Tobias Lasser

Prof. Dr. rer. nat. Tobias Lasser
Group leader

Email: lasser(at)cit.tum.de
Tel.: n/a
Raum: n/a
Adresse: Boltzmannstr. 11, 85748 Garching, Germany

Research interests

  • Computational Imaging
  • Inverse Problems in Tomographic Reconstruction
  • X-ray Phase-Contrast and Dark-field Imaging
  • Light Field Microscopy
  • Clinical Decision Support in Radiology and Dermatology

Short biography

Positions

since 2024 On leave of absence from Technical University of Munich (Germany)
AI Developer Technology Engineer, NVIDIA
since 2020 Akademischer Rat at Department of Informatics, Technical University of Munich (Germany)
Leader of research group Computational Imaging and Inverse Problems
Principle Investigator at Munich Institute of Biomedical Engineering, Technical University of Munich (Germany)
2015 - 2020 Leader of research group Inverse Problems in Tomography at Chair for Computer Aided Medical Procedures, Technical University of Munich (Germany)
2012 - 2020 Akademischer Rat at Chair for Computer Aided Medical Procedures, Technical University of Munich (Germany)
2011 - 2012 Postdoctoral fellow at Chair for Computer Aided Medical Procedures, Technical University of Munich (Germany)
2006 - 2011 Research assistant at Chair for Computer Aided Medical Procedures, Technical University of Munich (Germany)
2005 - 2006 Research fellow at Massachusetts General Hospital, Harvard University (USA)

Education

2017 Habilitation (Dr. rer. nat. habil.) and Venia legendi (Privatdozent) in Informatics at Technical University of Munich
2011 Graduation as Dr. rer. nat. at Technical University of Munich (summa cum laude)
2008 Graduation as Diplom-Mathematiker Univ. at Technical University of Munich (with high distinction)
2006 Graduation as Diplom-Informatiker Univ. at Technical University of Munich (with high distinction)

List of Publications

2024

  • P. Tang, X. Yan, Y. Nan, X. Hu, B. Menze, S. Krammer, T. Lasser. Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification. Pattern Recognition 154, 2024 DOI
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, T. Koehler, F. Pfeiffer. Robust Sample Information Retrieval in Dark-Field Computed Tomography with a Vibrating Talbot-Lau Interferometer. IEEE Transactions on Medical Imaging , 2024 DOI
  • J. Thalhammer, M. Schultheiss, T. Dorosti, T. Lasser, F. Pfeiffer, D. Pfeiffer, F. Schaff. Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction. Radiology: Artificial Intelligence 6, 2024 DOI
  • A. Riess, T. Dorosti, J. Thalhammer, D. Sasse, A. Sauter, F. Meurer, A. Benne, T. Lasser, F. Pfeiffer, F. Schaff, D. Pfeiffer. Improving image quality of sparse-view lung tumor CT images with U-Net. European Radiology Experimental 8, 2024 DOI
  • A. Wollek, P. Haitzer, T. Sedlmeyr, S. Hyska, J. Rueckel, B. Sabel, M. Ingrisch, T. Lasser. Language model-based labeling of German thoracic radiology reports. Fortschr Röntgenstr , 2024 DOI
  • D. Frank, J. Jelten, T. Lasser. elsa: an elegant framework for tomographic reconstruction. Journal of Open Source Software 9, 2024 DOI
  • A. Wollek, S. Hyska, T. Sedlmeyr, P. Haitzer, J. Rueckel, B. Sabel, M. Ingrisch, T. Lasser. German CheXpert Chest X-ray Radiology Report Labeler. Fortschr Röntgenstr , 2024 DOI
  • J. Page Vizcaino, P. Symvoulidis, Z. Wang, J. Jelten, P. Favaro, E.S. Boyden, T. Lasser. Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows. Biomedical Optics Express 15, 2024 DOI
  • A. Wollek, T. Willem, M. Ingrisch, B. Sabel, T. Lasser. Out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification. Medical Physics 51, 2024 DOI

  • S. Hyska, A. Wollek, P. Haitzer, T. Sedlmeyr, J. Rueckel, B. Sabel, M. Ingrisch, T. Lasser. Automatisiertes Labeling Deutscher Röntgenthoraxbefunde durch Deep Learning. 105. Deutscher Röntgenkongress, Wiesbaden, Germany, May, 2024
  • S. Hyska, A. Wollek, P. Haitzer, T. Sedlmeyr, J. Rueckel, B. Sabel, M. Ingrisch, T. Lasser. Deutscher CheXpert Röntgenthorax Befundlabeler. 105. Deutscher Röntgenkongress, Wiesbaden, Germany, May, 2024
  • S. Hyska, A. Wollek, B. Sabel, M. Ingrisch, T. Lasser. Optimierung der Klassifikationsleistung von maschinellen Lernmodellen in Röntgen-Thoraxaufnahmen durch Adaptive Multiple Fensterung mithilfe von Windownet. 105. Deutscher Röntgenkongress, Wiesbaden, Germany, May, 2024
  • D. Frank, T. Lasser. curadon: an Open-Source Foundational Library for Highly Efficient Differentiable Projectors in X-ray Computed Tomography. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Bamberg, Germany, August, 2024
  • J. Thalhammer, M. Schultheiß, T. Dorosti, T. Lasser, F. Pfeiffer, D. Pfeiffer, F. Schaff. Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via U-Net based Artifact Reduction. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Bamberg, Germany, August, 2024
  • P. Tang, Z. Xu, C. Zhou, P. Wei, P. Han, T. Lasser. Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, February, 2024
  • M. Ursani, T. Do, H-U. Kauczor, H-P. Schlemer, T. Lasser, S. Schönberg, S. Sawall, M. Kachelrieß. Implementation of the German Lung Cancer Screening Protocol and Image Quality Evaluation over Three Generations of CT Systems. European Congress of Radiology, Vienna, Austria, February, 2024
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, T. Koehler, F. Pfeiffer. Advancing X-ray Dark-Field Imaging for Human-Scale Applications: Helical CT and Surview Imaging. SPIE Medical Imaging, San Diego, USA, February, 2024 DOI

  • P. Tang, T. Lasser. Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification. arXiv:2403.19203, 2024 DOI
  • P. Valera, J. Page Vizcaino, T. Lasser. Sparsity-based background removal for STORM super-resolution images. arXiv:2401.07746, 2024 DOI

2023

  • A. Wollek, S. Hyska, B. Sabel, M. Ingrisch, T. Lasser. WindowNet: Learnable Windows for Chest X-ray Classification. Journal of Imaging 9, 2023 DOI
  • E. Pekel, M. Lancho Lavilla, F. Pfeiffer, T. Lasser. Runtime optimization of acquisition trajectories for X-ray computed tomography with a robotic sample holder. Engineering Research Express 5, 2023 DOI
  • R. Kaczmarczyk, T. Lasser, T. Biedermann, J. Ring, A. Zink. Revealing clinically relevant specific IgE sensitization patterns in Hymenoptera venom allergy with dimension reduction and clustering. World Allergy Organization Journal 16, 2023 DOI
  • E. Pekel, M. Dierolf, F. Pfeiffer, T. Lasser. Spherical acquisition trajectories for X-ray computed tomography with a robotic sample holder. Engineering Research Express 5, 2023 DOI
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, T. Koehler, F. Pfeiffer. Advanced Phase-Retrieval for Stepping-Free X-Ray Dark-Field Computed Tomography. IEEE Transactions on Medical Imaging 42, 2023 DOI
  • A. Wollek, R. Graf, S. Čečatka, N. Fink, T. Willem, B. Sabel, T. Lasser. Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification. Radiology: Artificial Intelligence 5, 2023 DOI
  • T. Cheslerean-Boghiu, F. Hofmann, M. Schultheiß, F. Pfeiffer, D. Pfeiffer, T. Lasser. WNet: A Data-driven Dual-domain Denoising Model for Sparse-view Computed Tomography with a Trainable Reconstruction Layer. IEEE Transactions on Computational Imaging 9, 2023 DOI
  • M.C. Schielein, J. Christl, S. Sitaru, C. Pilz, R. Kaczmarczyk, T. Biedermann, T. Lasser, A. Zink. Outlier Detection in Dermatology: Performance of different Convolutional Neural Networks for Binary Classification of Inflammatory Skin Diseases. Journal of the European Academy of Dermatology and Venereology 9, 2023 DOI

  • D. Frank, J. Jelten, T. Lasser. An update to elsa - an elegant framework for tomographic reconstruction. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • T. Cheslerean-Boghiu, F. Pfeiffer, T. Lasser. Translating sparse sinogram measurements into reconstruction patches without geometry information via the attention mechanism. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • E. Pekel, M. Dierolf, F. Pfeiffer, T. Lasser. Spherical acquisition trajectories for X-ray Computed Tomography with a robotic sample holder. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, T. Koehler, F. Pfeiffer. X-ray Dark-Field Imaging at the Human Scale: Helical Computed Tomography and Surview Imaging. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023

  • J. Jelten, A. Wollek, D. Frank, T. Lasser. Equilibrium: Optimization of Ceph Cluster Storage by Size-Aware Shard Balancing arXiv:2310.15805, 2023 DOI
  • P. Tang, Z. Xu, P. Wei, X. Hu, P. Zhao, X. Cao, C. Zhou, T. Lasser. R-R2KAC: Improving Single Image Defocus Deblurring. arXiv:2307.16242, 2023 DOI
  • P. Tang, Y. Nan, T. Lasser. Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images. arXiv:2307.01704, 2023 DOI
  • A. Wollek, S. Hyska, B. Sabel, M. Ingrisch, T. Lasser. Higher Chest X-ray Resolution Improves Classifi- cation Performance. arXiv:2306.06051, 2023 DOI
  • T. Cheslerean-Boghiu, M. Fleischmann, T. Willem, T. Lasser. Transformer-based interpretable multi- modal data fusion for skin lesion classification. arXiv:2304.14505, 2023 DOI
  • T. Dorosti, M. Schultheiss, F. Hofmann, J. Thalhammer, L. Kirchner, T. Urban, F. Pfeiffer, F. Schaff, T. Lasser, D. Pfeiffer. Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging. arXiv:2303.07189, 2023 DOI

2022

  • C. Schmid, M. Viermetz, N. Gustschin, W. Noichl, J. Häusele, T. Lasser, T. Koehler, F. Pfeiffer. Modeling vibrations of a tiled Talbot-Lau interferometer on a clinical CT. IEEE Transactions on Medical Imaging 42, 2022 DOI
  • E. Pekel, F. Schaff, M. Dierolf, F. Pfeiffer, T. Lasser. X-ray computed tomography with seven degree of freedom robotic sample holder. Engineering Research Express 4, 2022 DOI
  • S. Krammer, Y. Li, N. Jakob, A.-S. Böhm, H. Wolff, P. Tang, T. Lasser, L.E. French, D. Hartmann. Deep learning-based classification of dermatological lesions given a limited amount of labeled data. Journal of the European Academy of Dermatology and Venereology 36, 2022 DOI
  • T. Willem, S. Krammer, A.-S. Böhm, L.E. French, D. Hartmann, T. Lasser, A. Buyx. Risks and benefits of dermatological machine learning healthcare applications - an overview an ethical analysis. Journal of the European Academy of Dermatology and Venereology 36, 2022 DOI
  • M. Viermetz, N. Gustschin, C. Schmid, J. Haeusele, M. von Teuffenbach, P. Meyer, F. Bergner, T. Lasser, R. Proksa, T. Koehler, F. Pfeiffer. Dark-field computed tomography reaches the human scale. Proceedings of the National Academy of Sciences of the United States of America 119, 2022 DOI
  • P. Tang, X. Yan, Y. Nan, S. Xiang, S. Krammer, T. Lasser. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Analysis 76, 2022 DOI

  • A. Braimllari, T. Cheslerean-Boghiu, T. Lasser. Hybrid Reconstruction Using Shearlets and Deep Learning for Sparse X-ray Computed Tomography. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
  • E. Pekel, F. Schaff, M. Dierolf, F. Pfeiffer, T. Lasser. Geometric calibration of seven degree of freedom Robotic Sample Holder for X-ray CT. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
  • N. Gustschin, M. Viermetz, C. Schmid, J. Häusele, F. Bergner, T. Lasser, T. Koehler, F. Pfeiffer. Dark-Field Imaging on a Clinical CT System: Performance and Potential based on first Results. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
  • C. Schmid, M. Viermetz, N. Gustschin, J. Häusele, T. Lasser, T. Koehler, F. Pfeiffer.. Dark-Field Imaging on a Clinical CT System: Modelling of Interferometer Vibrations. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, F. Bergner, T. Koehler, F. Pfeiffer. Dark-Field Imaging on a Clinical CT System: Sample Data Processing and Reconstruction. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
  • N. Gustschin, M. Viermetz, C. Schmid, J. Häusele, F. Bergner, T. Lasser, T. Koehler, F. Pfeiffer. Performance and Potential of Human Sized Dark-Field CT Based on Recent Results. IEEE Medical Imaging Conference, Milano, Italy, November, 2022
  • C. Schmid, M. Viermetz, N. Gustschin, J. Häusele, T. Lasser, T. Koehler, F. Pfeiffer. Modelling vibrations of a Talbot-Lau interferometer with tiled analyzer grating on a clinical CT system. IEEE Medical Imaging Conference, Milano, Italy, November, 2022
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, F. Bergner, T. Koehler, F. Pfeiffer. Sample Data Processing of the First Clinical Dark-Field CT Prototype. IEEE Medical Imaging Conference, Milano, Italy, November, 2022

  • T. Cheslerean-Boghiu, F. Pfeiffer, T. Lasser. Task-specific Performance Prediction and Acquisition Optimization for Anisotropic X-ray Dark-field Tomography. arXiv:2207.00332, 2022 DOI

2021

  • J. Page, F. Saltarin, Y. Belyaev, R. Lyck, T. Lasser, P. Favaro. Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images. IEEE Transactions on Computational Imaging 7, 2021 DOI

  • J. Page, Z. Wang, P. Symvoulidis, P. Favaro, B. Guner-Ataman, E. S. Boyden, T. Lasser. Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution. IEEE, International Conference on Computational Photography (ICCP), Haifa, Israel, May, 2021 DOI
  • A. Radutoiu, T. Cheslerean-Boghiu, T. Lasser. Laplace-Beltrami Regularization for Anisotropic X-ray Dark-field Tomography. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Leuven, Belgium, July, 2021
  • T. Cheslerean-Boghiu, D. Pfeiffer, T. Lasser. A Deep Residual Dual Domain Learning Network for Sparse X-ray Computed Tomography. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Leuven, Belgium, July, 2021

2020

  • A. Stefanoiu, G. Scrofani, G. Saavedra, M. Martinez-Corral, T. Lasser. What about computational super-resolution in fluorescence Fourier light field microscopy? Optics Express 28, 2020 DOI

  • D. Tellenbach, T. Lasser. elsa – an elegant framework for precision learning in tomographic recon- struction. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Regensburg, Germany, August, 2020
  • S. Haninger, M. Wieczorek, W. Wein, T. Lasser. Deep Learning Acceleration of OS-SIRT in X-ray Cone-Beam Computed Tomography. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Regensburg, Germany, August, 2020
  • T. Cheslerean-Boghiu, F. Pfeiffer, T. Lasser. Fast Task-Driven Acquisition Optimization for Anisotropic X-ray Dark-field Tomography. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Regensburg, Germany, August, 2020
  • E. Pekel, M. Dierolf, F. Pfeiffer, T. Lasser. X-ray Computed Tomography with a Robotic Sample Holder. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Regensburg, Germany, August, 2020
  • A. Stefanoiu, G. Scrofani, G. Saavedra, M. Martinez-Corral, T. Lasser. 3D deconvolution in Fourier integral microscopy. SPIE Defense + Commercial Sensing, Computational Imaging V, Anaheim, USA, April, 2020
  • M. Anastasopoulou, D. Gorpas, M. Koch, E. Liapis, S. Glasl, U. Klemm, A. Karlas, T. Lasser, V. Ntziachristos. Fluorescence diffusion correction through a spatially variant deconvolution scheme. SPIE Photonics West BIOS, San Francisco, USA, February, 2020

2019

  • A. Stefanoiu, J. Page, P. Symvoulidis, G. Westmeyer, T. Lasser. Artifact-free deconvolution in light field microscopy. Optics Express 27, 2019 DOI
  • A. Maier, C. Syben, T. Lasser, C. Riess. A gentle introduction to deep learning in medical image processing. Zeitschrift für medizinische Physik 29, 2019 DOI
  • M. Anastasopoulou, D. Gorpas, M. Koch, E. Liapis, S. Glasl, U. Klemm, A. Karlas, T. Lasser, V. Ntziachristos. Fluorescence imaging reversion using spatially variant deconvolution. Scientific Reports 9, 2019 DOI

  • T. Cheslerean-Boghiu, F. Pfeiffer, T. Lasser. Task-driven Acquisition in Anisotropic X-ray Dark-Field Tomography. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Philadelphia, USA, June, 2019 DOI
  • T. Lasser, M. Hornung, D. Frank. elsa - an elegant framework for tomographic reconstruction. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Philadelphia, USA, June, 2019 DOI

2018

  • M. Wieczorek, F.Schaff, C. Jud, D. Pfeiffer, F. Pfeiffer, T. Lasser. Brain Connectivity Exposed by Anisotropic X-ray Dark-field Tomography. Scientific Reports 8, 2018 DOI
  • Y. Sharma, S. Bachche, M. Kageyama, M. Kuribayashi, F. Pfeiffer, T. Lasser, A. Momose. Trochoidal X-ray Vector Radiography: Directional Dark-field Without Grating Stepping. Applied Physics Letters 112, 2018 DOI
  • S. Seyyedi, E. Liapi, T. Lasser, R. Ivkov, R. Hwatar, J.W. Stayman. Low-Dose CT Perfusion of the Liver using Reconstruction of Difference. IEEE Transactions on Radiation and Plasma Medical Sciences 2, 2018 DOI
  • S. Seyyedi, M. Wieczorek, F. Pfeiffer, T. Lasser. Incorporating a Noise Reduction Technique into X-ray Tensor Tomography. IEEE Transactions on Computational Imaging 4, 2018 DOI

  • T. Cheslerean-Boghiu, Y. Sharma, F. Pfeiffer, T. Lasser. Detectability Indices in Anisotropic X-ray Dark-Field Tomography International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Salt Lake City, USA, May, 2018

2017

  • P. Symvoulidis, A. Lauri, A. Stefanoiu, M. Cappetta, S. Schneider, H. Jia, A. Stelzl, M. Koch, C. Perez, A. Myklatun, S. Renninger, A. Chmyrov, T. Lasser, W. Wurst, V. Ntziachristos, G. Westmeyer. NeuBtracker – an imaging platform for interrogating neurobehavioral dynamics in freely behaving fish. Nature Methods 14, 2017 DOI
  • Y. Sharma, F. Schaff, M. Wieczorek, F. Pfeiffer, T. Lasser. Design of Acquisition Schemes and Setup Geometry for Anisotropic X-ray Dark-Field Tomography (AXDT). Scientific Reports 7, 2017 DOI

  • S. Seyyedi, E. Liapi, T. Lasser, R. Ivkov, R. Hatwar, J.W. Stayman. Evaluation of Low-Dose CT Perfusion for the Liver using Reconstruction of Difference. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Xi'an, China, June, 2017
  • Y. Sharma, F. Schaff, M. Wieczorek, F. Pfeiffer, T. Lasser. Acquisition Schemes for Directional Dark-field Tomographic Modalities. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Xi'an, China, June, 2017
  • N. Schilling, M. Wieczorek, T. Lasser. Statistical Models for Anisotropic X-Ray Dark- field Tomography. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Xi'an, China, June, 2017
  • M. Wieczorek, F. Pfeiffer, T. Lasser. Micro-structure orientation extraction for Anisotropic X-Ray Dark- Field Tomography. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Xi'an, China, June, 2017

2016

  • M. Wieczorek, F. Schaff, F. Pfeiffer, T. Lasser. Anisotropic X-ray Dark-Field Tomography: A Continuous Model and its Discretization. Physical Review Letters 117, 2016 DOI
  • J. Gardiazabal, P. Matthies, J. Vogel, B. Frisch, N. Navab, S.I. Ziegler, T. Lasser. Flexible Mini Gamma Camera Reconstructions of Extended Sources using Step and Shoot and List Mode. Medical Physics 43, 2016 DOI
  • Y. Sharma, M. Wieczorek, F. Schaff, S. Seyyedi, F. Prade, F. Pfeiffer, T. Lasser. Six dimensional X-ray Tensor Tomography with a compact laboratory setup. Applied Physics Letters 109, 2016 DOI
  • M Baust, A. Weinmann, M. Wieczorek, T. Lasser, M. Storath, N. Navab. Combined tensor fitting and TV regularization in diffusion tensor imaging based on a Riemannian manifold approach. IEEE Transactions on Medical Imaging 35, 2016 DOI
  • A. Fischer, T. Lasser, M. Schrapp, J. Stephan, P. Noël. Object Specific Trajectory Optimization for Industrial X-ray Computed Tomography. Scientific Reports 6, 2016 DOI

  • S. Seyyedi, M. Wieczorek, C. Jud, F. Schaff, F. Pfeiffer, T. Lasser. A Regularized X-ray Tensor Tomography Reconstruction Technique. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Bamberg, Germany, April, 2016
  • Y. Sharma, M. Wieczorek, C. Jud, F. Pfeiffer, T. Lasser. X-ray Tensor Tomography: How much to measure? International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Bamberg, Germany, April, 2016
  • M. Wieczorek, C. Jud, F. Schaff, F. Pfeiffer, T. Lasser. X-ray tensor tomography - a linear system ap- proach to reconstruction. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Bamberg, Germany, April, 2016
  • S. Seyyedi, M. Wieczorek, Y. Sharma, F. Schaff, C. Jud, F. Pfeiffer, T. Lasser. Component-based TV regularization for X-ray Tensor Tomography. International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, April, 2016