Constantin Ulrich
9 papers · 2024–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (24) π Conference Polyglot (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π₯
Mega-Team
(53)
π
Keyword Champion
(3)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
Conferences
CVPR (2)
MICCAI (2)
NIPS (2)
ECCV (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
medical image segmentation
(4)
3d medical imaging
(3)
brain mri
(2)
self-supervised learning
(2)
transfer learning
(1)
image retrieval
(1)
medical imaging
(1)
deep learning
(1)
out-of-distribution generalization
(1)
lesion segmentation
(1)
iterative refinement
(1)
semantic similarity
(1)
3d segmentation
(1)
masked autoencoder
(1)
computed tomography
(1)
representational similarity
(1)
longitudinal analysis
(1)
segmentation model
(1)
encoder architecture
(1)
latent feature recycling
(1)
Papers
An OpenMind for 3D Medical Vision Self-supervised Learning
ICCV 2025
Revisiting MAE Pre-training for 3D Medical Image Segmentation
CVPR 2025
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
MICCAI 2025
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
CVPR 2025
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
WACV 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
NIPS 2024
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
ECCV 2024
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
MICCAI 2024