Burhaneddin Yaman

MedicinePhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 11 papers. Top paper: “Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking”.

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking

arXiv (Cornell University)(2021)10.1109/icassp39728.2021.9413495

N/A

0DataRank · unranked

3 citations

Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya, Burhaneddin Yaman

Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning

arXiv (Cornell University)(2021)10.48550/arxiv.2105.04532

N/A

0DataRank · unranked

0 citations

Burhaneddin Yaman, Logan T. Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub +5 more

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

IEEE Signal Processing Magazine(2022)10.1109/msp.2021.3119273

N/A

0DataRank · unranked

79 citations

Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye, Mehmet Akçakaya

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

NMR in Biomedicine(2022)10.1002/nbm.4798

N/A

0DataRank · unranked

51 citations

Hongyi Gu, Seyed Amir Hossein Hosseini, Ömer Burak Demirel, Steen Moeller, Jutta Ellermann +3 more

Accelerated MRI With Deep Linear Convolutional Transform Learning

arXiv (Cornell University)(2022)10.48550/arxiv.2204.07923

N/A

0DataRank · unranked

0 citations

Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya, Hongyi Gu

Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871668

N/A

0DataRank · unranked

0 citations

Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya, Ömer Burak Demirel

Accelerated MRI with Deep Linear Convolutional Transform Learning

(2022)10.1109/iemcon56893.2022.9946548

N/A

0DataRank · unranked

0 citations

Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya, Hongyi Gu

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

IEEE Signal Processing Magazine(2023)10.1109/msp.2022.3215288

N/A

0DataRank · unranked

111 citations

Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knöll +2 more

High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning

(2023)10.1109/ner52421.2023.10123799

N/A

0DataRank · unranked

4 citations

Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan T. Dowdle, Essa Yacoub +3 more

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.13.528388

N/A

0DataRank · unranked

2 citations

Chi Zhang, Burhaneddin Yaman, Merve Gülle, Chetan Shenoy, Tim Leiner +3 more

Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data

Magnetic Resonance Materials in Physics Biology and Medicine(2024)10.1007/s10334-024-01157-8

N/A

0DataRank · unranked

4 citations

Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Christopher Roy, Burhaneddin Yaman +5 more