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Dr. Vladimir Golkov
Postdoctoral ResearcherTechnical University of MunichDepartment of Informatics
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
My work focuses on deep learning since 2014. My research interests include:
- data structures such as high-dimensional and geometric data,
- data-processing goals beyond supervised learning, for example clustering or anomaly detection,
- areas of application such as biomedicine and physics.
Students who did projects under my supervision went on to become PhD students at TUM, Mila, ETHZ, Cambridge, and more.
Quick links are down here. Grant support: Deutsche Telekom Foundation
Publications:
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| 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 |
| Conference and Workshop Papers | ||
| [] |  | A data-driven variability assessment of brain diffusion MRI preprocessing pipelines , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2022. Oral Presentation |
| 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. |
| 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. |
| 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 |
| 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. |
| 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. |
| [] |  | Precursor microRNA Identification Using Deep Convolutional Neural Networks , In bioRxiv preprint, 2018. (bioRxiv:414656) |
| [] |  | 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. |
| 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. | |
| 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. |
| 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. | |
| 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. | |
| 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 | |
| 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. | |
Quick links:
C++, Matlab (without password), Python, NumPy, best coding practices, apprenticeship patterns / software craftsmanship (table of contents can be expanded and contains links to the entire book), student projects, mathematical image processing (free access through TUM), proximal algorithms, magnetic resonance, biology 1 2, literature network 1 2, research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Guide (English) TUM Career Guide (German) (old edition as PDF), PhD or exchange scholarships 1 2 3 4 etc., conferences, Ten Simple Rules series
