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
Continuous Space-Time Finite Element Simulations for Biomedical Flows with Large Boundary Motion and Time-Periodicity
We present an axisymmetric continuous simplex space-time finite element method for incompressible fluid flow.MedPhysBench: A Benchmark for Evaluating Language Models on Medical Physics Calculations and Error Detection
Medical physicists turn a prescription into a delivered dose and check one another's calculations, because one error in a beam calibration or a monitor-unit (MU) calculation can affect every patient…Weight-space programming for auditing clinical decision networks
Machine learning models in radiotherapy are commissioned by testing them on cases with known answers, which may not reveal a shortcut that the test cases share with the training data.Findings-aware Language-Image Pretraining for CT Volume Interpretation
Computed tomography (CT) provides diverse patient information and various clinical tasks, for which numerous deep learning models have been investigated.Adaptive Qubit Encoding for Continuous-Variable Quantum Optimization
Optimizing continuous-variable functions on qubit-based quantum hardware requires a finite representation of the search space and a solver-compatible representation of the objective function.OpenULF: A Modular Toolkit Enables Data-Driven Ultra-Low-Field MRI with both Classical and Quantum Sensors
Ultra-low-field (ULF) Magnetic Resonance Imaging (MRI) offers a portable, low-cost alternative to conventional scanners by operating at field strengths below 10 mT.Detection Instead of Inversion: T1-T2 Microstructure Quantification With Detection Transformers
T1-T2 correlation MRI has strong potential to quantify microstructural compartments without imposing a biological model.Prior-Guided Physics-Informed Deep Learning for Fast 4D MRI Reconstruction
Background and purpose: We propose PGPI4MR (prior-guided, physics-informed 4D MRI reconstruction), a deep learning method that leverages information from other respiratory phases or a setup scan…Peripheral prototypical contrastive loss for supervised medical image segmentation
Robust segmentation of biomedical images remains challenging primarily due to ill-defined object boundaries.A geometry-aware framework for electromagnetic fields in GATE 10
An increasing number of medical-physics applications require the modelling of charged-particle transport in electromagnetic (EM) fields.EPC-RawDC: Equivariant Physics Constrained 3D Diffusion with Raw Data Consistency for CBCT to CT Image Synthesis
Cone beam computed tomography (CBCT) is widely used for image guided and adaptive radiotherapy, but scatter, noise, reconstruction artifacts, and inaccurate Hounsfield units limit its quantitative…Comparison of melanin subtypes using pump-probe microscopy
Pump-probe microscopy (PPM) is used to probe excited state dynamics of endogenous chromophores to generate contrast that is unavailable in traditional forms of microscopy.Optimization of 99mTc proton-induced production by means of cross-section measurements of technetium radioisotopes from molybdenum targets
$^{99m}$Tc [t$_{1/2}$=6.0072 h, IT: 99.9963%, E_$γ$=140.51 keV (89%)] is the most widely used radionuclide for SPECT imaging.OpenGray: a benchmark for evaluating the decisions of radiotherapy planning agents
Background and purpose: Radiotherapy planning agents based on large language models (LLMs) decide when to submit a plan or request review but are evaluated mainly by dose.Retrospective macromolecular pool fraction mapping from conventional clinical MRI: a physics-guided self-supervised deep learning framework
Macromolecular pool fraction (MPF) is a quantitative imaging biomarker sensitive to myelin integrity and other changes in tissue macromolecular content, but specialized acquisitions and…FlexiMIND: Combined Pretrained Vision Features and Local Structure for Training-Free Deformable Medical Image Registration
Deformable image registration remains challenging because corresponding anatomy may exhibit different intensity relationships.End-to-end prostate lesion segmentation and detection from undersampled diffusion-weighted MRI
Automated prostate lesion detection from diffusion-weighted MR imaging (DWI) conventionally relies on reconstructed images and does not fully use all acquisition information.Sam-Correction: Fully Adaptive Label Noise Reduction for Medical Image Segmentation
The quality of the teacher label has a dramatic impact on the outcome of the machine learning process.Interactive image diagnosis using test-time backpropagation from the auxiliary task
Multi-task deep learning has been developed to ensure explainability in computer-aided diagnosis (CAD) systems.OPTARI: An open-source software framework for clinical translation of optoacoustic imaging
Combined optoacoustic (OptA) and ultrasound imaging is a promising modality across a wide range of pathologies.
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