Weilin Fu - RankMe

17 papers Journal 8Unranked 9

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