Dennis Madsen

13 papers A* 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond benchmarks: Towards robust artificial intelligence bone segmentation in socio-technical systems.
Expert Syst. Appl.
Kunpeng Xie, Lennart Johannes Gruber, Martin Crampen, Yao Li, André Ferreira, Elias Tappeiner, Maxime Gillot, Jan Schepers, Jiangchang Xu, Tobias Pankert, Michel Beyer, Negar Shahamiri, Reinier ten Brink, Gauthier Dot, Charlotte Weschke, Niels van Nistelrooij, Pieter-Jan Verhelst, Yan Guo, Zhibin Xu, Jonas Bienzeisler, Ashkan Rashad, Tabea Flügge, Ross Cotton, Shankeeth Vinayahalingam, Robert R. Ilesan, Stefan Raith, Dennis Madsen, Constantin Seibold, Tong Xi, Stefaan Berge', Sven Nebelung, Oldrich Kodym, Osku Sundqvist, Florian M. Thieringer, Hans Lamecker, Antoine Coppens, Thomas Potrusil, Joep Kraeima, Max J. H. Witjes, Guomin Wu, Xiaojun Chen, Adriaan Lambrechts, Lucia H. S. Cevidanes, Stefan Zachow, Alexander Hermans, Daniel Truhn, Victor Alves, Jan Egger, Rainer Röhrig, Frank Hölzle, Behrus Hinrichs-Puladi
2024 A* conf
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks.
ICLR
Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
2023 J jnl
BEND: Benchmarking DNA Language Models on biologically meaningful tasks.
CoRR
Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
2023 J jnl
DeepPeptide predicts cleaved peptides in proteins using conditional random fields.
Bioinform.
Felix Teufel, Jan C. Refsgaard, Christian T. Madsen, Carsten Stahlhut, Mads Grønborg, Ole Winther, Dennis Madsen
2023 J jnl
Deorphanizing Peptides Using Structure Prediction.
J. Chem. Inf. Model.
Felix Teufel, Jan C. Refsgaard, Marina A. Kasimova, Kristine K. Deibler, Christian T. Madsen, Carsten Stahlhut, Mads Grønborg, Ole Winther, Dennis Madsen
2022 J jnl
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression.
CoRR
Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi
2021 — conf
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction.
MICCAI (5)
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter
2020 — conf
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.
ECCV (17)
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
2020 — conf
Learning Shape Priors from Pieces.
ShapeMI@MICCAI
Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi
2019 J jnl
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.
CoRR
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
2019 — conf
Probabilistic Surface Reconstruction with Unknown Correspondence.
UNSURE/CLIP@MICCAI
Dennis Madsen, Thomas Vetter, Marcel Lüthi
2019 — conf
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation.
LABELS/HAL-MICCAI/CuRIOUS@MICCAI
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter
2018 A* conf
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction.
CVPR
Dennis Madsen, Marcel Lüthi, Andreas Schneider, Thomas Vetter