Benedikt Wiestler
18 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 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)
Top co-authors
Keywords
anomaly detection
(2)
brain imaging
(2)
class imbalance
(2)
medical imaging
(2)
vision transformer
(2)
medical image analysis
(1)
domain adaptation
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
object detection
(1)
multi-task learning
(1)
data augmentation
(1)
curriculum learning
(1)
medical image classification
(1)
image registration
(1)
gradient-based optimization
(1)
contrastive learning
(1)
image analysis
(1)
biomedical imaging
(1)
representation learning
(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