:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Zihao, Hauke, Frederik, De Castilhos, Juliana, Bode, Mathis, Kather, Jakob Nikolas, Nebelung, Sven, Truhn, Daniel
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.17110
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study
by: Zhao, Zihao, et al.
Published: (2026)

MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
by: Wienholt, Patrick, et al.
Published: (2025)

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
by: Han, Tianyu, et al.
Published: (2024)

Large Language Models Streamline Automated Machine Learning for Clinical Studies
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
by: Arasteh, Soroosh Tayebi, et al.
Published: (2025)

Diagnostic Accuracy of Open-Source Vision-Language Models on Diverse Medical Imaging Tasks
by: Müller-Franzes, Gustav, et al.
Published: (2025)

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
by: Müller-Franzes, Gustav, et al.
Published: (2024)

LLM Agents Making Agent Tools
by: Wölflein, Georg, et al.
Published: (2025)

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization
by: Khader, Firas, et al.
Published: (2024)

Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic Entropy
by: Wienholt, Patrick, et al.
Published: (2025)

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering
by: Arasteh, Soroosh Tayebi, et al.
Published: (2024)

Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology
by: Ferber, Dyke, et al.
Published: (2024)

Differential privacy representation geometry for medical image analysis
by: Arasteh, Soroosh Tayebi, et al.
Published: (2026)

Cross-modal linkage risk in clinical vision-language models
by: Arasteh, Soroosh Tayebi, et al.
Published: (2026)

LongHealth: A Question Answering Benchmark with Long Clinical Documents
by: Adams, Lisa, et al.
Published: (2024)

Three-dimensional end-to-end deep learning for brain MRI analysis
by: Juglan, Radhika, et al.
Published: (2025)

Abnormality-Driven Representation Learning for Radiology Imaging
by: Ligero, Marta, et al.
Published: (2024)

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision
by: Arasteh, Soroosh Tayebi, et al.
Published: (2026)

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
by: Kreutzer, Hanna, et al.
Published: (2025)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)

End-To-End Clinical Trial Matching with Large Language Models
by: Ferber, Dyke, et al.
Published: (2024)

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
by: Nahhas, Omar S. M. El, et al.
Published: (2024)

The case for homebrew AI in diagnostic pathology
by: Julien Calderaro, et al.
Published: (2025)

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
by: Wienholt, Patrick, et al.
Published: (2024)

Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
by: Wölflein, Georg, et al.
Published: (2023)

HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
by: Hu, Susu, et al.
Published: (2026)

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)

Role of artificial intelligence in haematolymphoid diagnostics
by: Charlotte Syrykh, et al.
Published: (2024)

Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges
by: Bluethgen, Christian, et al.
Published: (2025)

Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior in Chest Radiography
by: Khoobi, Mahta, et al.
Published: (2025)

T2 Radiomic Features Are More Sensitive Than Mean T2 for Cartilage Load Response: A Stress MRI Study
by: Lemainque, Teresa, et al.
Published: (2025)

Prompt Injection Attacks on Large Language Models in Oncology
by: Clusmann, Jan, et al.
Published: (2024)

In-context learning enables multimodal large language models to classify cancer pathology images
by: Ferber, Dyke, et al.
Published: (2024)

The role of self-supervised pretraining in differentially private medical image analysis
by: Arasteh, Soroosh Tayebi, et al.
Published: (2026)

GAPS: A Clinically Grounded, Automated Benchmark for Evaluating AI Clinicians
by: Chen, Xiuyuan, et al.
Published: (2025)

From Intents to Actions: Agentic AI in Autonomous Networks
by: Demirel, Burak, et al.
Published: (2026)

Six Interventions for the Responsible and Ethical Implementation of Medical AI Agents
by: Bisson, Tom, et al.
Published: (2026)

SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data
by: Goepp, Vivien, et al.
Published: (2025)

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
by: Lenz, Tim, et al.
Published: (2024)