang

2005 – 2010

Expertise

magnetic resonance imaging

Present

medical imaging

Present

computational imaging

Present

Publications

Provable Derivative-Free Inference with Score-Based Generative Priors
M. Berk Sahin, Behzad Sharif, Abolfazl Hashemi
- Submitted to ICLR 2026
- Readers: Everyone
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Janet Wei, Noel Bairey Merz, Robert Judd, Rohan Dharmakumar, Orlando P. Simonetti, Jonathan W. Weinsaft, Subha V. Raman, Behzad Sharif
- CoRR 2024
- Readers: Everyone
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando P. Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif
- MICCAI (3) 2023
- Readers: Everyone
Retrospective Detection and Suppression of Dark-Rim Artifacts in First-Pass Perfusion Cardiac MRI Enabled by Deep Learning
Hazar Benan Unal, Taylor Beaulieu, Luis Zamudio Rivero, Rohan Dharmakumar, Behzad Sharif
- EMBC 2021
- Readers: Everyone
Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobby Heydari, Luis Zamudio, Rohan Dharmakumar, Behzad Sharif
- EMBC 2021
- Readers: Everyone
A Patch-Wise Deep Learning Approach for Myocardial Blood Flow Quantification with Robustness to Noise and Nonrigid Motion
Khalid Youssef, Bobby Heydari, Luis Zamudio Rivero, Taylor Beaulieu, Karandeep Cheema, Rohan Dharmakumar, Behzad Sharif
- EMBC 2021
- Readers: Everyone
Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems
Behzad Sharif, Yoram Bresler
- IEEE Trans. Signal Process. 2011
- Readers: Everyone
Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems
Behzad Sharif, Yoram Bresler
- CoRR 2011
- Readers: Everyone
Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks
Behzad Sharif, Yoram Bresler
- ISBI 2011
- Readers: Everyone
Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction
Behzad Sharif
- undefined 2010
- Readers: Everyone

View all 19 publications

Co-Authors

Abolfazl Hashemi
Behnam Sharif
Bobak Heydari
Bobby Heydari
Dilek Mirgun Yalcinkaya
Farzad Kamalabadi
Hazar Benan Unal
Janet Wei
Jonathan W. Weinsaft
Karandeep Cheema
Khalid Youssef
Luis Zamudio
Luis Zamudio Rivero
M. Berk Sahin
Nitin Aggarwal
Noel Bairey Merz
Orlando P. Simonetti
Robert Judd
Rohan Dharmakumar
Subha Raman
Subha V. Raman
Taylor Beaulieu
Yoram Bresler