Clinical Specialties · Medicine & Health
Radiology & Imaging
The newest papers in Radiology & Imaging that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
14 papers, from 31 August 2026 to 3 November 2026: 13 OpenAlex records and 1 medRxiv preprint.
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Newest papers
Current gaps in downstream applications of fMRI foundation models: lessons learned from BrainLM & BrainHarmonix on Prevent-AD
Foundation models have driven major advancements in the language and vision domains, as seen in the popularity of Artificial Intelligence (AI) tools, and a growing number of studies are bringing the…The 2024 MRSI Data Processing and Quantification Challenge Synthetic Dataset
Synthetic data is central to magnetic resonance spectroscopy method development because they provide ground truths for software validation, reproducible benchmarking, and machine- and deep-learning…Conditional Flow Matching for Cross-Field MRI Harmonisation
Magnetic resonance images of the same subject look markedly different across field strengths, which complicates the comparison and pooling of data across sites.Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution
Resolving complex fiber geometries in brain white matter requires high-resolution diffusion MRI at the cost of long acquisition times.A multicenter benchmark and clinically structured metric for coronary CTA report generation
Reliable evaluation of automated coronary computed tomography angiography (CCTA) report generation requires standardized multicentre benchmarks and clinically structured metrics.RadMatch: Auditable Radiology Report Evaluation via Finding-Level Matching
As AI systems are increasingly used to draft radiology reports, reliably evaluating their clinical quality remains a critical challenge.Learning Task-Specific Antibody Representations via Function-Aware Masking
Antibody-specific language models pretrained via masked language modeling (MLM) learn representations that are critical for downstream sequence design and property prediction tasks.Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift
Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content.Towards an effective medium theory for in-vivo Magnetic Resonance: Characterizing Admissible Magnetization Dynamics
The classical Bloch equation forms the foundation of magnetic resonance theory but may be insufficient to capture the complex effective dynamics observed in heterogeneous materials such as…Multimodal Shared Latent Representation of Narration, Microscope and iOCT Images for Phase Recognition in Vitreoretinal Surgery
Surgical phase recognition is key to context-aware computer-assisted feedback in vitreoretinal procedures, yet the scarcity of synchronized multimodal intraoperative data, particularly microscope…ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography
Accurate segmentation of the coronary vessel lumen is a prerequisite for quantitative assessment of atherosclerotic plaque and perivascular adipose tissue in coronary computed tomography angiography…MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
Cardiac magnetic resonance imaging (CMR) produces rich sequential data such as temporal cine videos and spatial LGE/mapping stacks, yet most deep learning approaches process individual 2D slices…Unimodality and Radial Monotonicity of the Magnetic Resonance Fingerprinting T1/T2 Matching Objective
Magnetic resonance fingerprinting (MRF) estimates tissue parameters by matching an acquired MR signal time course to entries in a Bloch- or EPG-simulated dictionary.Imaging cellular-level brain microstructure with diffusion MRI
Noninvasive live-cell imaging in deep human tissues is crucial for exploring the cellular biological and pathogenic processes, but remains a significant unmet challenge.
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