Weilin Fu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 17

Top Topics

Image Registration

Vessel Segmentation

Optical Coherence Tomography

Top Venues

Bildverarbeitung für die Medizin

Nat. Mach. Intell.

Int. J. Comput. Assist. Radiol. Surg.

Publications

Weilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier
Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. Bildverarbeitung für die Medizin (2022)
Marcel Reimann, Weilin Fu, Andreas Maier
Novel Evaluation Metrics for Vascular Structure Segmentation. Bildverarbeitung für die Medizin (2021)
Weilin Fu, Leonid Mill, Stephan Seitz, Tobias Geimer, Lasse Kling, Dennis Possart, Silke H. Christiansen, Andreas Maier
Towards Mouse Bone X-ray Microscopy Scan Simulation. Bildverarbeitung für die Medizin (2021)
Weilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier
"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. Int. J. Comput. Assist. Radiol. Surg. 16 (6) (2021)
Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
Degenerating U-Net on Retinal Vessel Segmentation. Bildverarbeitung für die Medizin (2020)
Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas K. Maier
Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Lennart Husvogt, Stefan B. Ploner, James G. Fujimoto, Andreas K. Maier
Modularization of Deep Networks Allows Cross-Modality Reuse. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Lennart Husvogt, Stefan B. Ploner, James G. Fujimoto, Andreas K. Maier
Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse. CoRR (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR (2019)
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
Learning with Known Operators reduces Maximum Training Error Bounds. CoRR (2019)
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. 1 (8) (2019)
Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. CoRR (2019)
Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. CoRR (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier
Frangi-Net. Bildverarbeitung für die Medizin (2018)
Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier
Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR (2017)