no code implementations • 24 Apr 2024 • Constantin Ulrich, Catherine Knobloch, Julius C. Holzschuh, Tassilo Wald, Maximilian R. Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein
This limitation leads to false predictions when applied to body regions beyond the FOV of the training data.
1 code implementation • 15 Apr 2024 • Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus Maier-Hein, Paul F. Jaeger
The release of nnU-Net marked a paradigm shift in 3D medical image segmentation, demonstrating that a properly configured U-Net architecture could still achieve state-of-the-art results.
no code implementations • 3 Apr 2024 • Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus Maier-Hein
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision.
no code implementations • 14 Sep 2023 • Gregor Koehler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
Using medical image segmentation as the evaluation environment, we show that latent feature recycling enables the network to iteratively refine initial predictions even beyond the iterations seen during training, converging towards an improved decision.
no code implementations • 14 Jul 2023 • Silvia D. Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jaeger, Claus P. Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus Maier-Hein
We reformulate COPD binary classification as an anomaly detection task, proposing cOOpD: heterogeneous pathological regions are detected as Out-of-Distribution (OOD) from normal homogeneous lung regions.
no code implementations • 5 Jul 2023 • Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Koehler, Michael Baumgartner, Klaus H. Maier-Hein
Given an ensemble of independently trained models, this results in correlated predictions and common failure modes.
no code implementations • 27 Jun 2023 • Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein
The accurate detection of suspicious regions in medical images is an error-prone and time-consuming process required by many routinely performed diagnostic procedures.
no code implementations • 10 Apr 2023 • Saikat Roy, Tassilo Wald, Gregor Koehler, Maximilian R. Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein
Foundation models have taken over natural language processing and image generation domains due to the flexibility of prompting.
1 code implementation • 25 Mar 2023 • Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein
Our findings offer a new direction for the medical imaging community to effectively utilize the wealth of available data for improved segmentation performance.
no code implementations • 23 Aug 2022 • Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein
Semantic segmentation is one of the most popular research areas in medical image computing.
no code implementations • 22 Mar 2021 • Michael Weber, Tassilo Wald, J. Marius Zöllner
For reliable environment perception, the use of temporal information is essential in some situations.