# Archive: List of Publications

**Source**: https://ciip.cit.tum.de/publications.html
**Parent**: https://ciip.cit.tum.de/

### 2025

- P. Tang, X. Yan, X. Hu, K. Wu, T. Lasser, K. Shi.
  Anomaly Detection in Medical Images Using Encoder-Attention-2Decoders Reconstruction.
  IEEE Transactions on Medical Imaging **44**, 2025
  [DOI](https://doi.org/10.1109/TMI.2025.3563482)
- 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.
  Computers in Biology in Medicine **185**, 2025
  [DOI](https://doi.org/10.1016/j.compbiomed.2024.109533)
- 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 **197**, 2025
  [DOI](https://doi.org/10.1055/a-2287-5054)
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- J. Häusele, C. Schmid, J. Hilmer, F. Schaff, T. Lasser, T. Koehler, F. Pfeiffer.
  A Global Phase Retrieval Method for Continuously Acquired Grating-Based Dark-Field Computed Tomography.
  SPIE Medical Imaging 2025, San Diego, USA, , 2025
- J. Häusele, C. Schmid, J. Hilmer, F. Schaff, T. Lasser, T. Koehler, F. Pfeiffer.
  A novel phase retrieval method for continuously acquired grating-based dark-field computed tomography using Tikhonov regularization.
  Proceedings of SPIE BiOS, San Francisco, USA, , 2025
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- H.A. Alhaija, J. Alvarez, M. Bala, T. Cai, T. Cao, L. Cha, J. Chen, M. Chen, F. Ferroni, S. Fidler, D. Fox, Y. Ge, J. Gu, A. Hassani, M. Isaev, P. Jannaty, S. Lan, T. Lasser, H. Ling, M.-Y. Liu, X. Liu, Y. Lu, A. Luo, Q. Ma, H. Mao, F. Ramos, X. Ren, T. Shen, X. Sun, S. Tang, T.-C. Wang, J. Wu, J. Xu, S. Xu, K. Xie, Y. Ye, X. Yang, X. Zeng, Y. Zeng.
  Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.
  arXiv:2503.14492, 2025
  [DOI](https://doi.org/10.48550/arXiv.2503.14492)
- D. Frank, C. Höfs, T. Lasser.
  Statistical Reconstruction For Anisotropic X-ray Dark-Field Tomography.
  arXiv:2501.03160, 2025
  [DOI](https://doi.org/10.48550/arXiv.2501.03160)

### 2024

- T. Kumschier, J. Thalhammer, C. Schmid, J. Häusele, T. Koehler, F. Pfeiffer, T. Lasser, F. Schaff.
  Streak artefact removal in x-ray dark-field computed tomography using a convolutional neural network.
  Medical Physics **51**, 2024
  [DOI](https://doi.org/10.1002/mp.17305)
- 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](https://doi.org/10.1016/j.patcog.2024.110604)
- 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 **43**, 2024
  [DOI](https://doi.org/10.1109/TMI.2024.3400593)
- 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](https://doi.org/10.1148/ryai.230275)
- 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](https://doi.org/10.1186/s41747-024-00450-4)
- D. Frank, J. Jelten, T. Lasser.
  elsa: an elegant framework for tomographic reconstruction.
  Journal of Open Source Software **9**, 2024
  [DOI](https://doi.org/10.21105/joss.06174)
- 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 **196**, 2024
  [DOI](https://doi.org/10.1055/a-2234-8268)
- 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](https://doi.org/10.1364/BOE.504039)
- 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](https://doi.org/10.1002/mp.16790)
\
- 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](http://dx.doi.org/10.1117/12.3006374)
\
- 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](https://doi.org/10.48550/arXiv.2403.19203)
- P. Valera, J. Page Vizcaino, T. Lasser.
  Sparsity-based background removal for STORM super-resolution images.
  arXiv:2401.07746, 2024
  [DOI](https://doi.org/10.48550/arXiv.2401.07746)

### 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](https://doi.org/10.3390/jimaging9120270)
- 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](https://doi.org/10.1088/2631-8695/ad08fd)
- 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](https://doi.org/10.1016/j.waojou.2023.100820)
- 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](https://doi.org/10.1088/2631-8695/acefad)
- 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](http://doi.org/10.1109/TMI.2023.3271413)
- 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](https://doi.org/10.1148/ryai.220187)
- 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](https://doi.org/10.1109/TCI.2023.3240078)
- 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](https://doi.org/10.1111/jdv.18853)
\
- 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](https://doi.org/10.48550/arXiv.2310.15805)
- 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](https://doi.org/10.48550/arXiv.2307.16242)
- 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](https://doi.org/10.48550/arXiv.2307.01704)
- A. Wollek, S. Hyska, B. Sabel, M. Ingrisch, T. Lasser.
  Higher Chest X-ray Resolution Improves Classifi- cation Performance.
  arXiv:2306.06051, 2023
  [DOI](https://doi.org/10.48550/arXiv.2306.06051)
- 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](https://doi.org/10.48550/arXiv.2304.14505)
- 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](https://doi.org/10.48550/arXiv.2303.07189)

### 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](https://doi.org/10.1109/TMI.2022.3217662)
- 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](https://doi.org/10.1088/2631-8695/ac8224)
- 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](https://doi.org/10.1111/jdv.18460)
- 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](https://doi.org/10.1111/jdv.18192)
- 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](https://doi.org/10.1073/pnas.2118799119)
- 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](https://doi.org/10.1016/j.media.2021.102307)
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- 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](https://doi.org/10.1117/12.2646385)
- 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](https://doi.org/10.1117/12.2646492)
- 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](https://doi.org/10.1117/12.2646988)
- 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](https://doi.org/10.1117/12.2646676)
- 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](https://doi.org/10.1117/12.2646440)
- 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
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- 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](https://doi.org/10.48550/arXiv.2207.00332)

### 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](https://doi.org/10.1109/TCI.2021.3097611)
\
- 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](https://doi.org/10.1109/ICCP51581.2021.9466256)
- 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](https://doi.org/10.1364/OE.391189)
\
- 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
- J. Page, P. Favaro.
  Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator.
  IEEE, International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October, 2020
  [DOI](https://doi.org/10.1109/ICIP40778.2020.9190870)
- 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](https://doi.org/10.1364/OE.27.031644)
- 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](https://doi.org/10.1016/j.zemedi.2018.12.003)
- 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](https://doi.org/10.1038/s41598-019-54578-0)
\
- 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](https://doi.org/10.1117/12.2534831)
- 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](https://doi.org/10.1117/12.2534833)

### 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](https://doi.org/10.1038/s41598-018-32023-y)
- 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](https://doi.org/10.1063/1.5020361)
- 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](https://doi.org/10.1109/TRPMS.2018.2812360)
- 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](https://doi.org/10.1109/TCI.2018.2794740)
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- 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](https://doi.org/10.1038/nmeth.4459)
- 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](https://doi.org/10.1038/s41598-017-03329-0)
\
- 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
- I. Laina, N. Rieke, C. Rupprecht, J. Page, A. Eslami, F. Tombari, N. Navab.
  Concurrent segmentation and localization for tracking of surgical instruments.
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, September, 2017
  [DOI](https://arxiv.org/abs/1703.10701)
- J. Page, N. Rieke, D. J. Tan, F. Tombari, A. Eslami, N. Navab.
  Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery.
  Bildverarbeitung für die Medizin (BVM), Heidelberg, Germany, March, 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](https://doi.org/10.1103/PhysRevLett.117.158101)
- 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](https://doi.org/10.1118/1.4966700)
- 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](https://doi.org/10.1063/1.4963649)
- 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](https://doi.org/10.1109/TMI.2016.2528820)
- 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](https://doi.org/10.1038/srep19135)
\
- 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
- N. Rieke, D. J. Tan, F. Tombari, J. Page, C. Amat di San Filippo, A. Eslami, N. Navab.
  Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation.
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October, 2016
  [DOI](https://doi.org/10.1007/978-3-319-46720-7_49)

#### Computational Imaging and Inverse Problems

Prof. Dr. Tobias Lasser\
\
Department of Computer Science\
Munich Institute of Biomedical Engineering\
\
Technical University of Munich\
\
[lasser@cit.tum.de](mailto:lasser@cit.tum.de)