Berkin Bilgic

Orcid: 0000-0002-9080-7865

Affiliations:
  • Harvard Medical School, MA, USA


According to our database1, Berkin Bilgic authored at least 42 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction.
CoRR, 2024

2023
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).
Medical Image Anal., May, 2023

High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction.
NeuroImage, 2023

SubZero: Subspace Zero-Shot MRI Reconstruction.
CoRR, 2023

Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Covariance-Free Sparse Bayesian Learning.
IEEE Trans. Signal Process., 2022

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.
NeuroImage, 2022

Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.
NeuroImage, 2022

Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction.
CoRR, 2022

Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

High-Dimensional Sparse Bayesian Learning without Covariance Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising.
NeuroImage, 2021

A 48-channel receive array coil for mesoscopic diffusion-weighted MRI of <i>ex vivo</i> human brain on the 3 T connectome scanner.
NeuroImage, 2021

High-fidelity approximation of grid- and shell-based sampling schemes from undersampled DSI using compressed sensing: Post mortem validation.
NeuroImage, 2021

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.
NeuroImage, 2021

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging.
NeuroImage, 2021

Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting.
CoRR, 2021

Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI.
CoRR, 2021

eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction.
CoRR, 2021

Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI.
CoRR, 2021

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI.
CoRR, 2021

2020
DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning.
NeuroImage, 2020

2019
Phase-matched virtual coil reconstruction for highly accelerated diffusion echo-planar imaging.
NeuroImage, 2019

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning.
CoRR, 2019

2018
Quantitative susceptibility mapping using deep neural network: QSMnet.
NeuroImage, 2018

Highly Accelerated Multishot EPI through Synergistic Combination of Machine Learning and Joint Reconstruction.
CoRR, 2018

Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network.
CoRR, 2018

2017
3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction.
NeuroImage, 2017

Simultaneous Time Interleaved MultiSlice (STIMS) for Rapid Susceptibility Weighted acquisition.
NeuroImage, 2017

Simultaneous multislice magnetic resonance fingerprinting with low-rank and subspace modeling.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Rapid multi-orientation quantitative susceptibility mapping.
NeuroImage, 2016

Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Fast quantitative susceptibility mapping using 3D EPI and total generalized variation.
NeuroImage, 2015

Maximum likelihood reconstruction for magnetic resonance fingerprinting.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Fast reconstruction for accelerated multi-slice multi-contrast MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013
Reconstruction algorithms for Magnetic Resonance Imaging.
PhD thesis, 2013

Fast Dictionary-Based Reconstruction for Diffusion Spectrum Imaging.
IEEE Trans. Medical Imaging, 2013

Quantitative Susceptibility Map Reconstruction via a Total Generalized Variation Regularization.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012
MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.
NeuroImage, 2012

Accelerated Diffusion Spectrum Imaging with Compressed Sensing Using Adaptive Dictionaries.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2010
Efficient integral image computation on the GPU.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Fast human detection with cascaded ensembles on the GPU.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010


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