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publications [2019/04/08 14:35]
jan
publications [2025/06/06 11:05] (current)
jan
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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)]]
 <WRAP clear/> <WRAP clear/>
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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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 <WRAP clear/> <WRAP clear/>
  
-{{::​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