Saved in:
| Main Authors: | Erdur, Ayhan Can, Scholz, Daniel, Pan, Jiazhen, Wiestler, Benedikt, Rueckert, Daniel, Peeken, Jan C. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.16729 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder
by: Erdur, Ayhan Can, et al.
Published: (2025)
by: Erdur, Ayhan Can, et al.
Published: (2025)
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
by: Scholz, Daniel, et al.
Published: (2025)
by: Scholz, Daniel, et al.
Published: (2025)
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
by: Scholz, Daniel, et al.
Published: (2025)
by: Scholz, Daniel, et al.
Published: (2025)
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration
by: Jian, Bailiang, et al.
Published: (2024)
by: Jian, Bailiang, et al.
Published: (2024)
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment
by: Seletkov, Dmitrii, et al.
Published: (2025)
by: Seletkov, Dmitrii, et al.
Published: (2025)
TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth
by: Biller, Valentin, et al.
Published: (2026)
by: Biller, Valentin, et al.
Published: (2026)
TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
by: Jian, Bailiang, et al.
Published: (2025)
by: Jian, Bailiang, et al.
Published: (2025)
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies
by: Jian, Bailiang, et al.
Published: (2025)
by: Jian, Bailiang, et al.
Published: (2025)
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
by: Bercea, Cosmin I., et al.
Published: (2024)
by: Bercea, Cosmin I., et al.
Published: (2024)
VariViT: A Vision Transformer for Variable Image Sizes
by: Varma, Aswathi, et al.
Published: (2026)
by: Varma, Aswathi, et al.
Published: (2026)
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
by: Bercea, Cosmin I., et al.
Published: (2024)
by: Bercea, Cosmin I., et al.
Published: (2024)
DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs
by: Pan, Jiazhen, et al.
Published: (2026)
by: Pan, Jiazhen, et al.
Published: (2026)
No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
by: Zhang, Yundi, et al.
Published: (2026)
by: Zhang, Yundi, et al.
Published: (2026)
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
by: Liu, Che, et al.
Published: (2025)
by: Liu, Che, et al.
Published: (2025)
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
by: Atad, Matan, et al.
Published: (2024)
by: Atad, Matan, et al.
Published: (2024)
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)
by: Bubeck, Niklas, et al.
Published: (2025)
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
by: Biller, Valentin, et al.
Published: (2025)
by: Biller, Valentin, et al.
Published: (2025)
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
by: Li, Jun, et al.
Published: (2024)
by: Li, Jun, et al.
Published: (2024)
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
by: Haouari, Zeineb, et al.
Published: (2025)
by: Haouari, Zeineb, et al.
Published: (2025)
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2023)
by: McGinnis, Julian, et al.
Published: (2023)
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
by: Avci, Mehmet Yigit, et al.
Published: (2024)
by: Avci, Mehmet Yigit, et al.
Published: (2024)
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
by: Zhang, Yundi, et al.
Published: (2024)
by: Zhang, Yundi, et al.
Published: (2024)
Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation
by: Pan, Jiazhen, et al.
Published: (2023)
by: Pan, Jiazhen, et al.
Published: (2023)
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
by: Li, Ruochen, et al.
Published: (2024)
by: Li, Ruochen, et al.
Published: (2024)
MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
by: Shen, Weixiang, et al.
Published: (2026)
by: Shen, Weixiang, et al.
Published: (2026)
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration
by: Weidner, Jonas, et al.
Published: (2024)
by: Weidner, Jonas, et al.
Published: (2024)
Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations
by: Moll, Johannes, et al.
Published: (2025)
by: Moll, Johannes, et al.
Published: (2025)
Optimizing Rank for High-Fidelity Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2025)
by: McGinnis, Julian, et al.
Published: (2025)
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
by: Zhang, Yundi, et al.
Published: (2025)
by: Zhang, Yundi, et al.
Published: (2025)
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
by: Pan, Jiazhen, et al.
Published: (2025)
by: Pan, Jiazhen, et al.
Published: (2025)
Direct Cardiac Segmentation from Undersampled K-space Using Transformers
by: Zhang, Yundi, et al.
Published: (2024)
by: Zhang, Yundi, et al.
Published: (2024)
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
by: Bubeck, Niklas, et al.
Published: (2025)
by: Bubeck, Niklas, et al.
Published: (2025)
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
by: Rueckert, Tobias, et al.
Published: (2023)
by: Rueckert, Tobias, et al.
Published: (2023)
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
by: Alaya, Malek Ben, et al.
Published: (2024)
by: Alaya, Malek Ben, et al.
Published: (2024)
Training-Free Dense Hand Contact Estimation with Multi-Modal Large Language Models
by: Jung, Daniel Sungho, et al.
Published: (2026)
by: Jung, Daniel Sungho, et al.
Published: (2026)
Personalization Toolkit: Training Free Personalization of Large Vision Language Models
by: Seifi, Soroush, et al.
Published: (2025)
by: Seifi, Soroush, et al.
Published: (2025)
Evaluation of Deformable Image Registration under Alignment-Regularity Trade-off
by: Sideri-Lampretsa, Vasiliki, et al.
Published: (2025)
by: Sideri-Lampretsa, Vasiliki, et al.
Published: (2025)
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
by: Hu, Qingqiao, et al.
Published: (2024)
by: Hu, Qingqiao, et al.
Published: (2024)
Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
by: Zeybek, Busra Nur, et al.
Published: (2026)
by: Zeybek, Busra Nur, et al.
Published: (2026)
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
by: Mendel, Robert, et al.
Published: (2024)
by: Mendel, Robert, et al.
Published: (2024)
Similar Items
-
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder
by: Erdur, Ayhan Can, et al.
Published: (2025) -
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
by: Scholz, Daniel, et al.
Published: (2025) -
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
by: Scholz, Daniel, et al.
Published: (2025) -
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration
by: Jian, Bailiang, et al.
Published: (2024) -
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment
by: Seletkov, Dmitrii, et al.
Published: (2025)