Nina Weng

4 papers · 2024–2026 · 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 · Silver 🚀 Conference Pioneer

Venues

MIDL (2) ECCV (1) MICCAI (1)

Top co-authors

Aasa Feragen (4) Anders Nymark Christensen (2) Eike Petersen (2) Paraskevas Pegios (2) Martin G. Tolsgaard (1) Siavash Arjomand Bigdeli (1) Alceu Bissoto (1) Morten B. S. Svendsen (1) Zahra Bashir (1) Martin Grønnebæk Tolsgaard (1)

Research topics

Healthcare & Medicine (3) Clinical (3) Artificial Intelligence (2) Core AI (2) Computer Vision (1) Deep Learning (1) Machine Learning (1) Core Methods (1) Models (1) Processing (1)

Keywords

shortcut learning (2) medical imaging (1) medical image segmentation (1) model interpretability (1) deep learning model (1) diffusion model (1) subgroup discovery (1) systematic failure (1) counterfactual image generation (1) failure analysis (1) classifier alignment (1) feature utilization (1) slice discovery method (1) weight space correlation (1) cardiac disease classifier (1) self-optimized masking (1)

Papers

SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods MIDL 2026 Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models MIDL 2026 Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation ECCV 2024 Shortcut Learning in Medical Image Segmentation MICCAI 2024