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Constantin Ulrich

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

5

Active years

2023–2025

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2025CVPRLesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging.Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2025CVPRRevisiting MAE Pre-training for 3D Medical Image Segmentation.Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Maximilian Miller, Leander Maerkisch, Paul F. Jaeger, Klaus H. Maier-Hein
2025ICCVAn OpenMind for 3D Medical Vision Self-supervised Learning.Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Khler, Klaus Maier-Hein
2025MICCAIThe Missing Piece: A Case for Pre-training in 3D Medical Object Detection.Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica Kchele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein
2024ECCVSkeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein
2024MICCAIBack to the Future: Challenges of Sparse and Irregular Medical Image Time Series.Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein
2024MICCAIScaling nnU-Net for CBCT Segmentation.Fabian Isensee, Yannick Kirchhoff, Lars Krmer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein
2024MICCAInnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jger
2024MICCAIEnhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy.Jessica Kchele, Maximilian Zenk, Maximilian Rokuss, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein
2024MICCAIEfficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net.Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee
2024MICCAIEfficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors.Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee
2024MICCAIOptimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation.Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee
2024MICCAILongitudinal Segmentation of MS Lesions via Temporal Difference Weighting.Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein
2024WACVRecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.Gregor Khler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jrg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2023MICCAIMedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.Saikat Roy, Gregor Khler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein
2023MICCAIMultiTalent: A Multi-dataset Approach to Medical Image Segmentation.Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein