Finn Behrendt

4 papers · 2023–2024 · 2 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 🚀 Conference Pioneer

Venues

MIDL (3) MICCAI (1)

Top co-authors

Alexander Schlaefer (4) Debayan Bhattacharya (4) Roland Opfer (3) Lennart Maack (3) Julia Kruger (3) Robin Mieling (1) Sarah Latus (1)

Research topics

Deep Learning (3) Computer Vision (2) Machine Learning (2) Domain-Specific (2) Models (2) Healthcare & Medicine (1) Analysis (1) Application Areas (1) Clinical (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

unsupervised anomaly detection (2) diffusion model (2) image reconstruction (1) student network (1) dice score (1) teacher network (1) brain mri (1) real time (1) healthy brain synthesis (1) pseudo-healthy reconstruction (1) self-supervised uad (1) u-net (1) semantic segmentation (1) logits (1) knowledge distillation (1)

Papers

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs MIDL 2024 Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation MIDL 2024 Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection MICCAI 2024 Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI MIDL 2023