Tobias Würfl - RankMe

47 papers A* 1B 2Journal 20Unranked 19

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier
2024	—	`conf`	No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. MICCAI (10) Laura Pfaff, Fabian Wagner, Nastassia Vysotskaya, Mareike Thies, Noah Maul, Siyuan Mei, Tobias Würfl, Andreas K. Maier
2023	—	`conf`	Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. ISBI Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier
2022	—	`ed.`	Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MLMIR@MICCAI Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo
2021	—	`ed.`	Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings MLMIR@MICCAI Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo
2021	—	`conf`	RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments. VISIGRAPP (4: VISAPP) Oguz Kedilioglu, Markus Lieret, Julia Schottenhamml, Tobias Würfl, Andreas Blank, Andreas Maier, Jörg Franke
2020	J	`jnl`	2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network. CoRR Haoyu Wei, Florian Schiffers, Tobias Würfl, Daming Shen, Daniel Kim, Aggelos K. Katsaggelos, Oliver Cossairt
2020	—	`—`	Anwendungen von Datenkonsistenzbedingungen in der Kegelstrahl-Computertomographie (Applications of Data Consistency Conditions in Cone-Beam Computed Tomography) Tobias Würfl
2020	—	`ch.`	Bildanalyse. Handbuch der Künstlichen Intelligenz Andreas Maier, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess
2020	J	`jnl`	Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. CoRR Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
2020	J	`jnl`	Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom. CoRR Florian Schiffers, Thomas Bochynek, André Aichert, Tobias Würfl, Michael Rubenstein, Oliver Cossairt
2020	—	`ed.`	Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings MLMIR@MICCAI Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye
2020	J	`jnl`	Reconstruction of Voxels with Position- and Angle-Dependent Weightings. CoRR Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
2019	—	`conf`	Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. Bildverarbeitung für die Medizin Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier
2019	—	`conf`	Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. Bildverarbeitung für die Medizin Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier
2019	A*	`conf`	Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging. ICCV Tobias Würfl, André Aichert, Nicole Maass, Frank Dennerlein, Andreas K. 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	B	`conf`	Projection image-to-image translation in hybrid x-ray/MR imaging. Image Processing Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	The TCGA Meta-Dataset Clinical Benchmark. CoRR Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen
2019	J	`jnl`	Torchmeta: A Meta-Learning library for PyTorch. CoRR Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio
2018	—	`conf`	Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. MICCAI (1) Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2018	J	`jnl`	Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. CoRR Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2018	J	`jnl`	Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. IEEE Trans. Medical Imaging Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixing Huang, Mathias Unberath, Andreas K. Maier
2018	—	`conf`	Deep Learning Fundamentals. Bildverarbeitung für die Medizin Katharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier
2018	J	`jnl`	Deep Learning for Sampling from Arbitrary Probability Distributions. CoRR Felix Horger, Tobias Würfl, Vincent Christlein, Andreas K. Maier
2018	—	`conf`	Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. GCPR Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier
2018	J	`jnl`	Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. CoRR Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, 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
2018	—	`conf`	Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier
2018	—	`conf`	Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. BIOIMAGING Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2018	B	`conf`	Precision Learning: Towards Use of Known Operators in Neural Networks. ICPR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2018	J	`jnl`	Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier
2018	—	`conf`	Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. MICCAI (1) Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier
2018	—	`conf`	Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions. MLMIR@MICCAI Felix Horger, Tobias Würfl, Vincent Christlein, Andreas K. Maier
2018	—	`conf`	Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. BIOSTEC (Selected Papers) Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2017	J	`jnl`	A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier
2017	—	`conf`	A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. Bildverarbeitung für die Medizin Kerstin Hammernik, Tobias Würfl, Thomas Pock, Andreas K. Maier
2017	—	`conf`	Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. GMDS Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, 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
2017	J	`jnl`	MR to X-Ray Projection Image Synthesis. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier
2017	J	`jnl`	Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment. CoRR Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2017	J	`jnl`	Precision Learning: Towards Use of Known Operators in Neural Networks. CoRR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2017	—	`conf`	Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein
2016	—	`conf`	Deep Learning Computed Tomography. MICCAI (3) Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier
2016	J	`jnl`	Optimizing R with SparkR on a commodity cluster for biomedical research. Comput. Methods Programs Biomed. Martin Sedlmayr, Tobias Würfl, Christian Maier, Lothar Häberle, Peter A. Fasching, Hans-Ulrich Prokosch, Jan Christoph