Berkin Bilgic
BRAIN Lab
I am an Associate Professor of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). I head the BRAIN (Bilgic Reconstruction Acquisition for Imaging Neuroscience) lab at the Martinos Center for Biomedical Imaging.
Research interests
I am interested in MRI data acquisition and reconstruction, in particular:
Fast clinical imaging
Self-supervised machine learning
Quantitative parameter mapping
Diffusion imaging
Open-source pulse sequence development
Free-breathing abdominal MRI
Appointments & education
- Nov 2023 – presentAssociate Professor of Radiology, MGH/HMS
- Jun 2018 – presentAffiliated Faculty, Health Sciences & Technology, Harvard-MIT
- Jun 2019 – Nov 2023Assistant Professor of Radiology, MGH/HMS
- May 2016 – Jun 2019Instructor in Radiology, MGH/HMS
- Feb 2013 – May 2016Research Fellow in Radiology, MGH/HMS
- Feb 2010 – Feb 2013PhD in EECS, MIT
- Sep 2008 – Feb 2010SM in EECS, MIT
- Sep 2004 – Jun 2008BS in EE, Bogazici University
- Sep 2004 – Jun 2008BS in Physics, Bogazici University
Berkin Bilgic
Building 75, 13th Street
Charlestown, MA 02129
bbilgic AT mgh.harvard.edu
News, abstracts & software
News from 2026
Jiye wins the best trainee oral presentation award at the 2026 Joint Workshop on MR Phase, Magnetic Susceptibility and Electrical Properties Mapping
News from the ISMRM'25 conference
Shohei delivers an educational talk at the MRI Data Multi-Site Harmonization session
We presented 4 talks, 3 power pitches and 3 posters
News from the ISMRM'24 conference
News: Abstracts and software from the ISMRM'23 conference
H Yu et al: SubZero: Subspace Zero-Shot MRI Reconstruction, #0829, power pitch
A Heydari et al: Joint MR T1 and T2* Parameter Mapping with Scan Specific Unsupervised Networks, #1617, digital poster
IA Vurankaya et al: Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging, #0831, power pitch
Y Arefeen et al: Improved T1 and T2 mapping in 3D-QALAS using temporal subspaces and Cramer-Rao-bound flip angle optimization enabled by auto-differentiation, #0671, oral
X Wang et al: Model-based phase-difference reconstruction for accelerated phase-based T2 mapping, #4960, digital poster
X Wang et al: An Open-Source Self-navigated Multi-Echo Gradient Echo Acquisition for R2* and QSM mapping using Pulseq and Model-Based Reconstruction, #0420, combined educational & scientific session
Y Jun et al: Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Multiparametric Quantitative MRI Using QALAS, #1105, power pitch
Y Jun et al: SSL-QALAS: Self-Supervised Learning for Multiparametric Quantitative MRI Using QALAS, #2155, digital poster
TH Kim et al: Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior, #0828, power pitch
J Cho et al: VUDU-SAGE: Efficient T2 and T2* Mapping using Joint Reconstruction for Motion-Robust, Distortion-Free, Multi-Shot, Multi-Echo EPI, #2202, digital poster
G Varela-Mattatall et al: Rapid Mesoscale MP2RAGE Imaging at Ultra High Field with Controlled Aliasing, #0539, oral
Abstracts and software from the Data Sampling and Image Reconstruction workshop, Sedona'23
Y Jun et al: Deep Subspace Reconstruction with Zero-Shot Learning for Multiparametric Quantitative MRI, oral
TH Kim et al: Zero-shot Prior Learning of Spatio-temporal Multi-echo/contrast MRI Reconstruction with Iterative Refinement
G Varela Mattatall et al: Parallel CS-Wave
X Wang et al: Model-Based Phase-Difference Reconstruction for Accelerated Phase-Based T2 Mapping
J Cho et al: VUDU-SAGE: Efficient T2 and T2* Mapping using Joint Reconstruction for Motion-Robust, Distortion-Free, Multi-Shot, Multi-Echo EPI
Y Arefeen et al: Improved T1 and T2 mapping in 3D-QALAS using temporal subspaces and flip angle optimization enabled by auto-differentiation
X Wang et al: Open-Source Self-navigated Multi-Echo GRE Acquisition for R2* and QSM mapping using Pulseq and Model-Based Reconstruction
X Wang et al: Model-Based Reconstruction for Joint Estimation of T1, T2 and B0 Inhomogeneity Maps Using Single-Shot Inversion-Recovery Multi-Echo Radial FLASH
Software from the ISMRM'22 conference
Y Arefeen et al: Learning compact latent representations of signal evolution for improved shuffling reconstruction, #0247
J Cho et al: Variable Flip, Blip-Up and -Down Undersampling (VUDU) Enables Motion-Robust, Distortion-Free Multi-Shot EPI, #0757
J Cho et al: Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction, #0435
MY Avci et al: Quantifying the uncertainty of neural networks using Monte Carlo dropout for safer and more accurate deep learning based quantitative MRI, #4978
A Lin et al: Bayesian sensitivity encoding enables parameter-free, highly accelerated joint multi-contrast reconstruction, #3444
TH Kim et al: Accelerated MR Parameter Mapping with Scan-specific Unsupervised Networks, #4402
G Varela-Mattatall et al: Rapid CS-Wave MPRAGE acquisition with automated parameter selection, #1604
Educational talk from ISMRM'22
Value of multi-contrast techniques (neuro), Wednesday session on Added Value of Sophisticated Multicontrast Techniques