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ORCIDBurhaneddin Yaman
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2020 – today
- 2024
[c22]Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren:
VLP: Vision Language Planning for Autonomous Driving. CVPR 2024: 14760-14769- [c21]Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren:
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CVPR 2024: 15216-15225 - [c20]Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
:
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. WACV 2024: 6759-6768 - [i25]Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren:
VLP: Vision Language Planning for Autonomous Driving. CoRR abs/2401.05577 (2024) - [i24]Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren:
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CoRR abs/2403.08919 (2024) - [i23]Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu:
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference. CoRR abs/2403.16020 (2024) - [i22]Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren:
LORD: Large Models based Opposite Reward Design for Autonomous Driving. CoRR abs/2403.18965 (2024) - 2023
- [j4]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): 98-114 (2023) - [c19]Tommaso Nesti, Santhosh Boddana, Burhaneddin Yaman:
Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles. CVPR Workshops 2023: 210-218 - [c18]Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gülle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya:
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC 2023: 1-4 - [c17]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: 1-6 - [i21]Burhaneddin Yaman, Tanvir Mahmud, Chun-Hao Liu:
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection. CoRR abs/2305.08069 (2023) - [i20]Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu:
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. CoRR abs/2309.01391 (2023) - [i19]Valentino Assandri, Sam Heshmati, Burhaneddin Yaman, Anton Iakovlev, Ariel Emiliano Repetur:
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models. CoRR abs/2311.01442 (2023) - 2022
- [j3]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): 28-44 (2022) - [c16]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: 1472-1476 - [c15]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya:
Zero-Shot Self-Supervised Learning for MRI Reconstruction. ICLR 2022 - [c14]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: 1-5 - [i18]Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya:
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR abs/2203.12215 (2022) - [i17]Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya:
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR abs/2204.07923 (2022) - [i16]Chun-Hao Liu, Burhaneddin Yaman:
Object Detection for Autonomous Dozers. CoRR abs/2208.08570 (2022) - 2021
- [c13]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: 886-889 - [c12]Ömer 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: 890-894 - [c11]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: 895-899 - [c10]Hongyi Gu, Burhaneddin Yaman, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya:
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC 2021: 3596-3600 - [c9]Ömer 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: 3765-3769 - [c8]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: 1150-1154 - [c7]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: 100-104 - [c6]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: 1850-1854 - [i15]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya:
Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. CoRR abs/2102.07737 (2021) - [i14]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 abs/2102.13066 (2021) - [i13]Ömer 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 abs/2105.04532 (2021) - [i12]Ömer 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 abs/2105.05827 (2021) - [i11]Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR abs/2105.08040 (2021) - [i10]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 abs/2109.03812 (2021) - [i9]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 abs/2109.11524 (2021) - 2020
- [j2]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): 1280-1291 (2020) - [j1]Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping. IEEE Trans. Computational Imaging 6: 194-207 (2020) - [c5]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: 1481-1484 - [c4]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: 1-4 - [c3]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: 921-925 - [i8]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 abs/2005.05550 (2020) - [i7]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya:
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. CoRR abs/2006.09450 (2020) - [i6]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 abs/2008.06029 (2020) - [i5]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya:
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR abs/2010.13868 (2020) - [i4]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 abs/2011.09414 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1910.09116 (2019) - [i2]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 abs/1912.07197 (2019) - [i1]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 abs/1912.07669 (2019) - 2017
- [c2]Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP 2017: 1-5 - [c1]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: 1-5
Coauthor Index
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