Home | Tags | #p-menten

#p-menten

Step-Resolved Data Attribution for Looped Transformers

Preprint (Feb. 2026)

#p-menten #p-rueckert

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Preprint (Nov. 2025)

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

Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images

Medical Image Analysis 105.103737. Oct. 2025

#p-menten #p-navab

Efficient Numeracy in Language Models Through Single-Token Number Embeddings

Preprint (Oct. 2025)

#p-menten #p-rueckert

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

CMMCA @MICCAI 2025

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

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases

IEEE Transactions on Medical Imaging Early Access. Aug. 2025

#p-menten #p-rueckert

Specialized Curricula for Training Vision Language Models in Retinal Image Analysis

npj Digital Medicine 8.532. Aug. 2025

#p-menten #p-rueckert

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

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets

CVPR 2025

#p-menten #p-rueckert

Pitfalls of Topology-Aware Image Segmentation

IPMI 2025

#p-menten #p-rueckert

Skelite: Compact Neural Networks for Efficient Iterative Skeletonization

IPMI 2025

#p-menten #p-navab

On Arbitrary Predictions From Equally Valid Models

Preprint (May. 2025)

#p-menten #p-rueckert

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation

ICLR 2025

#p-bauer-u #p-menten #p-rueckert

Unlocking the Diagnostic Potential of Electrocardiograms Through Information Transfer From Cardiac Magnetic Resonance Imaging

Medical Image Analysis 101.103451. Apr. 2025

#p-menten #p-rueckert

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Preprint (Mar. 2025)

#p-menten #p-rueckert #p-schueffler

Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers

WACV 2025

#p-kaissis #p-menten #p-rueckert

Exploring Graphs as Data Representation for Disease Classification in Ophthalmology

GRAIL @MICCAI 2024

#p-menten #p-rueckert

Retinal Small Vessel Pathology Is Associated With Disease Burden in Multiple Sclerosis

Multiple Sclerosis Journal 30.7. Jun. 2024

#p-menten #p-rueckert

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations

IEEE Transactions on Medical Imaging 43.6. Jan. 2024

#p-menten #p-rueckert

Metrics to Quantify Global Consistency in Synthetic Medical Images

DGM4 @MICCAI 2023

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

MICCAI 2023

#p-menten #p-rueckert

A Skeletonization Algorithm for Gradient-Based Optimization

ICCV 2023

#p-menten #p-rueckert #p-schnabel

#p-menten

Step-Resolved Data Attribution for Looped Transformers

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images

Efficient Numeracy in Language Models Through Single-Token Number Embeddings

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

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases

Specialized Curricula for Training Vision Language Models in Retinal Image Analysis

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

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets

Pitfalls of Topology-Aware Image Segmentation

Skelite: Compact Neural Networks for Efficient Iterative Skeletonization

On Arbitrary Predictions From Equally Valid Models

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation

Unlocking the Diagnostic Potential of Electrocardiograms Through Information Transfer From Cardiac Magnetic Resonance Imaging

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers

Exploring Graphs as Data Representation for Disease Classification in Ophthalmology

Retinal Small Vessel Pathology Is Associated With Disease Burden in Multiple Sclerosis

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations

Metrics to Quantify Global Consistency in Synthetic Medical Images

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration

A Skeletonization Algorithm for Gradient-Based Optimization