Technical University of Munich

Vladimir Golkov

PhD StudentTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: golkov@in.tum.de

Homepage at GSISH/GSB: http://www.bioengineering.gs.tum.de/en/network/details/msc-vladimir-golkov/

Grant support: Deutsche Telekom Foundation

Book Chapters
Book Chapters \| Journal Articles \| Conference and Workshop Papers
2015
	Holistic Image Reconstruction for Diffusion MRI (V. Golkov, J. M. Portegies, A. Golkov, R. Duits, D. Cremers), Chapter in Computational Diffusion MRI, Springer, 2015. [bib] [pdf]Book Chapter, and Oral Presentation at MICCAI 2015 Workshop on Computational Diffusion MRI
2014
	Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate (V. Golkov, J.I. Sperl, M.I. Menzel, T. Sprenger, E.T. Tan, L. Marinelli, C.J. Hardy, A. Haase, D. Cremers), Chapter in Computational Diffusion MRI, Springer, 2014. [bib] [pdf]Book Chapter, and Oral Presentation at MICCAI 2014 Workshop on Computational Diffusion MRI
Book Chapters \| Journal Articles \| Conference and Workshop Papers
Journal Articles
2016
	q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann, T. Brox, D. Cremers), In IEEE Transactions on Medical Imaging, volume 35, 2016. [bib] [pdf]Special Issue on Deep Learning
	Bias and Precision Analysis of Diffusional Kurtosis Imaging for Different Acquisition Schemes (T. Sprenger, J. I. Sperl, B. Fernandez, V. Golkov, I. Eidner, P. G. Sämann, M. Czisch, E. T. Tan, C. J. Hardy, L. Marinelli, A. Haase, M. I. Menzel), In Magnetic Resonance in Medicine, 2016.(early view) [bib]
Book Chapters \| Journal Articles \| Conference and Workshop Papers
Conference and Workshop Papers
2018
	Associative Deep Clustering - Training a Classification Network with no Labels (P. Haeusser, J. Plapp, V. Golkov, E. Aljalbout, D. Cremers), In under review, 2018. [bib] [pdf]
	Clustering with Deep Learning: Taxonomy and New Methods (E. Aljalbout, V. Golkov, Y. Siddiqui, D. Cremers), In ArXiv preprint, 2018.(arXiv:1801.07648) [bib]
	q-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization (V. Golkov, P. Swazinna, M. M. Schmitt, Q. A. Khan, C. M. W. Tax, M. Serahlazau, F. Pasa, F. Pfeiffer, G. J. Biessels, A. Leemans, D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018. [bib] [pdf]
	q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones, D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018. [bib] [pdf]
2017
	Regularization for Deep Learning: A Taxonomy (J. Kukačka, V. Golkov, D. Cremers), In ArXiv preprint, 2017.(arXiv:1710.10686) [bib] [pdf]
	3D Deep Learning for Biological Function Prediction from Physical Fields (V. Golkov, M. J. Skwark, A. Mirchev, G. Dikov, A. R. Geanes, J. Mendenhall, J. Meiler, D. Cremers), In ArXiv preprint, 2017.(arXiv:1704.04039) [bib] [pdf]
	Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients (J.C. Peeken, C. Knie, V. Golkov, K. Kessel, F. Pasa, Q. Khan, M. Seroglazov, J. Kukačka, T. Goldberg, L. Richter, J. Reeb, B. Rost, F. Pfeiffer, D. Cremers, F. Nüsslin, S.E. Combs), In 23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), 2017. [bib]
2016
	Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images (V. Golkov, M. J. Skwark, A. Golkov, A. Dosovitskiy, T. Brox, J. Meiler, D. Cremers), In Annual Conference on Neural Information Processing Systems (NIPS), 2016.([video]) [bib] [pdf]Oral Presentation (acceptance rate: under 2%)
	Model-Free Novelty-Based Diffusion MRI (V. Golkov, T. Sprenger, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann, D. Cremers), In IEEE International Symposium on Biomedical Imaging (ISBI), 2016. [bib] [pdf]
2015
	FlowNet: Learning Optical Flow with Convolutional Networks (A. Dosovitskiy, P. Fischer, E. Ilg, P. Haeusser, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, T. Brox), In IEEE International Conference on Computer Vision (ICCV), 2015.([video],[code]) [bib] [pdf] [doi]
	q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, P. Sämann, J. I. Sperl, T. Sprenger, M. Czisch, M. I. Menzel, P. A. Gómez, A. Haase, T. Brox, D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015. [bib] [pdf]
	Free-Breathing, Self-Navigated RUFIS Lung Imaging with Motion Compensated Image Reconstruction (A. Menini, V. Golkov, F. Wiesinger), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015. [bib]
	Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging (M.I. Menzel, T. Sprenger, E.T. Tan, V. Golkov, C.J. Hardy, L. Marinelli, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015. [bib]
	Using Diffusion and Structural MRI for the Automated Segmentation of Multiple Sclerosis Lesions (P.A. Gómez, T. Sprenger, A.A. López, J.I. Sperl, B. Fernandez, M. Molina-Romero, X. Liu, V. Golkov, M. Czisch, P. Saemann, M.I. Menzel, B.H. Menze), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015. [bib]
2014
	Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In Organization for Human Brain Mapping (OHBM) Annual Meeting, 2014. [bib]
	Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images (V. Golkov, M.I. Menzel, T. Sprenger, A. Haase, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
	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 (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
	Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging (J.I. Sperl, T. Sprenger, E.T. Tan, V. Golkov, M.I. Menzel, C.J. Hardy, L. Marinelli), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
	Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated DSI Yielding Superior Image Quality (T. Sprenger, J.I. Sperl, B. Fernandez, V. Golkov, E.T. Tan, C.J. Hardy, L. Marinelli, M. Czisch, P. Sämann, A. Haase, M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
2013
	Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing (V. Golkov, T. Sprenger, M.I. Menzel, E.T. Tan, K.F. King, C.J. Hardy, L. Marinelli, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013. [bib]
	Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution (J.I. Sperl, E.T. Tan, T. Sprenger, V. Golkov, K.F. King, C.J. Hardy, L. Marinelli, M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013. [bib]
	SNR-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom (T. Sprenger, B. Fernandez, J.I. Sperl, V. Golkov, M. Bach, E.T. Tan, K.F. King, C.J. Hardy, L. Marinelli, M. Czisch, P. Sämann, A. Haase, M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013. [bib]
	Corrected Joint SENSE Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers, J.I. Sperl), In ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure, 2013. [bib]
	Reconstruction, Regularization, and Quality in Diffusion MRI Using the Example of Accelerated Diffusion Spectrum Imaging (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers, J.I. Sperl), In 16th Annual Meeting of the German Chapter of the ISMRM, 2013. [bib]Oral Presentation
	Line-Process-Based Joint SENSE Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction (V. Golkov, T. Sprenger, M.I. Menzel, D. Cremers, J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. [bib]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 (V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers, J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. [bib]Oral Presentation
2012
	Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework (V. Golkov, J.I. Sperl, T. Sprenger, H.-J. Bungartz, M. Sedlacek, E.T. Tan, L. Marinelli, C.J. Hardy, K.F. King, M.I. Menzel), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012. [bib]
	Evaluation of DSI Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom (T. Sprenger, B. Fernandez, M. Bach, J.I. Sperl, V. Golkov, E.T. Tan, L. Marinelli, K.F. King, C.J. Hardy, Q. Zhu, M. Czisch, P. Sämann, A. Haase, M.I. Menzel), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012. [bib]