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#p-wiestler

Knowledge to Sight: Reasoning Over Visual Attributes via Knowledge Decomposition for Abnormality Grounding

WACV 2026

#p-schnabel #p-wiestler

Deep Learning-Based Synthetic Brain MRI for the Assessment of Regional Atrophy Patterns in Neurodegenerative Diseases

European Radiology. Feb. 2026

#p-wachinger #p-wiestler

Improving Out-of-Domain Generalization in Multiple Sclerosis Detection and Segmentation Using Random Convolutions

Pattern Recognition Letters 199. Jan. 2026

#p-rueckert #p-wiestler

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex

Preprint (Jan. 2026)

#p-schnabel #p-wiestler

Measuring and Aligning Abstraction in Vision-Language Models With Medical Taxonomies

Preprint (Jan. 2026)

#p-schnabel #p-wiestler

Train Forwards, Optimize Backwards: Neural Surrogates for Personalized Medical Simulations

DiffSys @EurIPS 2025

#p-rueckert #p-wiestler

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures Towards Domain-Specific Strategies

Preprint (Dec. 2025)

#p-rueckert #p-wachinger #p-wiestler

Optimizing Rank for High-Fidelity Implicit Neural Representations

Preprint (Dec. 2025)

#p-rueckert #p-wiestler

NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI

NeurIPS 2025

#p-schnabel #p-wiestler

TomoGraphView: 3D Medical Image Classification With Omnidirectional Slice Representations and Graph Neural Networks

Preprint (Nov. 2025)

#p-schnabel #p-wiestler

Learning to Reason About Rare Diseases Through Retrieval-Augmented Agents

Preprint (Nov. 2025)

#p-schnabel #p-wiestler

Cross-Domain Semi-Supervised Organ Detection

Preprint (Nov. 2025)

#p-wachinger #p-wiestler

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Preprint (Nov. 2025)

#p-menten #p-rueckert #p-wiestler

NISF++: Geometrically-Grounded Implicit Representations of 3D+time Cardiac Function From 2D Short- And Long-Axis MR Views

Preprint (Nov. 2025)

#p-rueckert #p-wiestler

SegMaST: Mamba-Based Spatio-Temporal Modeling to Improve Longitudinal Detection and Segmentation

Preprint (Nov. 2025)

#p-rueckert #p-wiestler

Brain Tumor Growth Inversion via Differentiable Neural Surrogates

Preprint (Nov. 2025)

#p-rueckert #p-wiestler

From Histology to Diagnosis: Leveraging Pathology Foundation Models for Glioma Classification

Computers in Biology and Medicine 197.Part A. Oct. 2025

#p-schueffler #p-wiestler

A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis

Preprint (Oct. 2025)

#p-rueckert #p-wiestler

Independent Benchmarking of Prompt-Based Medical Segmentation Models

Preprint (Oct. 2025)

#p-rueckert #p-wiestler

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging

CDMRI @MICCAI 2025

#p-wiestler

Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis From Hyperspectral Imaging

CMMCA @MICCAI 2025

#p-menten #p-rueckert #p-wiestler

A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration

CMMCA @MICCAI 2025

#p-rueckert #p-wiestler

MICCAI 2025

#p-cremers #p-rueckert #p-wiestler

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

MICCAI 2025

#p-cremers #p-rueckert #p-wiestler

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

MICCAI 2025

#p-schnabel #p-wiestler

MLMI @MICCAI 2025

#p-rueckert #p-wiestler

GroundingDINO for Open-Set Lesion Detection in Medical Imaging

MSB EMERGE @MICCAI 2025

#p-schnabel #p-wiestler

Towards Quantitative Intensity Analysis of Conventional T1-Weighted Images in Multiple Sclerosis

NeuroImage 318.121395. Sep. 2025

#p-wiestler

Does DINOv3 Set a New Medical Vision Standard?

Preprint (Sep. 2025)

#p-rueckert #p-schnabel #p-wachinger #p-wiestler

PREDICT-GBM: Platform for Robust Evaluation and Development of Individualized Computational Tumor Models in Glioblastoma

Preprint (Sep. 2025)

#p-wiestler

Beyond Benchmarks: Dynamic, Automatic and Systematic Red-Teaming Agents for Trustworthy Medical Language Models

Preprint (Aug. 2025)

#p-rueckert #p-wachinger #p-wiestler

RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance

MIDL 2025

#p-busam #p-navab #p-wiestler

MIDL 2025

#p-wiestler

Benchmarking the CoW With the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Preprint (Jul. 2025)

#p-menten #p-navab #p-rueckert #p-wiestler

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics-Informed Discrete Loss

Nature Communications 16.5982. Jun. 2025

#p-wiestler

Deep Learning-Enabled MRI Phenotyping Uncovers Regional Body Composition Heterogeneity and Disease Associations in Two European Population Cohorts

Preprint (Jun. 2025)

#p-rueckert #p-wiestler

BioSonix: Can Physics-Based Sonification Perceptualize Tissue Deformations From Tool Interactions?

IPMI 2025

#p-navab #p-wiestler

Enhancing Abnormality Grounding for Vision Language Models With Knowledge Descriptions

Preprint (Mar. 2025)

#p-schnabel #p-wiestler

Evaluating Normative Representation Learning in Generative AI for Robust Anomaly Detection in Brain Imaging

Nature Communications 16.1624. Feb. 2025

#p-rueckert #p-schnabel #p-wiestler

Efficient Deep Learning-Based Forward Solvers for Brain Tumor Growth Models

Preprint (Jan. 2025)

#p-rueckert #p-wiestler

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis

Preprint (Jan. 2025)

#p-rueckert #p-wachinger #p-wiestler

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability

MMMI @MICCAI 2024

#p-rueckert #p-schnabel #p-wiestler

Mamba? Catch the Hype or Rethink What Really Helps for Image Registration

WBIR @MICCAI 2024

#p-rueckert #p-wachinger #p-wiestler

Deep Learning for Autosegmentation for Radiotherapy Treatment Planning: State-of-the-Art and Novel Perspectives

Strahlentherapie Und Onkologie 201. Aug. 2024

#p-rueckert #p-schnabel #p-wiestler

Metrics to Quantify Global Consistency in Synthetic Medical Images

DGM4 @MICCAI 2023

#p-menten #p-rueckert #p-wiestler

NISF: Neural Implicit Segmentation Functions

MICCAI 2023

#p-rueckert #p-wiestler

Interpretable Vertebral Fracture Diagnosis

IMIMIC @MICCAI 2022

#p-navab #p-rueckert #p-wiestler

#p-wiestler

Knowledge to Sight: Reasoning Over Visual Attributes via Knowledge Decomposition for Abnormality Grounding

Deep Learning-Based Synthetic Brain MRI for the Assessment of Regional Atrophy Patterns in Neurodegenerative Diseases

Improving Out-of-Domain Generalization in Multiple Sclerosis Detection and Segmentation Using Random Convolutions

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex

Measuring and Aligning Abstraction in Vision-Language Models With Medical Taxonomies

Train Forwards, Optimize Backwards: Neural Surrogates for Personalized Medical Simulations

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures Towards Domain-Specific Strategies

Optimizing Rank for High-Fidelity Implicit Neural Representations

NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI

TomoGraphView: 3D Medical Image Classification With Omnidirectional Slice Representations and Graph Neural Networks

Learning to Reason About Rare Diseases Through Retrieval-Augmented Agents

Cross-Domain Semi-Supervised Organ Detection

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

NISF++: Geometrically-Grounded Implicit Representations of 3D+time Cardiac Function From 2D Short- And Long-Axis MR Views

SegMaST: Mamba-Based Spatio-Temporal Modeling to Improve Longitudinal Detection and Segmentation

Brain Tumor Growth Inversion via Differentiable Neural Surrogates

From Histology to Diagnosis: Leveraging Pathology Foundation Models for Glioma Classification

A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis

Independent Benchmarking of Prompt-Based Medical Segmentation Models

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging

Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis From Hyperspectral Imaging

A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder

GroundingDINO for Open-Set Lesion Detection in Medical Imaging

Towards Quantitative Intensity Analysis of Conventional T1-Weighted Images in Multiple Sclerosis

Does DINOv3 Set a New Medical Vision Standard?

PREDICT-GBM: Platform for Robust Evaluation and Development of Individualized Computational Tumor Models in Glioblastoma

Beyond Benchmarks: Dynamic, Automatic and Systematic Red-Teaming Agents for Trustworthy Medical Language Models

RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance

Curriculum Learning for Language-Guided, Multi-Modal Detection of Various Pathologies

Benchmarking the CoW With the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics-Informed Discrete Loss

Deep Learning-Enabled MRI Phenotyping Uncovers Regional Body Composition Heterogeneity and Disease Associations in Two European Population Cohorts

BioSonix: Can Physics-Based Sonification Perceptualize Tissue Deformations From Tool Interactions?

Enhancing Abnormality Grounding for Vision Language Models With Knowledge Descriptions

Evaluating Normative Representation Learning in Generative AI for Robust Anomaly Detection in Brain Imaging

Efficient Deep Learning-Based Forward Solvers for Brain Tumor Growth Models

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability

Mamba? Catch the Hype or Rethink What Really Helps for Image Registration

Deep Learning for Autosegmentation for Radiotherapy Treatment Planning: State-of-the-Art and Novel Perspectives

Metrics to Quantify Global Consistency in Synthetic Medical Images

NISF: Neural Implicit Segmentation Functions

Interpretable Vertebral Fracture Diagnosis