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Benedikt Wiestler

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

Achievements

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+7 more ↓ 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)
🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 👥 Mega-Team (125) Prolific Year (6) 🚀 Conference Pioneer The Questioner 💎 Century Club (13)

Conferences

MIDL (12) MICCAI (3) CVPR (2) NIPS (1)

Papers

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