Cattin, Philippe C.

8 publications

ICLR 2026 Beyond Uniformity: Regularizing Implicit Neural Representations Through a Lipschitz Lens Julian McGinnis, Suprosanna Shit, Florian A. Hölzl, Paul Friedrich, Paul Büschl, Vasiliki Sideri-Lampretsa, Mark Mühlau, Philippe C. Cattin, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler

MIDL 2026 MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields Paul Friedrich, Florentin Bieder, Julian McGinnis, Julia Wolleb, Daniel Rueckert, Philippe C. Cattin

MIDL 2026 Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Vincent Ochs, Christoph Kuemmerli, Florentin Bieder, Julia Wolleb, Joël L. Lavanchy, Julia Ruppel, Jan Liechti, Stephanie Taha-Mehlitz, Christian Andreas Nebiker, Beat Müller, Giuseppe Kito Fusai, Joerg-Matthias Pollok, Anas Taha, Philippe C. Cattin, Sebastian Staubli

MIDL 2023 Diffusion Models for Implicit Image Segmentation Ensembles Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin

MIDL 2023 Position Regression for Unsupervised Anomaly Detection Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin

NeurIPS 2019 Recurrent Registration Neural Networks for Deformable Image Registration Robin Sandkühler, Simon Andermatt, Grzegorz Bauman, Sylvia Nyilas, Christoph Jud, Philippe C. Cattin

CVPRW 2016 Sparse Kernel Machines for Discontinuous Registration and Nonstationary Regularization Christoph Jud, Nadia Möri, Philippe C. Cattin

CVPR 2010 Tracking the Invisible: Learning Where the Object Might Be Helmut Grabner, Jiri Matas, Luc Van Gool, Philippe C. Cattin