Tobias Würfl

Dr.-Ing. Tobias Würfl

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 10.136
Martensstr. 3
91058 Erlangen

Phone number: +49 9131 85-27799
Fax number: +49 9131 85-27270
Email: tobias.wuerfl@fau.de
Website: https://lme.tf.fau.de/person/wuerfl/

Academic CV

Since 05/2016:
Ph.D. candidate at the Pattern Recognition Lab
01/2019 – 07/2019:
Visiting researcher at MILA in Montreal
04/2014 – 04/2016:
M.Sc. in computer science at FAU
10/2010 – 02/2014:
B.Eng. in medical engineering at OTH-AW

Projects

2019

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

(Third Party Funds Single)

Term: April 1, 2019 - March 31, 2025
Funding source: European Research Council (ERC)
URL: https://cordis.europa.eu/project/id/810316

Abstract

Due to Europe's ageing society, there has been a dramatic increase in the occurrence of osteoporosis (OP) and related diseases. Sufferers have an impaired quality of life, and there is a considerable cost to society associated with the consequent loss of productivity and injuries. The current understanding of this disease needs to be revolutionized, but study has been hampered by a lack of means to properly characterize bone structure, remodeling dynamics and vascular activity. This project, 4D nanoSCOPE, will develop tools and techniques to permit time-resolved imaging and characterization of bone in three spatial dimensions (both in vitro and in vivo), thereby permitting monitoring of bone remodeling and revolutionizing the understanding of bone morphology and its function.

To advance the field, in vivo high-resolution studies of living bone are essential, but existing techniques are not capable of this. By combining state-of-the art image processing software with innovative 'precision learning' software methods to compensate for artefacts (due e.g. to the subject breathing or twitching), and innovative X-ray microscope hardware which together will greatly speed up image acquisition (aim is a factor of 100), the project will enable in vivo X-ray microscopy studies of small animals (mice) for the first time. The time series of three-dimensional X-ray images will be complemented by correlative microscopy and spectroscopy techniques (with new software) to thoroughly characterize (serial) bone sections ex vivo.

The resulting three-dimensional datasets combining structure, chemical composition, transport velocities and local strength will be used by the PIs and international collaborators to study the dynamics of bone microstructure. This will be the first time that this has been possible in living creatures, enabling an assessment of the effects on bone of age, hormones, inflammation and treatment.

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Publications

2024

Journal Articles

Schottenhamml J., Würfl T., Ploner S., Husvogt L., Lämmer R., Hohberger B., Maier A., Mardin CY.:
Glaucoma detection using non-perfused areas in OCTA
In: Scientific Reports 14 (2024), Article No.: 10306
ISSN: 2045-2322
DOI: 10.1038/s41598-024-60839-4
BibTeX: Download
Schottenhamml J., Würfl T., Ploner S., Husvogt L., Lämmer R., Hohberger B., Maier A., Mardin CY.:
Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA
In: Scientific Reports 14 (2024), Article No.: 20414
ISSN: 2045-2322
DOI: 10.1038/s41598-024-71235-3
BibTeX: Download

2023

Conference Contributions

Schottenhamml J., Würfl T., Ploner S., Husvogt L., Maier A., Hohberger B., Mardin CY.:
Impact of acquisition area on deep-learning-based glaucoma detection in OCTA
ARVO annual meeting 2023 (New Orleans)
In: Investigative Ophthalmology & Visual Science 2023
BibTeX: Download

2022

Conference Contributions

Schottenhamml J., Würfl T., Ploner S., Husvogt L., Hohberger B., Fujimoto JG., Maier A.:
Unsupervised OCT Denoising using speckle split
ARVO annual meeting 2022 (Denver)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2022
DOI: 10.1038/s41598-023-37324-5
BibTeX: Download

2021

Journal Articles

Hoffmann M., Buerhop-Lutz C., Reeb L., Pickel T., Winkler T., Doll B., Würfl T., Peters IM., Brabec C., Maier A., Christlein V.:
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
In: Progress in Photovoltaics: Research and Applications (2021)
ISSN: 1099-159X
DOI: 10.1002/pip.3416
BibTeX: Download

Conference Contributions

Kedilioglu O., Lieret M., Schottenhamml J., Würfl T., Blank A., Maier A., Franke J.:
RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) (, February 8, 2021 - February 10, 2021)
DOI: 10.5220/0010187702190226
BibTeX: Download

2020

Conference Contributions

Würfl T., Maass N., Dennerlein F., Maier A.:
Projective Reconstruction of Acquisition Geometry without Point Correspondences
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, August 3, 2020 - August 7, 2020)
In: Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography 2020
Open Access: https://ct-meeting.org/?p=program
BibTeX: Download
Felsner L., Würfl T., Syben-Leisner C., Roser P., Preuhs A., Maier A., Riess C.:
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, August 3, 2020 - August 7, 2020)
BibTeX: Download

Thesis

Würfl T.:
Applications of Data Consistency Conditions in Cone-Beam Computed Tomography (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/15426
BibTeX: Download

2019

Journal Articles

Würfl T., Hoffmann M., Aichert A., Maass N., Dennerlein F., Maier A.:
Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraints.
In: Medical Physics 46 (2019), p. e810-e822
ISSN: 0094-2405
DOI: 10.1002/mp.13625
BibTeX: Download
Stimpel B., Syben-Leisner C., Würfl T., Breininger K., Hölter P., Dörfler A., Maier A.:
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
In: Scientific Reports 9 (2019), Article No.: 18814
ISSN: 2045-2322
DOI: 10.1038/s41598-019-55108-8
BibTeX: Download
Maier A., Syben-Leisner C., Stimpel B., Würfl T., Hoffmann M., Schebesch F., Fu W., Mill L., Kling L., Christiansen SH.:
Learning with Known Operators reduces Maximum Training Error Bounds.
In: Nature Machine Intelligence 1 (2019), p. 373-380
ISSN: 2522-5839
DOI: 10.1038/s42256-019-0077-5
BibTeX: Download

Conference Contributions

Würfl T., Aichert A., Maass N., Dennerlein F., Maier A.:
Estimating the Fundamental Matrix Without Point Correspondences WithApplication to Transmission Imaging
International Conference on Computer Vision 2019 (Seoul, Südkorea, October 27, 2019 - November 2, 2019)
In: Proceedings of the IEEE International Conference on Computer Vision 2019
DOI: 10.1109/iccv.2019.00116
URL: http://openaccess.thecvf.com/content_ICCV_2019/papers/Wurfl_Estimating_the_Fundamental_Matrix_Without_Point_Correspondences_With_Application_to_ICCV_2019_paper.pdf
BibTeX: Download
Reymann M., Würfl T., Ritt P., Cachovan M., Stimpel B., Maier A.:
Deep Image Denoising in SPECT
Annual Congress of the European Association of Nuclear Medicine (Barcelona, October 12, 2019 - October 16, 2019)
In: Springer-Verlag GmbH Germany, part of Springer Nature 2019 (ed.): European Journal of Nuclear Medicine and Molecular Imaging (2019) 46 (Suppl 1): S1–S952, 10.1007/s00259-019-04486-2, Berlin, Heidelberg: 2019
DOI: 10.1007/s00259-019-04486-2
URL: https://link.springer.com/article/10.1007/s00259-019-04486-2
BibTeX: Download
Neufeld D., Würfl T., Gruber R., Schön T., Maier A.:
Realistic Image Synthesis of Imperfect Specimens using Generative Networks
9th Conference on Industrial Computed Tomography (iCT 2019) (Padova)
In: Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019) 2019
Open Access: https://www.ndt.net/article/ctc2019/papers/iCT2019_Full_paper_33.pdf
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Neufeld19-RIS.pdf
BibTeX: Download
Syben-Leisner C., Stimpel B., Lommen J., Würfl T., Dörfler A., Maier A.:
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion
40th German Conference on Pattern Recognition, GCPR 2018 (Stuttgart)
DOI: 10.1007/978-3-030-12939-2_35
BibTeX: Download
Syben-Leisner C., Stimpel B., Lommen J., Würfl T., Dörfler A., Maier A.:
Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_9
BibTeX: Download
Stimpel B., Syben-Leisner C., Würfl T., Breininger K., Lommen J., Dörfler A., Maier A.:
Projection image-to-image translation in hybrid x-ray/MR imaging
Medical Imaging 2019: Image Processing (San Diego, CA, February 19, 2019 - February 21, 2019)
In: Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019
DOI: 10.1117/12.2512195
BibTeX: Download
Aubreville M., Goncalves M., Knipfer C., Oetter N., Würfl T., Neumann H., Stelzle F., Bohr C., Maier A.:
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (Funchal, January 19, 2018 - January 21, 2018)
In: Sergi Bermúdez i Badia, Alberto Cliquet, Sheldon Wiebe, Reyer Zwiggelaar, Paul Anderson, Ana Fred, Hugo Gamboa, Giovanni Saggio (ed.): Communications in Computer and Information Science 2019
DOI: 10.1007/978-3-030-29196-9_4
BibTeX: Download
Reymann M., Würfl T., Stimpel B., Ritt P., Cachovan M., Vija AH., Maier A.:
U-Net for SPECT Image Denoising
2019 IEEE Nuclear Science Symposium (NSS) and Medical Imaging Conference (MIC) (Manchester, October 26, 2019 - November 2, 2019)
In: IEEE (ed.): 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) 2019
DOI: 10.1109/nss/mic42101.2019.9059879
BibTeX: Download

2018

Journal Articles

Würfl T., Hoffmann M., Christlein V., Breininger K., Huang Y., Unberath M., Maier A.:
Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems
In: IEEE Transactions on Medical Imaging 37 (2018), p. 1454-1463
ISSN: 0278-0062
DOI: 10.1109/TMI.2018.2833499
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-DLC.pdf
BibTeX: Download

Conference Contributions

Huang Y., Würfl T., Breininger K., Liu L., Lauritsch G., Maier A.:
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
21st International Conference on Medical Image Computing & Computer Assisted Intervention (Granada, Spain)
In: Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention 2018
DOI: 10.1007/978-3-030-00928-1_17
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SIO.pdf
BibTeX: Download
Fu W., Breininger K., Schaffert R., Ravikumar N., Würfl T., Fujimoto JG., Moult EM., Maier A.:
Frangi-Net: A Neural Network Approach to Vessel Segmentation
BildVerarbeitung für die Medizin (BVM) 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): BildVerarbeitung für die Medizin (BVM) 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_87
URL: https://arxiv.org/abs/1711.03345
BibTeX: Download
Aubreville M., Goncalves M., Knipfer C., Oetter N., Würfl T., Neumann H., Stelzle F., Bohr C., Maier A.:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment
BIOIMAGING 2018 (Funchal, January 19, 2018 - January 21, 2018)
In: Sheldon Wiebe, Hugo Gamboa,Ana Fred, Sergi Bermúdez i Badia (ed.): Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) 2018
DOI: 10.5220/0006534700270034
URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006534700270034
BibTeX: Download
Seitzer M., Yang G., Schlemper J., Oktay O., Würfl T., Christlein V., Wong T., Mohiaddin R., Firmin D., Keegan J., Rueckert D., Maier A.:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018 - September 20, 2018)
In: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I, CHAM: 2018
DOI: 10.1007/978-3-030-00928-1_27
BibTeX: Download
Würfl T., Maass N., Dennerlein F., Maier A.:
A new calibration-free beam hardening reduction method for industrial CT
8th Conference on Industrial Computed Tomography (iCT) 2018 (Wels, Austria)
In: Proceedings of the 8th Conference on Industrial Computed Tomography (iCT) 2018 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-ANC.pdf
BibTeX: Download
Hoppe E., Körzdorfer G., Nitka M., Würfl T., Wetzl J., Lugauer F., Schneider M., Pfeuffer J., Maier A.:
Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoppe18-DLF.pdf
BibTeX: Download
Breininger K., Christlein V., Würfl T., Maier A.:
Deep learning fundamentals
Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Heinz Handels, Thomas Tolxdorff, Thomas M. Deserno, Klaus H. Maier-Hein, Andreas Maier, Christoph Palm (ed.): Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_5
BibTeX: Download
Hoffmann M., Würfl T., Maass N., Dennerlein F., Aichert A., Maier A.:
Empirical Scatter Correction using the Epipolar Consistency Condition
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoffmann18-ESC.pdf
BibTeX: Download
Stimpel B., Syben-Leisner C., Würfl T., Mentl K., Dörfler A., Maier A.:
MR to X-ray Projection Image Synthesis
The 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, USA)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stimpel18-MTX.pdf
BibTeX: Download
Breininger K., Würfl T., Kurzendorfer T., Albarqouni S., Pfister M., Kowarschik M., Navab N., Maier A.:
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning
Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) (Granada, Spain, September 16, 2018 - September 16, 2018)
In: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Springer: 2018
DOI: 10.1007/978-3-030-01364-6_3
BibTeX: Download
Würfl T., Maass N., Dennerlein F., Aichert A., Maier A.:
Physical Constraints for Beam Hardening Reduction using Polynomial Models
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-PCF.pdf
BibTeX: Download
Syben-Leisner C., Stimpel B., Breininger K., Würfl T., Fahrig R., Dörfler A., Maier A.:
Precision Learning: Reconstruction Filter Kernel Discretization
5th International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, Utha, USA)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Syben18-PLR.pdf
BibTeX: Download
Maier A., Schebesch F., Syben-Leisner C., Würfl T., Steidl S., Choi JH., Fahrig R.:
Precision Learning: Towards Use of Known Operators in Neural Networks
24rd International Conference on Pattern Recognition (ICPR) (Beijing, China)
In: 2018 24rd International Conference on Pattern Recognition (ICPR) 2018
DOI: 10.1109/icpr.2018.8545553
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Maier18-PLT.pdf
BibTeX: Download
Aichert A., Jérôme L., Würfl T., Clackdoyle R., Desbat L., Maier A.:
Stereo Rectification for X-ray Data Consistency Conditions
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, United States)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
BibTeX: Download
Horger F., Würfl T., Christlein V., Maier A.:
Towards Arbitrary Noise Augmentation-Deep Learning for Sampling from Arbitrary Probability Distributions
1st Workshop on Machine Learning for Medical Image Reconstruction (MLMIR) held as part of the 21st Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018)
In: MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, CHAM: 2018
DOI: 10.1007/978-3-030-00129-2_15
BibTeX: Download

2017

Conference Contributions

Hammernik K., Würfl T., Pock T., Maier A.:
A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction
Bildverarbeitung für die Medizin (BVM) (Heidelberg, March 12, 2017 - March 14, 2017)
In: Proc. Bildverarbeitung für die Medizin (BVM) 2017, Springer: 2017
DOI: 10.1007/978-3-662-54345-0_25
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hammernik17-ADL.pdf
BibTeX: Download
Hoppe E., Körzdorfer G., Würfl T., Wetzl J., Lugauer F., Pfeuffer J., Maier A.:
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series
62. Jahrestagung der GMDS (Oldenburg, September 17, 2017 - September 21, 2017)
In: German Medical Data Sciences: Visions and Bridges, IOS Press: 2017
DOI: 10.3233/978-1-61499-808-2-202
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hoppe17-DLF.pdf
BibTeX: Download
Würfl T., Maass N., Dennerlein F., Huang X., Maier A.:
Epipolar Consistency Guided Beam Hardening Reduction - ECC²
14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, Shaanxi, China)
In: Proceedings of the 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wurfl17-ECCsquaredFully3D.pdf
BibTeX: Download
Christlein V., Ghesu FC., Würfl T., Maier A., Isensee F., Neher P., Maier-Hein K.:
Tutorial: Deep Learning - Advancing the State-of-the-Art in Medical Image Analysis
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/bvm17_dltut.pdf
BibTeX: Download

2016

Journal Articles

Sedlmayr M., Würfl T., Maier C., Haeberle L., Fasching P., Prokosch HU., Christoph J.:
Optimizing R with SparkR on a commodity cluster for biomedical research
In: Computer Methods and Programs in Biomedicine 137 (2016), p. 321-328
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2016.10.006
BibTeX: Download

Conference Contributions

Würfl T., Ghesu FC., Christlein V., Maier A.:
Deep Learning Computed Tomography
19th International Conference on Medical Image Computing & Computer-Assisted Intervention (Athen)
In: Medical Image Computing and Computer-Assisted Intervention MICCAI 2016 2016
DOI: 10.1007/978-3-319-46726-9_50
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wurfl16-DLC.pdf
BibTeX: Download

Lectures

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Dr.-Ing. Tobias Würfl

Academic CV Academic CV

Projects Projects

2019

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

Publications Publications

2024

Journal Articles

2023

Conference Contributions

2022

Conference Contributions

2021

Journal Articles

Conference Contributions

2020

Conference Contributions

Thesis

2019

Journal Articles

Conference Contributions

2018

Journal Articles

Conference Contributions

2017

Conference Contributions

2016

Journal Articles

Conference Contributions

Lectures Lectures

Academic CV

Projects

Publications

Lectures