Bernhard Kainz
25 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(11)
Computer Vision
(10)
Machine Learning
(8)
Models
(8)
Learning Types Β· Deep Learning
(5)
Domain-Specific
(4)
Processing
(4)
Healthcare & Medicine
(3)
Analysis
(3)
Clinical
(3)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Core Methods
(2)
Generation
(2)
Optimization & Theory
(2)
Keywords
diffusion model
(6)
generative model
(2)
unsupervised learning
(2)
image segmentation
(1)
manifold learning
(1)
variational inference
(1)
image generation
(1)
feature extraction
(1)
image retrieval
(1)
uncertainty quantification
(1)
medical imaging
(1)
image synthesis
(1)
image reconstruction
(1)
human pose estimation
(1)
dimension reduction
(1)
medical image segmentation
(1)
variational bayesian
(1)
image registration
(1)
magnetic resonance imaging
(1)
domain adaptation
(1)
Papers
SuD-CoTAN: Sulcal Depth-guided Anatomically Consistent Fetal Cortical Surface Reconstruction
MIDL 2026
Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation
MIDL 2026
Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing.
MIDL 2025
Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models
MIDL 2025
Image Generation Diversity Issues and How to Tame Them
CVPR 2025
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
MICCAI 2025
Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
MICCAI 2025
Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
MICCAI 2025
SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models
ICCV 2025
Arc2Face: A Foundation Model for ID-Consistent Human Faces
ECCV 2024
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
MICCAI 2024
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
MICCAI 2024
Image Distillation for Safe Data Sharing in Histopathology
MICCAI 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
NeurIPS 2024
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
ECCV 2024
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
AAAI 2024
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
MICCAI 2024
URCDM: Ultra-Resolution Image Synthesis in Histopathology
MICCAI 2024
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
MICCAI 2024
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models
ICCV 2023
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
CVPR 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
ECCV 2022
Unsupervised Human Pose Estimation Through Transforming Shape Templates
CVPR 2021
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
JMLR 2020
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
JMLR 2019