Robust regularized tomographic imaging with convex projections. - Farzad Kamalabadi; Behzad Sharif (ICIP (2), 2005)

Optimal sensor configuration in remote image formation. - Behzad Sharif; Farzad Kamalabadi (ICIP (2), 2005)

Discrete Tomography in Discrete Deconvolution: Deconvolution of Binary Images Using Ryser's Algorithm. - Behzad Sharif; Behnam Sharif (Electron. Notes Discret. Math., 2005)

Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils. - Behzad Sharif; Yoram Bresler (ISBI, 2006)

Patient-Adaptive Spatio-Temporal Mri: From Paradigm to Paradise and Beyond. - Yoram Bresler; Nitin Aggarwal; Behzad Sharif (ISBI, 2007)

Adaptive Real-Time Cardiac MRI Using Paradise: Validation by the Physiologically Improved Ncat Phantom. - Behzad Sharif; Yoram Bresler (ISBI, 2007)

Affine-Corrected Paradise: Free-Breathing Patient-Adaptive Cardiac Mri With Sensitivity Encoding. - Behzad Sharif; Yoram Bresler (ISBI, 2007)

Upper bounds on aliasing error energy for multidimensional sampling of nonbandlimited signals. - Behzad Sharif; Yoram Bresler (ICASSP, 2008)

Optimal Sensor Array Configuration in Remote Image Formation. - Behzad Sharif; Farzad Kamalabadi (IEEE Trans. Image Process., 2008)

Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction - Behzad Sharif (2010)

Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks. - Behzad Sharif; Yoram Bresler (ISBI, 2011)

Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems - Behzad Sharif; Yoram Bresler (CoRR, 2011)

Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems. - Behzad Sharif; Yoram Bresler (IEEE Trans. Signal Process., 2011)

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)

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)

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)

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)

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)