---
title: "Radiology, Nuclear Medicine and Imaging — papers"
description: "Radiology, Nuclear Medicine and Imaging: 2 papers of the Elamur Research library, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/medicine/radiology-nuclear-medicine-and-imaging/"
---
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# 🩺 Radiology, Nuclear Medicine and Imaging

2 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Radiology, Nuclear Medicine and Imaging is a subfield of Medicine in the OpenAlex classification of science. The topics most of its papers here are on: «COVID-19 diagnosis using AI», «Radiomics and Machine Learning in Medical Imaging».

## Papers (2)

1. [**RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-radtimeline-timeline-summarization-longitudinal-radiological/)
2. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/)

Updated 24 October 2026

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