conftrace_

Philipp Vollmuth

3 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ECCV (1) MIDL (1) WACV (1)

Top co-authors

Klaus H. Maier-Hein (2) Lukas Klein (1) Saikat Roy (1) Yannick Kirchhoff (1) Priyank Upadhya (1) Jens Kleesiek (1) Gianluca Brugnara (1) Laurenz Adrian Heidrich (1) Martha Foltyn-Dumitru (1) Paul F. Jaeger (1)

Research topics

Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Machine Learning (1) Analysis (1) Application Areas (1) Clinical (1) Core AI (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

causal inference (1) curriculum learning (1) object detection (1) medical imaging (1) feature attribution (1) conditional average treatment effect (1) language-guided detection (1) pathology detection (1) multimodal detection (1) predictive biomarker (1) imaging biomarker (1)

Papers

Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies MIDL 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures ECCV 2024