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Benedikt Wiestler

18 papers · 2019–2026 · 4 venues · across top CS/AI venues

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ‘₯ Mega-Team Β· Civilization ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (75)

Papers

Brain Tumor Growth Inversion via Differentiable Neural Surrogates MIDL 2026 Cross-Domain Semi-Supervised Organ Detection MIDL 2026 SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation MIDL 2026 Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method MICCAI 2025 Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies MIDL 2025 MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis MICCAI 2025 RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance MIDL 2025 Diffusion Models with Implicit Guidance for Medical Anomaly Detection MICCAI 2024 H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration CVPR 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NeurIPS 2024 VariViT: A Vision Transformer for Variable Image Sizes MIDL 2024 Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis MIDL 2024 Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening MIDL 2023 ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023 Why Is the Winner the Best? CVPR 2023 On the Pitfalls of Using the Residual Error as Anomaly Score MIDL 2022 Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation MIDL 2019