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Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 421-441 of 1,441 articles

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers

Artificial intelligence in medical imaging has seen unprecedented growth in the last years, due to...

Apr 2025 http://arxiv.org/abs/2505.02843v1

AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis

Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabili...

Apr 2025 http://arxiv.org/abs/2504.19621v1

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis

Foundation models, trained on vast amounts of data using self-supervised techniques, have emerged ...

Apr 2025 http://arxiv.org/abs/2504.16047v1

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

Deep learning (DL) has achieved remarkable progress in the field of medical imaging. However, adap...

Apr 2025 http://arxiv.org/abs/2504.15865v2

OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding

The practical deployment of medical vision-language models (Med-VLMs) necessitates seamless integr...

Apr 2025 http://arxiv.org/abs/2504.14692v1

Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging

This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based f...

Apr 2025 http://arxiv.org/abs/2504.08635v1

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability

Recent advancements in multi-modal models have significantly improved vision-language alignment in...

Apr 2025 http://arxiv.org/abs/2504.07416v1

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

This paper presents MedSegFactory, a versatile medical synthesis framework that generates high-qua...

Apr 2025 http://arxiv.org/abs/2504.06897v1

Federated Learning for Medical Image Classification: A Comprehensive Benchmark

The federated learning paradigm is wellsuited for the field of medical image analysis, as it can e...

Apr 2025 http://arxiv.org/abs/2504.05238v1

Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed a...

Mar 2025 http://arxiv.org/abs/2504.00232v1

Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation

The advancement of generative AI, particularly in medical imaging, confronts the trilemma of ensur...

Mar 2025 http://arxiv.org/abs/2503.24258v1

MM-UNet: Meta Mamba UNet for Medical Image Segmentation

State Space Models (SSMs) have recently demonstrated outstanding performance in long-sequence mode...

Mar 2025 http://arxiv.org/abs/2503.17540v1

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection

The growing reliance on Artificial Intelligence (AI) in critical domains such as healthcare demand...

Mar 2025 http://arxiv.org/abs/2503.16247v1

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models

Vision-language models (VLMs) have achieved impressive progress in natural image reasoning, yet th...

Mar 2025 http://arxiv.org/abs/2503.13939v4

Organ-aware Multi-scale Medical Image Segmentation Using Text Prompt Engineering

Accurate segmentation is essential for effective treatment planning and disease monitoring. Existi...

Mar 2025 http://arxiv.org/abs/2503.13806v1

Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging

Although Vision Transformers (ViTs) have recently demonstrated superior performance in medical ima...

Mar 2025 http://arxiv.org/abs/2503.09535v1

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

As recent text-conditioned diffusion models have enabled the generation of high-quality images, co...

Mar 2025 http://arxiv.org/abs/2503.08346v1

QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter

Medical image segmentation, particularly tumor segmentation, is a critical task in medical imaging...

Mar 2025 http://arxiv.org/abs/2503.08719v1

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Developing advanced medical imaging retrieval systems is challenging due to the varying definition...

Mar 2025 http://arxiv.org/abs/2503.04653v1

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA

Medical imaging plays a pivotal role in modern healthcare, with computed tomography pulmonary angi...

Mar 2025 http://arxiv.org/abs/2503.02034v1

Using Synthetic Images to Augment Small Medical Image Datasets

Recent years have witnessed a growing academic and industrial interest in deep learning (DL) for m...

Mar 2025 http://arxiv.org/abs/2503.00962v1