Weilin Fu
Weilin Fu, M. Sc.
Academic CV
- Since 07/2019:
Ph.D. candidate in Max Planck Institute for the Science of Light, FAU, Erlangen, Germany - Since 04/2019:
Ph.D. candidate in Pattern Recognition Lab, Department of Computer Science 5, FAU, Erlangen, Germany - 10/2015 – 10/2018:
Master of Medical Engineering, Department of Computer Science 5, FAU, Erlangen, Germany - 09/2011 – 07/2015:
Bachelor in Biomedical Engineering, College of Engineering, Peking University, China
Projects
- 10/2015 – 10/2018:
Airway segmentation at Innovation Group of Siemens Healthineers. - Since 04/2019:
4-D nanoSCOPE: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope
Publications
2022
Conference Contributions
Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_26
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2021
Journal Articles
“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02340-1
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Conference Contributions
Novel Evaluation Metrics for Vascular Structure Segmentation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_20
BibTeX: Download
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ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images
HEALTHINF - 14th International Conference on Health Informatics (Online Streaming, February 11, 2021 - February 13, 2021)
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Towards Mouse Bone X-ray Microscopy Scan Simulation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_32
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Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation
HEALTHINF - 14th International Conference on Health Informatics (Online Streaming, February 11, 2021 - February 13, 2021)
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2020
Conference Contributions
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach
Bildgebung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Springer (ed.): Algorithmen – Systeme – Anwendungen. Proceedings des Workshops 2020
DOI: 10.1007/978-3-658-29267-6_67
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Degenerating u-net on retinal vessel segmentation: What do we really need?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_7
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Imitation learning network for fundus image registration using a divide-and-conquer approach
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_67
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Modularization of deep networks allows cross-modality reuse: lesson learnt
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_61
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Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases
Joint Conference of the GMDS & CEN-IBS 2020 (Online Streaming, September 6, 2020 - September 9, 2020)
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2019
Journal Articles
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
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Conference Contributions
A Divide-and-Conquer Approach towards Understanding Deep Networks
MICCAI 2019 (Shenzhen, China, October 13, 2019 - October 17, 2019)
In: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (ed.): Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen: 2019
DOI: 10.1007/978-3-030-32239-7_21
URL: https://link.springer.com/chapter/10.1007/978-3-030-32239-7_21
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2018
Conference Contributions
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
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Lectures
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