General & Applied Physics · Physics & Astronomy
Medical Physics
The newest papers in Medical Physics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
40 papers, from 11 September 2026 to 5 November 2026: 40 arXiv preprints.
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Newest papers, page 2
U-NeXt: General-purpose event detection for neonatal EEG
We developed U-NeXt, a general framework for neonatal electroencephalography (EEG) event detection based on semantic segmentation.Geometry-Dependent Properties of Physically Crosslinked PPy-PVA Hydrogels Enable Tunable Iontophoretic Drug Delivery
Iontophoretic drug delivery has primarily relied on current modulation to regulate drug transport.Reference Manual of MEDiml
Radiomics is the high-throughput extraction of quantitative features (e.g., tumor shape, intensity distributions, and texture) from medical images to characterize tissues and uncover disease…MoSAIK: Motion Search with Artificial Intelligence in K-space
Object: Motion artefacts remain a major limitation of routine two-dimensional T2-weighted turbo spin-echo (TSE) brain MRI, reducing diagnostic confidence and often necessitating repeated acquisitions.Determination of the Human-Robot Interaction Workspace for Robot Assisted Head Stabilization Control
Accurate head immobilization is critical for medical procedures such as neuroimaging and intracranial radiation therapy, where even minor motion can compromise precision.DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting
Free-breathing abdominal MRI is limited by respiratory motion, which introduces image artifacts and k-space inconsistencies.Automated carotid artery atherosclerotic inflammation segmentation in PET using MSR-Net
To develop an automated method for segmentation and uptake quantification of carotid atherosclerotic inflammation on 64Cu-CANF-comb PET while accounting for partial-volume and tissue-fraction effects.PMB-NN: Physiological-Model-Based Neural Network for Glucose Forecasting in Type 1 Diabetes
Accurate, physiologically consistent glucose forecasts could help people with type 1 diabetes respond to impending excursions.Expert-level detection of low-voltage intervals in EEG as a robust biomarker of neonatal encephalopathy
Discontinuity in neonatal EEG is a critical marker of brain dysfunction but can be difficult to quantify visually.MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI
Unsupervised anomaly detection (UAD) methods for brain MRI are ranked by a single score, yet that score rests on choices that are rarely reported: how each anomaly map is aligned with the reference…An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study
Head and neck (HN) proton therapy spans six to seven weeks of anatomical change, while offline replanning takes about a week.Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers
Fiber orientation and compartmental microstructure are central to the characterization of white matter tissue in diffusion MRI, yet existing methods either resolve fiber orientations without…You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution
Generative super-resolution models can turn portable 64 mT MRI into images that look like 3T scans, and the field evaluates them with PSNR, SSIM, and pixelwise uncertainty, most often on pairs built…Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound
Cardiac model personalisation requires inferring mechanical parameters that are not directly measurable in vivo.A digital-twin framework for forecasting treatment-day imaging with contour uncertainty in adaptive proton radiotherapy
Head-and-neck anatomy changes over a six-to-seven-week proton course, and the anatomy of a later week cannot be imaged when the plan is made.Towards Sustainable Magnetic Resonance Imaging: Insights from long-term, high-resolution energy recordings across an entire scanner fleet
Magnetic resonance imaging (MRI) is among the most energy-intensive diagnostic modalities in healthcare, yet its energy consumption and the factors influencing it remain insufficiently understood.ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation
Cardiovascular magnetic resonance (CMR) provides comprehensive cardiac assessment but remains underutilized because of the complexity of acquisition, post-processing, and interpretation.Video-Based Markerless Motion Capture for Clinical and Rehabilitation Biomechanics: A PRISMA-ScR Scoping Review of Validated Architectures, Clinical Readiness, and Emerging Methods
Video-based markerless motion capture promises movement analysis without the cost, space and skin-marker constraints of optoelectronic systems, with particular potential for clinical and…From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography
To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determination, and continuous…SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation
Single Ventricle Physiology (SVP) is a rare subtype of congenital heart disease characterized by the presence of a single functional cardiac ventricle with atypical anatomic configurations that…
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