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Dr. Vladimir Golkov
Postdoctoral ResearcherTechnical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: vladimir.golkov@tum.de
Students who did projects under my supervision went on to become PhD students of Prof. Cremers, Prof. Navab, Prof. Rost, Prof. Haddadin, Prof. Precup, Prof. Razansky, Prof. Ntziachristos & Prof. van der Smagt, Prof. Griffin & Prof. Kleinberg, and others.
Quick links: C++, Matlab (without password), Python, NumPy, best coding practices, software craftsmanship, student projects, mathematical image processing (free access through TUM), proximal algorithms, biology (headings are clickable), research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Manual, PhD scholarships 1 2 3 etc., conferences, Ten Simple Rules series
Grant support: Deutsche Telekom Foundation
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2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2024
Preprints
[] How to Choose a Reinforcement-Learning Algorithm , In arXiv preprint arXiv:2407.20917, 2024.
Conference and Workshop Papers
[] Improving the Detection of Air-Voids and Aggregates in Images of Concrete Using Generative AI , In GNI Symposium on AI for the Built World, 2024.
[] The Pulseq-CEST Library: Definition of Preparations and Simulations, Example Data, and Example Evaluations , In 10th International Workshop on Chemical Exchange Saturation Transfer (CEST 2024), 2024.
Oral Presentation [] Joint sequence optimization beats pure neural network approaches for super-resolution TSE , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2024.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2023
Preprints
[] Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution (12-page version) , In arXiv preprint arXiv:2305.07524, 2023.
[] Scale-Equivariant Deep Learning for 3D Data , In arXiv preprint, 2023.
Conference and Workshop Papers
[] GPT4MR: Exploring GPT-4 as an MR Sequence and Reconstruction Programming Assistant , In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2023.
Oral Presentation 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2022
Journal Articles
[] Deep Learning in Attosecond Metrology , In Optics Express, OSA, volume 30, 2022.
Editor's Pick 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2021
Preprints
[] Scene Graph Generation for Better Image Captioning? , In arXiv preprint, 2021.
[] Rotation-Equivariant Deep Learning for Diffusion MRI , In arXiv preprint, 2021.
Conference and Workshop Papers
[] Rotation-Equivariant Deep Learning for Diffusion MRI (short version) , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2021.
[] Faster and better HARDI using FSE and holistic reconstruction , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2021.
PhD Thesis
[] Deep learning and variational analysis for high-dimensional and geometric biomedical data , PhD thesis, Department of Informatics, Technical University of Munich, Germany, 2021.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2020
Journal Articles
[] Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing , In Magnetic Resonance in Medicine, volume 85, 2020.
Preprints
[] Speech Synthesis and Control Using Differentiable DSP , In arXiv preprint arXiv:2010.15084, 2020. ([listen to audio results])
[] Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions , In arXiv preprint arXiv:2007.07029, 2020.
Conference and Workshop Papers
[] 3D Deep Learning for Biological Function Prediction from Physical Fields , In International Conference on 3D Vision (3DV), 2020.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2019
Journal Articles
[] Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization , In Scientific Reports, volume 9, 2019.
Preprints
[] Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods , In arXiv preprint arXiv:1910.14594, 2019.
[] Learning to Evolve , In arXiv preprint arXiv:1905.03389, 2019.
Conference and Workshop Papers
[] Negative-Unlabeled Learning for Diffusion MRI , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2019.
[] q-Space Novelty Detection with Variational Autoencoders , In MICCAI 2019 International Workshop on Computational Diffusion MRI, 2019.
Oral Presentation 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2018
Preprints
[] Clustering with Deep Learning: Taxonomy and New Methods , In arXiv preprint arXiv:1801.07648, 2018.
[] Precursor microRNA Identification Using Deep Convolutional Neural Networks , In bioRxiv preprint 414656, 2018. (bioRxiv:414656)
Conference and Workshop Papers
[] Associative Deep Clustering - Training a Classification Network with no Labels , In Proc. of the German Conference on Pattern Recognition (GCPR), 2018.
[] q-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018.
[] q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2017
Preprints
[] Regularization for Deep Learning: A Taxonomy , In arXiv preprint arXiv:1710.10686, 2017.
Conference and Workshop Papers
[] Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients , In 23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), 2017.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2016
Journal Articles
[] q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans , In IEEE Transactions on Medical Imaging, volume 35, 2016. Special Issue on Deep Learning
Special Issue on Deep Learning [] Bias and Precision Analysis of Diffusional Kurtosis Imaging for Different Acquisition Schemes , In Magnetic Resonance in Medicine, 2016. (early view)
Conference and Workshop Papers
[] Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images , In Annual Conference on Neural Information Processing Systems (NIPS), 2016. ([video])
Oral Presentation (acceptance rate: under 2%) [] Model-Free Novelty-Based Diffusion MRI , In IEEE International Symposium on Biomedical Imaging (ISBI), 2016.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2015
Book Chapters
[] Holistic Image Reconstruction for Diffusion MRI , Chapter in Computational Diffusion MRI, Springer, 2015.
Book Chapter, and Oral Presentation at MICCAI 2015 Workshop on Computational Diffusion MRI
Conference and Workshop Papers
[] FlowNet: Learning Optical Flow with Convolutional Networks , In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code])
[] q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans , In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.
[] Free-Breathing, Self-Navigated RUFIS Lung Imaging with Motion Compensated Image Reconstruction , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.
[] Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.
[] Using Diffusion and Structural MRI for the Automated Segmentation of Multiple Sclerosis Lesions , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2014
Book Chapters
[] Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate , Chapter in Computational Diffusion MRI, Springer, 2014.
Book Chapter, and Oral Presentation at MICCAI 2014 Workshop on Computational Diffusion MRI
Conference and Workshop Papers
[] Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing , In Organization for Human Brain Mapping (OHBM) Annual Meeting, 2014.
[] Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.
[] Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.
[] Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.
[] Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated DSI Yielding Superior Image Quality , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2013
Conference and Workshop Papers
[] Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.
[] Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.
[] SNR-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.
[] Corrected Joint SENSE Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation , In ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure, 2013.
[] Reconstruction, Regularization, and Quality in Diffusion MRI Using the Example of Accelerated Diffusion Spectrum Imaging , In 16th Annual Meeting of the German Chapter of the ISMRM, 2013.
Oral Presentation [] Line-Process-Based Joint SENSE Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction , In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013.
Certificate of Merit Award [] Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation , In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013.
Oral Presentation 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2012
Conference and Workshop Papers
[] Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework , In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012.
[] Evaluation of DSI Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom , In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012.