Tolga Çukur (0000-0002-2296-851X)

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Dr. Çukur is a faculty member at Bilkent University, Turkey since 2013. Prior to that, he was a postdoctoral fellow at University of California, Berkeley, CA. He worked with Prof. Jack L. Gallant in the Helen Wills Neuroscience Institute between 2010-2013. He devised novel machine learning techniques to build quantitative models of the human visual system under natural stimulation, and to infer the visual contents of the human brain.

He received his PhD in Electrical Engineering at Stanford University, CA. He worked with Prof. Dwight G. Nishimura and Prof. John M. Pauly as a member of the Magnetic Resonance Systems Research Laboratory between 2003-2009. During his doctoral work, he developed novel MRI acquisition and reconstruction methods to diagnose peripheral arterial disease, and to monitor treatment of cancer and other inflammatory diseases. Prior to his PhD, he received his B.S. degree in Electrical and Electronics Engineering from Bilkent University in 2003, as the class valedictorian.

Dr. Çukur was awarded Rambus Stanford Graduate Fellowship for his graduate studies. As a faculty member, he has received numerous prestigious awards including TUBITAK Career Award (2015), TUBA-GEBIP Outstanding Young Scientist Award (2015), BAGEP Young Scientist Award (2017), IEEE Turkey Research Encouragement Award (2017), Science Heroes Association Young Scientist of the Year Award (2017), METU Prof. Dr. Mustafa Parlar Foundation Research Incentive Award (2019), and TUSEB Aziz Sancar Incentive Award (2021). He is a senior member of IEEE (since 2017).

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Bilkent University: Ankara, TR

2023 to present | Professor (Electrical and Electronics Engineering)

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Tolga Çukur

https://orcid.org/0000-0002-2296-851X

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Employment (3)

Bilkent University: Ankara, TR

Bilkent University: Ankara, TR

Bilkent University: Ankara, TR

Education and qualifications (4)

University of California, Berkeley: Berkeley, California, US

Stanford University: Stanford, California, US

Stanford University: Stanford, CA, US

Bilkent University: Ankara, TR

Professional activities (3)

IEEE: New York, NY, US

International Society for Magnetic Resonance in Medicine: Concord, CA, US

IEEE: New York, NY, US

Works (50 of 128)

Diffusion Probabilistic Models for Image Formation in MRI

A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis

CalibFPA: A Focal Plane Array Imaging System Based on Online Deep-Learning Calibration

DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI

Editorial

One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis

COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers

DEQ-MPI: A Deep Equilibrium Reconstruction With Learned Consistency for Magnetic Particle Imaging

FD‐Net: An unsupervised deep forward‐distortion model for susceptibility artifact correction in EPI

JointNET: A Deep Model for Predicting Active Sacroiliitis from Sacroiliac Joint Radiography

Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes

Unsupervised Medical Image Translation With Adversarial Diffusion Models

User Feedback-based Online Learning for Intent Classification

Adaptive diffusion priors for accelerated MRI reconstruction

BolT: Fused window transformers for fMRI time series analysis

Content-based medical image retrieval with opponent class adaptive margin loss

Federated Learning of Generative Image Priors for MRI Reconstruction

Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods

Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths

TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery

Constrained Ellipse Fitting for Efficient Parameter Mapping With Phase-Cycled bSSFP MRI

A CNN based super-resolution technique for magnetic particle imaging system matrix,Manyetik parçacik görüntüleme için evrişimsel sinir aǧi tabanli bir süper-çözünürlük tekniǧi

A few-shot learning approach for accelerated MRI via fusion of data-driven and subject-driven priors

Attentional Modulation of Hierarchical Speech Representations in a Multitalker Environment

Constrained ellipse fitting for efficient parameter mapping with phase-cycled bSSFP MRI

Cortical networks of dynamic scene category representation in the human brain

Deep MRI Reconstruction with Generative Vision Transformers

Multi-image reconstruction in multi-contrast MRI,Çoklu kontrast MRG'de çoklu görüntü geriçatimi

Mustgan: Multi-stream generative adversarial networks for MR image synthesis

ResViT: Residual vision transformers for multi-modal medical image synthesis

Self-supervised Dynamic MRI Reconstruction

Synergistic reconstruction-synthesis of multi-contrast MRI using transfer learning method,Çoklu kontrast MRG'de tranfer öǧrenme yöntemi ile birleşik geriçatim-sentez

TranSMS: Transformers for super-resolution calibration in magnetic particle imaging: A Preprint

Unsupervised MRI reconstruction via zero-shot learned adversarial transformers

Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories

A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors

A Transfer-Learning Approach for Accelerated MRI Using Deep Neural Networks

Anatomical measurements correlate with individual magnetostimulation thresholds for kHz-range homogeneous magnetic fields

Attentional Modulation of Hierarchical Speech Representations in a Multi-Talker Environment

Biased competition in semantic representation during natural visual search

Factorized sensitivity estimation for artifact suppression in phase-cycled bSSFP MRI

Informed feature regularization in voxelwise modeling for naturalistic fMRI experiments

Multi-Image Super Resolution in Multi-Contrast MRI,Coklu Kontrast MRG'de Coklu Super Cozunurlugu

Musical mirror-symmetrical movement tasks: Comparison of rhythm versus melody-playing

Prior-guided image reconstruction for accelerated multi-contrast mri via generative adversarial networks

Progressively volumetrized deep generative models for data-efficient contextual learning of mr image recovery

Peer review (455 reviews for 59 publications/grants)