Tolga Çukur

Orcid: 0000-0002-2296-851X

According to our database1, Tolga Çukur authored at least 93 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers.
IEEE J. Biomed. Health Informatics, March, 2024

DEQ-MPI: A Deep Equilibrium Reconstruction With Learned Consistency for Magnetic Particle Imaging.
IEEE Trans. Medical Imaging, January, 2024

One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis.
Medical Image Anal., 2024

2023
Unsupervised Medical Image Translation With Adversarial Diffusion Models.
IEEE Trans. Medical Imaging, December, 2023

Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes.
Comput. Biol. Medicine, December, 2023

Focal modulation network for lung segmentation in chest X-ray images.
Turkish J. Electr. Eng. Comput. Sci., October, 2023

Adaptive diffusion priors for accelerated MRI reconstruction.
Medical Image Anal., August, 2023

BolT: Fused window transformers for fMRI time series analysis.
Medical Image Anal., August, 2023

Content-based medical image retrieval with opponent class adaptive margin loss.
Inf. Sci., August, 2023

Editorial: Machine learning methods for human brain imaging.
Frontiers Neuroinformatics, March, 2023

Federated Learning of Generative Image Priors for MRI Reconstruction.
IEEE Trans. Medical Imaging, 2023

HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images.
CoRR, 2023

CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration.
CoRR, 2023

DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI.
CoRR, 2023

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models.
CoRR, 2023

FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI.
CoRR, 2023

A Transformer-Based Real-Time Focus Detection Technique for Wide-Field Interferometric Microscopy.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Focal Modulation Based End-to-End Multi-Label Classification for Chest X-Ray Image Classification.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Super-Resolution Diffusion Model for Accelerated MRI Reconstruction.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

A Diffusion-Based Reconstruction Technique for Single Pixel Camera.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Denoising Diffusion Adversarial Models for Unconditional Medical Image Generation.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Employing Transformer Encoders for Enhanced Functional Connectivity Mapping.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Self-supervised MRI Reconstruction with Unrolled Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

User Feedback-based Online Learning for Intent Classification.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Deep Learning Reconstruction for Single Pixel Imaging with Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths.
IEEE Trans. Medical Imaging, 2022

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers.
IEEE Trans. Medical Imaging, 2022

Constrained Ellipse Fitting for Efficient Parameter Mapping With Phase-Cycled bSSFP MRI.
IEEE Trans. Medical Imaging, 2022

TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging.
IEEE Trans. Medical Imaging, 2022

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis.
IEEE Trans. Medical Imaging, 2022

Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets.
IEEE J. Biomed. Health Informatics, 2022

Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery.
Medical Image Anal., 2022

Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts.
Inf. Process. Manag., 2022

Unsupervised Simplification of Legal Texts.
CoRR, 2022

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis.
CoRR, 2022

Adaptive Diffusion Priors for Accelerated MRI Reconstruction.
CoRR, 2022

Improving Image Synthesis Quality in Multi-Contrast MRI Using Transfer Learning via Autoencoders.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Skip Connections for Medical Image Synthesis with Generative Adversarial Networks.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Multi-Contrast MRI Synthesis with Channel-Exchanging-Network.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

A Graphical Network Layer for Lagged Analysis of FMRI Data.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

MRI Reconstruction with Conditional Adversarial Transformers.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

A Specificity-Preserving Generative Model for Federated MRI Translation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Segmentation-Aware MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Detecting COVID-19 from respiratory sound recordings with transformers.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis.
Medical Image Anal., 2021

ResViT: Residual vision transformers for multi-modal medical image synthesis.
CoRR, 2021

A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors.
CoRR, 2021

Three Dimensional MR Image Synthesis with Progressive Generative Adversarial Networks.
CoRR, 2021

Multi-Image Reconstruction in Multi-Contrast MRI.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Synergistic Reconstruction-Synthesis of Multi-Contrast MRI using Transfer Learning Method.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

A CNN Based Super-Resolution Technique for Magnetic Particle Imaging System Matrix.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Deep MRI Reconstruction with Generative Vision Transformers.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Self-supervised Dynamic MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Deep Learned Super Resolution of System Matrices for Magnetic Particle Imaging.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Biased competition in semantic representation during natural visual search.
NeuroImage, 2020

Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process., 2020

Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths.
CoRR, 2020

T1-Weighted Contrast-Enhanced Synthesis for Multi-Contrast MRI Segmentation.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI.
IEEE Trans. Medical Imaging, 2019

Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI.
IEEE Trans. Medical Imaging, 2019

Fast System Calibration With Coded Calibration Scenes for Magnetic Particle Imaging.
IEEE Trans. Medical Imaging, 2019

Spatially informed voxelwise modeling for naturalistic fMRI experiments.
NeuroImage, 2019

mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis.
CoRR, 2019

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.
CoRR, 2019

Topic Change Detection on Dialog Based Text.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018
Learning-Based Compressive MRI.
IEEE Trans. Medical Imaging, 2018

Semantic Structure and Interpretability of Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI.
CoRR, 2018

Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks.
CoRR, 2018

Generating Semantic Similarity Atlas for Natural Languages.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Interpretability analysis for Turkish word embeddings.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Joint partial fourier and compressed sensing reconstruction for accelerated time-of-flight MR angiography.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Elliptical signal model based simultaneous parameter estimation in bSSFP imaging.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms.
Expert Syst. Appl., 2017

A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks.
CoRR, 2017

Measuring cross-lingual semantic similarity across European languages.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Semantic similarity between Turkish and European languages using word embeddings.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Ruber function based reconstruction in accelerated phase-cycled bSSFP acquisitions for increased detection performance.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Category-selective top-down modulation in the fusiform face area of the human brain during visual search.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Fast recovery of compressed multi-contrast magnetic resonance images.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Image reconstruction for Magnetic Particle Imaging using an Augmented Lagrangian Method.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A synthesis-based approach to compressive multi-contrast magnetic resonance imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Digital computation of fractional Fourier and linear canonical transforms and sparse image representation.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
Phase-sensitive reconstruction for fat-water separation in multi-coil acquisitions.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Simultaneous phase-correction and denoising for diffusion-weighted MRI.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Adaptive reconstruction for vessel preservation in unenhanced MR angiography.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Compressed Multi-Contrast Magnetic Resonance Image reconstruction using Augmented Lagrangian Method.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Accelerated Phase-Cycled SSFP Imaging With Compressed Sensing.
IEEE Trans. Medical Imaging, 2015

2011
Signal Compensation and Compressed Sensing for Magnetization-Prepared MR Angiography.
IEEE Trans. Medical Imaging, 2011

2010
Variable-Density Parallel Imaging With Partially Localized Coil Sensitivities.
IEEE Trans. Medical Imaging, 2010


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