Burhaneddin Yaman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Magnetic Resonance Imaging

Object Detection

Top Venues

Publications

Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
VLP: Vision Language Planning for Autonomous Driving. CoRR (2024)
Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference. CoRR (2024)
Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
LORD: Large Models based Opposite Reward Design for Autonomous Driving. CoRR (2024)
Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CoRR (2024)
Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. WACV (2024)
Tommaso Nesti, Santhosh Boddana, Burhaneddin Yaman
Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles. CVPR Workshops (2023)
Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. CoRR (2023)
Burhaneddin Yaman, Tanvir Mahmud, Chun-Hao Liu
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection. CoRR (2023)
Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER (2023)
Valentino Assandri, Sam Heshmati, Burhaneddin Yaman, Anton Iakovlev, Ariel Emiliano Repetur
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models. CoRR (2023)
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. 40 (1) (2023)
Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gulle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC (2023)
Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC (2022)
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR (2022)
Chun-Hao Liu, Burhaneddin Yaman
Object Detection for Autonomous Dozers. CoRR (2022)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Zero-Shot Self-Supervised Learning for MRI Reconstruction. ICLR (2022)
Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI (2022)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39 (2) (2022)
Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR (2022)
Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. CoRR (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP (2021)
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR (2021)
Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman, Matthew P. Lungren, Michael S. Hansen
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction. CoRR (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR (2021)
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC (2021)
Hongyi Gu, Burhaneddin Yaman, Kamil Ugurbil, Steen Moeller, Mehmet Akçakaya
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC (2021)
Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC (2021)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC (2021)
Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. CoRR (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR (2020)
Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR (2020)
Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Mapping. IEEE Trans. Computational Imaging 6 (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. CoRR (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR (2019)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR (2019)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR (2019)
Asil Koç, Ibrahim Altunbas, Burhaneddin Yaman
Unified outage performance analysis of two-way/one-way full-duplex/half-duplex fixed-gain AF relay systems. ICT (2017)
Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP (2017)