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+ | ~~NOTOC~~ | ||
====== Publications ====== | ====== Publications ====== | ||
See also the [[http://www.mic.uni-luebeck.de/publications.html|group's publication page.]] | See also the [[http://www.mic.uni-luebeck.de/publications.html|group's publication page.]] | ||
+ | |||
+ | ===== 2025 ===== | ||
+ | |||
+ | {{::brain-svf.png }}**Stationary Velocity Fields on Matrix Groups for | ||
+ | Deformable Image Registration**\\ | ||
+ | //Johannes Bostelmann, Ole Gildemeister, Jan Lellmann,// (in press) 2025.\\ | ||
+ | [[https://arxiv.org/pdf/2410.10997|Preprint]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::respiratory-motion.png }}**Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation**\\ | ||
+ | //Ole Gildemeister, Johannes Bostelmann, Pia F. Schulz, Andra Oltmann, Phillip Rostalski, Jan Modersitzki, Jan Lellmann,// Scale Space Var. Meth. Comp. Vis. (SSVM) 2025.\\ | ||
+ | [[https://link.springer.com/chapter/10.1007/978-3-031-92369-2_31|Springer]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::respiratory.png }}**Image Registration for a Dynamic Breathing Model**\\ | ||
+ | //Pia F. Schulz, Andra Oltmann, Johannes Bostelmann, Ole Gildemeister, Franz Wegner, Jan Lellmann, Philipp Rostalski, Jan Modersitzki ,// BVM Workshop, 2025.\\ | ||
+ | [[https://link.springer.com/chapter/10.1007/978-3-031-92369-2_31|Springer]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::potential.png }}**Simulation of Diaphragmatic Motor Unit Action Potentials Throughout the Respiratory Cycle Using a Dynamic Breathing Model**\\ | ||
+ | //Andra Oltmann, Ole Gildemeister, Johannes Bostelmann, Pia F. Schulz, Jan Graßhoff, Franz Wegner, Alex Frydrychowicz, Jan Lellmann, Jan Modersitzki, Tobias Knopp, Philipp Rostalski, // EMBC 2025.\\ | ||
+ | [[https://embc.embs.org/2025/|in press (conference homepage)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | ===== 2024 ===== | ||
+ | |||
+ | {{::protein.png }}**Riemannian geometry for efficient analysis of protein dynamics data**\\ | ||
+ | //Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb,// Proceedings of the National Academy of Sciences (PNAS), 2024.\\ | ||
+ | [[https://arxiv.org/pdf/2308.07818|pdf (preprint)]] | [[https://dx.doi.org/10.1073/pnas.2318951121|PNAS]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::imsis2024-120.png }}**Subtyping of rare types of gastric carcinomas and | ||
+ | organoids for diagnostics using MALDI imaging**\\ | ||
+ | //Pia Hönscheid, Linna Sommer, Patrick Moller Jensen, Jan Lellmann, Christian Sperling, Daniel | ||
+ | Stange, Daniela Aust, Herbert Thiele, Gustavo Baretton,// Conference on Mass Spectrometry Imaging and Integrated Topics (IMSIS), 2024.\\ | ||
+ | (in preparation) | {{ :imsis_2024_muenster.pdf|Poster at IMSIS 2024}} | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::hupo2024.png }}**Deep learning for MALDI-MSI: towards a common | ||
+ | framework for transferable tissue diagnostics**\\ | ||
+ | //Patrick M. Jensen, Jan Lellmann, Herbert Thiele, Pia Hönscheid, Christian Sperling, Gustavo | ||
+ | Baretton, Oliver Klein, Carsten Tschöpe, Karin Klingel,// 23rd Human Proteome World Congress (HUPO), 2024.\\ | ||
+ | (in preparation) | {{ :hupo_2024_patmjen_poster.pdf|Poster at HUPO 2024}} | ||
+ | <WRAP clear/> | ||
+ | |||
+ | ===== 2023 ===== | ||
+ | {{::maxcut.png }}**A universal quantum algorithm for weighted maximum cut and Ising problems**\\ | ||
+ | //Natacha Kuete Meli, Florian Mannel, Jan Lellmann,// Quantum Information Processing, 2023\\ | ||
+ | [[https://arxiv.org/pdf/2306.06539|PDF (preprint)]] | [[https://link.springer.com/article/10.1007/s11128-023-04025-x|SpringerLink]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::bednarski_ssvm2023.png }}**EmNeF: Neural Fields for Embedded Variational Problems in Imaging**\\ | ||
+ | //Danielle Bednarski, Jan Lellmann,// Scale Space Var. Meth. Comp. Vis. (SSVM) 2023.\\ | ||
+ | [[https://link.springer.com/chapter/10.1007/978-3-031-31975-4_11|SpringerLink]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::kanter-lellmann-pancreas.png }}**Classification of Pancreatic Ductal Adenocarcinoma Using | ||
+ | MALDI Mass Spectrometry Imaging Combined with Neural Networks**\\ | ||
+ | //Frederic Kanter, Jan Lellmann, Herbert Thiele, Steve Kalloger, David F. Schaeffer, Axel Wellmann, Oliver Klein,// Cancers, 2023.\\ | ||
+ | [[https://www.mdpi.com/2072-6694/15/3/686|web version]] | [[https://www.mdpi.com/2072-6694/15/3/686/pdf|pdf (open access)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::diepeveen-et-al-2022.png }}**Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds**\\ | ||
+ | //Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb,// SIAM Journal on Imaging Sciences, 2023.\\ | ||
+ | [[https://doi.org/10.1137/22M1520773|SIAM]] | [[https://arxiv.org/pdf/2209.03045|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===== 2022 ===== | ||
+ | |||
+ | {{::bednarski-lellmann-scale-space.png }} **Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case | ||
+ | **\\ | ||
+ | //D. Bednarski, J. Lellmann,// | ||
+ | Journal of Mathematical Imaging and Vision, 2022.\\ | ||
+ | [[https://link.springer.com/article/10.1007/s10851-022-01125-8|SpringerLink]] | [[https://arxiv.org/pdf/2203.10865|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::dynamic-ot.png }} **On the Connection between Dynamical Optimal Transport and Functional Lifting**\\ | ||
+ | //T. Vogt, R. Haase, D. Bednarski, J. Lellmann,// Preprint, 2022\\ | ||
+ | [[https://arxiv.org/pdf/2007.02587.pdf|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::kanter-flexible-registration.png }} **A Flexible Meta Learning Model for Image Registration**\\ | ||
+ | //F. Kanter, J. Lellmann,// MIDL2022.\\ | ||
+ | [[https://openreview.net/pdf?id=DVvXkperT3t|pdf (OpenReview)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::kuete-meli-quantum-registration.png }} **An Iterative Quantum Approach for Transformation Estimation from Point Sets**\\ | ||
+ | //N. Kuete-Meli, F. Mannel, J. Lellmann,// CVPR2022.\\ | ||
+ | [[https://openaccess.thecvf.com/content/CVPR2022/papers/Meli_An_Iterative_Quantum_Approach_for_Transformation_Estimation_From_Point_Sets_CVPR_2022_paper.pdf|pdf (CVF)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::haase-lellmann-20-low-rank-sparse-image-registration.png }} **Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition**\\ | ||
+ | //R. Haase, S. Heldmann, J. Lellmann,// Journal of Mathematical Imaging and Vision, 2022.\\ | ||
+ | [[https://link.springer.com/article/10.1007/s10851-021-01059-7|SpringerLink]] | [[https://arxiv.org/pdf/2001.03509|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | ===== 2021 ===== | ||
+ | |||
+ | {{::diepeveen-lellmann-manifold-optimization.png }} **An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising**\\ | ||
+ | //W. Diepeveen, J. Lellmann,// SIAM Journal on Imaging Sciences, 2021.\\ | ||
+ | [[https://epubs.siam.org/doi/abs/10.1137/21M1398513|SIAM]] | [[https://arxiv.org/pdf/2102.10309.pdf|pdf (preprint)]]\\ | ||
+ | //New:// Our algorithm is now built into the open source manifold optimization package [[https://manoptjl.org/stable/solvers/primal_dual_semismooth_Newton/|manopt.jl!]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::inverse-scalespace-lifting.png }} **Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting**\\ | ||
+ | //D. Bednarski, J. Lellmann,// | ||
+ | **//Best Student Paper Award at// [[https://ssvm2021.sciencesconf.org/|SSVM 2021.]]**\\ | ||
+ | [[https://doi.org/10.1007/978-3-030-75549-2_19|SpringerLink]] | [[https://arxiv.org/pdf/2105.02622|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::jmiv-title.jpg?140 }} **Journal of Mathematical Imaging and Vision: Special Issue on Scale Space and Variational Methods in Computer Vision**\\ | ||
+ | //J. Lellmann, J. Modersitzki (eds.)//\\ | ||
+ | [[https://link.springer.com/journal/10851/topicalCollection/AC_7af2165aa819d348746e540011c6150c|SpringerLink (online first)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | |||
+ | ===== 2020 ===== | ||
+ | {{::parisotto-et-al20-dem.png }} **Higher-Order Total Directional Variation: Imaging Applications**\\ | ||
+ | //S. Parisotto, J. Lellmann, S. Masnou, C.-B. Schönlieb,// SIAM Journal on Imaging Sciences, 2020.\\ | ||
+ | [[https://doi.org/10.1137/19M1239209|SIAM]] | [[https://arxiv.org/abs/1812.05023|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::corona-et-al-2020.png }}**A multi-contrast MRI approach to thalamus segmentation**\\ | ||
+ | //V. Corona, J. Lellmann, P. Nestor, C.-B. Schönlieb, J. Acosta-Cabronero,// Human Brain Mapping, 2020.\\ | ||
+ | [[http://dx.doi.org/10.1002/hbm.24933|Wiley Online]] | ||
+ | <WRAP clear/> | ||
+ | |||
+ | {{::vogt-et-al-2019-manifold-lifting.png }} | ||
+ | **Lifting methods for manifold-valued variational problems**\\ | ||
+ | //T. Vogt, E. Strekalovskiy, D. Cremers, J. Lellmann,// Book chapter in Handbook of Variational Methods for Nonlinear Geometric Data, 2020.\\ | ||
+ | [[https://link.springer.com/chapter/10.1007/978-3-030-31351-7_3|SpringerLink]] | [[https://arxiv.org/pdf/1908.03776.pdf|pdf (preprint)]] | ||
+ | <WRAP clear/> | ||
===== 2019 ===== | ===== 2019 ===== | ||
+ | |||
+ | {{::978-3-030-22368-7.jpg?140 }}**Scale Space and Variational Methods in Computer Vision SSVM 2019, 7th International Conference, Proceedings**\\ | ||
+ | //J. Lellmann, M. Burger, J. Modersitzki (Eds.),// Springer Lecture Notes in Computer Science (LNCS), 2019.\\ | ||
+ | [[https://link.springer.com/book/10.1007/978-3-030-22368-7|SpringerLink]] | ||
+ | <WRAP clear/> | ||
{{::vogt-lellmann-ssvm-2019-higher-order-lifting.png }} | {{::vogt-lellmann-ssvm-2019-higher-order-lifting.png }} | ||
**Functional Liftings of Vectorial Variational Problems with Laplacian Regularization**\\ | **Functional Liftings of Vectorial Variational Problems with Laplacian Regularization**\\ | ||
- | //T. Vogt, J. Lellmann,// SSVM 2019.\\ | + | //T. Vogt, J. Lellmann,// Scale Space Var. Meth. Comp. Vis. (SSVM), 2019.\\ |
+ | [[https://link.springer.com/chapter/10.1007/978-3-030-22368-7_44|SpringerLink]] | | ||
[[https://arxiv.org/pdf/1904.00898.pdf|pdf (preprint)]] | [[https://arxiv.org/pdf/1904.00898.pdf|pdf (preprint)]] | ||
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{{::odf.png }} | {{::odf.png }} | ||
**Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging**\\ | **Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging**\\ | ||
- | //T. Vogt, J. Lellmann,// JMIV 2018 (online first).\\ | + | //T. Vogt, J. Lellmann,// Journal of Mathematical Imaging and Vision 2018.\\ |
[[https://rdcu.be/UXqH|Springer full text]] | [[https://doi.org/10.1007/s10851-018-0827-8|SpringerLink]] | [[https://arxiv.org/pdf/1710.00798|pdf (preprint)]]\\ | [[https://rdcu.be/UXqH|Springer full text]] | [[https://doi.org/10.1007/s10851-018-0827-8|SpringerLink]] | [[https://arxiv.org/pdf/1710.00798|pdf (preprint)]]\\ | ||
<WRAP clear/> | <WRAP clear/> | ||
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{{:files:budelmann-deformable-registration.png }} | {{:files:budelmann-deformable-registration.png }} | ||
**Fully-deformable 3D image registration in two seconds**\\ | **Fully-deformable 3D image registration in two seconds**\\ | ||
- | //Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann,// Accepted for oral presentation at BVM 2019\\ | + | //Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann,// BVM 2019 (oral)\\ |
- | [[https://arxiv.org/pdf/1812.06765.pdf|pdf (preprint)]]\\ | + | [[https://link.springer.com/chapter/10.1007/978-3-658-25326-4_67|SpringerLink]] | [[https://arxiv.org/pdf/1812.06765.pdf|pdf (preprint)]]\\ |
- | <WRAP clear/> | + | |
- | + | ||
- | {{::corona-qsm.png }} | + | |
- | **A multi-contrast MRI approach to thalamus segmentation**\\ | + | |
- | //Veronica Corona, Jan Lellmann, Peter Nestor, Carola-Bibiane Schönlieb, Julio Acosta-Cabronero,// To appear.\\ | + | |
<WRAP clear/> | <WRAP clear/> | ||
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- | {{::lellmann-siam-qvis.png }}**Solving QVIs for Image Denoising with Adaptive Constraint Sets**\\ | + | {{::lellmann-siam-qvis.png }}**Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets**\\ |
- | //F. Lenzen, J. Lellmann, F. Becker, and C. Schnörr,// to appear in: SIAM Journal on Imaging Science, 2014\\ | + | //F. Lenzen, J. Lellmann, F. Becker, and C. Schnörr,// SIAM Journal on Imaging Science, 2014\\ |
- | [[http://arxiv.org/pdf/1407.0921v1.pdf| pdf (preprint)]]\\ | + | [[https://epubs.siam.org/doi/abs/10.1137/130938347|SIAM epubs]] | [[http://arxiv.org/pdf/1407.0921v1.pdf| pdf (preprint)]]\\ |
<WRAP clear/> | <WRAP clear/> | ||
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{{aadm11.png }} **Sparse Template-Based Variational Image Segmentation**\\ | {{aadm11.png }} **Sparse Template-Based Variational Image Segmentation**\\ | ||
- | //D. Breitenreicher, J. Lellmann, and C. Schnörr},// | + | //D. Breitenreicher, J. Lellmann, and C. Schnörr,// |
Advances in Adaptive Data Analysis, 2011\\ | Advances in Adaptive Data Analysis, 2011\\ | ||
{{:files:breitenreicher_lellmann_schnoerr_aada2011.pdf|pdf}} | [[http://www.worldscinet.com/aada/03/0301n02/S1793536911000805.html|AADA]] | {{:files:breitenreicher_lellmann_schnoerr_aada2011.pdf|pdf}} | [[http://www.worldscinet.com/aada/03/0301n02/S1793536911000805.html|AADA]] | ||
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====== Invited and Workshop Talks ====== | ====== Invited and Workshop Talks ====== | ||
+ | * J. Lellmann: **A tour on lifting for image analysis and beyond** Keynote at [[https://helmholtz-imaging.de/news/news-events/helmholtz-imaging-conference-2023-save-the-dates/|Helmholtz Imaging Conference, Hamburg, 2023.]] | ||
+ | * J. Lellmann: **Dynamical Optimal Transport and Functional Lifting** Invited talk at Mathematics and Image Analysis, Paris (virtual), 2021. {{ :mia_dynamicalot_lifting.pdf|pdf}} | ||
+ | * J. Lellmann: **Higher-Order Non-Smooth Optimization on Manifolds** Oberwolfach Mini-Workshop on Computational Optimization on Manifolds, 2020. {{ :lellmann_mfo2020.pdf|pdf}} | [[https://www.mfo.de/occasion/2047c|Oberwolfach Report]] | ||
* J. Lellmann: **Measure-Valued Variational Image Processing** Invited talk at IPAM Workshop on Geometric Processing as part of the long program "Geometry and Learning from Data in 3D and Beyond", UCLA, Los Angles, 2019. {{:files:lellmann_ipam2019.pdf|pdf}} | * J. Lellmann: **Measure-Valued Variational Image Processing** Invited talk at IPAM Workshop on Geometric Processing as part of the long program "Geometry and Learning from Data in 3D and Beyond", UCLA, Los Angles, 2019. {{:files:lellmann_ipam2019.pdf|pdf}} | ||
* J. Lellmann: **Manifolds & Relaxation** Invited talk at CM2 Workshop on Manifold-Valued Image Processing, Kaiserslautern, 2016. | * J. Lellmann: **Manifolds & Relaxation** Invited talk at CM2 Workshop on Manifold-Valued Image Processing, Kaiserslautern, 2016. | ||
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====== Reviewing Activities ====== | ====== Reviewing Activities ====== | ||
- | * IEEE Trans. Pattern Analysis and Machine Intelligence | + | * IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI) |
- | * International Journal of Computer Vision | + | * International Journal of Computer Vision (IJCV) |
- | * SIAM Journal on Imaging Sciences | + | * SIAM Journal on Imaging Sciences (SIIMS) |
- | * Journal of Mathematical Imaging and Vision | + | * Journal of Mathematical Imaging and Vision (JMIV) |
- | * European Conference on Computer Vision | + | * European Conference on Computer Vision (ECCV) |
- | * International Conference on Computer Vision | + | * International Conference on Computer Vision (ICCV) |
- | * SIAM Journal on Scientific Computing | + | * SIAM Journal on Scientific Computing (JSciComp) |
+ | * Inverse problems (IP) | ||
+ | * AMS Mathematical Reviews | ||
+ | * Computational Mathematics | ||
+ | * Numerical Algorithms | ||
+ | * IMA Journal of Numerical Analysis | ||
+ | * Calcolo | ||
+ | * Scale Space and Variational Methods (SSVM) | ||
+ | * Medical Imaging with Deep Learning (MIDL) | ||
+ | * Österreichischer Wissenschaftsfonds (FWF) | ||
+ | * Deutsche Forschungsgemeinschaft (DFG) | ||
+ | * Nature Scientific Reports | ||
- | ====== Workshops and Conferences ====== | + | ====== Workshop and Conference Organization ====== |
+ | * Minisymposium on Model- and Data-Driven Approaches in Motion Analysis, SIAM Conference on Imaging Science, Atlanta, 2024 | ||
+ | * International Conference on Medical Imaging with Deep Learning (MIDL), Lübeck, 2021 | ||
+ | * Seventh International Conference on [[https://ssvm2019.mic.uni-luebeck.de/|Scale Space and Variational Methods in Computer Vision (SSVM)]], Hofgeismar, 2019 | ||
+ | * Minisymposium on Optimal transport and Applications in Image Analysis, SIAM Conference on Imaging Science, Toronto, 2020 | ||
+ | * Minisymposium on Optimal Transport in Image and Shape Analysis, International Conference on Scientific Computation And Differential Equations (SciCADE), Potsdam, 2015 | ||
+ | * Minisymposium on Tensor- and Manifold-Valued Data, SIAM Conference on Imaging Science, Hong Kong, 2014 | ||
* Workshop on [[http://www.damtp.cam.ac.uk/user/cbs31/Imaging_Workshop_Cambridge_September_2012/Workshop.html|Statistics, Learning and Variational Methods in Imaging]] at the University of Cambridge | * Workshop on [[http://www.damtp.cam.ac.uk/user/cbs31/Imaging_Workshop_Cambridge_September_2012/Workshop.html|Statistics, Learning and Variational Methods in Imaging]] at the University of Cambridge |