Search Results for author: Constantin Ulrich

Found 7 papers, 3 papers with code

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement

no code implementations14 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.

Decision Making Image Segmentation +3

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

1 code implementation25 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.

Image Segmentation Lesion Segmentation +3

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

1 code implementation17 Mar 2023 Saikat Roy, Gregor Koehler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus Maier-Hein

This leads to state-of-the-art performance on 4 tasks on CT and MRI modalities and varying dataset sizes, representing a modernized deep architecture for medical image segmentation.

Image Segmentation Segmentation +2

Extending nnU-Net is all you need

no code implementations23 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.

Segmentation Semantic Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.