Medical Physics

(The median citation count of Medical Physics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-06-01 to 2024-06-01.)
Report of AAPM Task Group 235 Radiochromic Film Dosimetry: An Update to TG‐55169
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation150
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction139
Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm110
Deep learning based synthetic‐CT generation in radiotherapy and PET: A review101
Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group97
Low‐dose CT image and projection dataset95
Does FLASH deplete oxygen? Experimental evaluation for photons, protons, and carbon ions87
Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods85
A framework for defining FLASH dose rate for pencil beam scanning82
Radiobiology of the FLASH effect78
Ultra‐high dose rate electron beams and the FLASH effect: From preclinical evidence to a new radiotherapy paradigm73
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI73
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance71
AAPM task group report 302: Surface‐guided radiotherapy71
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN71
Ultra‐high dose rate dosimetry: Challenges and opportunities for FLASH radiation therapy69
Feasibility of proton FLASH irradiation using a synchrocyclotron for preclinical studies68
Improving CBCT quality to CT level using deep learning with generative adversarial network64
AAPM Task Group 198 Report: An implementation guide for TG 142 quality assurance of medical accelerators64
Commissioning of an ultra‐high dose rate pulsed electron beam medical LINAC for FLASH RT preclinical animal experiments and future clinical human protocols58
Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non‐equilibrium conditions57
A review of explainable and interpretable AI with applications in COVID‐19 imaging57
Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks54
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer53
Technical Note: SpekPy v2.0—a software toolkit for modeling x‐ray tube spectra53
Machine QA for the Elekta Unity system: A Report from the Elekta MR‐linac consortium52
Vision Transformer‐based recognition of diabetic retinopathy grade52
Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT51
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test–retest and image registration analyses50
Simultaneous dose and dose rate optimization (SDDRO) for FLASH proton therapy49
Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture48
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy47
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans47
Real‐time biomechanics using the finite element method and machine learning: Review and perspective46
Comparison of CBCT‐based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning45
OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset45
FLASH radiotherapy with carbon ion beams44
Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma44
Automatic contouring system for cervical cancer using convolutional neural networks43
Multimodal MRI synthesis using unified generative adversarial networks41
Full‐count PET recovery from low‐count image using a dilated convolutional neural network41
Segmentation of pulmonary nodules in CT images based on 3D‐UNET combined with three‐dimensional conditional random field optimization41
Spread‐out Bragg peak proton FLASH irradiation using a clinical synchrocyclotron: Proof of concept and ion chamber characterization40
Feasibility of real‐time motion tracking using cine MRI during MR‐guided radiation therapy for abdominal targets40
The current status of preclinical proton FLASH radiation and future directions40
Oxygen depletion in FLASH ultra‐high‐dose‐rate radiotherapy: A molecular dynamics simulation39
Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images39
Model studies of the role of oxygen in the FLASH effect37
Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy37
Ion collection efficiency of ionization chambers in ultra‐high dose‐per‐pulse electron beams37
Graph‐convolutional‐network‐based interactive prostate segmentation in MR images37
Design, realization, and characterization of a novel diamond detector prototype for FLASH radiotherapy dosimetry36
CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy36
AAPM Task Group Report 290: Respiratory motion management for particle therapy36
Commissioning of a clinical pencil beam scanning proton therapy unit for ultra‐high dose rates (FLASH)36
Comparison of commercial dosimetric software platforms in patients treated with 177Lu‐DOTATATE for peptide receptor radionuclide therapy34
Commissioning and beam characterization of the first gantry‐mounted accelerator pencil beam scanning proton system34
Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy34
Targeted transfer learning to improve performance in small medical physics datasets33
Evaluation of a deep learning‐based computer‐aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images33
Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features32
FLASH radiotherapy with photon beams32
Development of an ultra‐thin parallel plate ionization chamber for dosimetry in FLASH radiotherapy32
Deep learning‐based radiomics predicts response to chemotherapy in colorectal liver metastases32
PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images31
Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning31
Estimation of pharmacokinetic parameters from DCE‐MRI by extracting long and short time‐dependent features using an LSTM network31
MAD‐UNet: A deep U‐shaped network combined with an attention mechanism for pancreas segmentation in CT images31
Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations30
Cross‐modality deep learning: Contouring of MRI data from annotated CT data only30
Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI30
Deep learning from dual‐energy information for whole‐heart segmentation in dual‐energy and single‐energy non‐contrast‐enhanced cardiac CT30
The structural similarity index for IMRT quality assurance: radiomics‐based error classification30
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation29
Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging29
Technical Note: MRQy — An open‐source tool for quality control of MR imaging data29
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging29
Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study29
Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI29
Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process28
Timing evaluation of a PET detector block based on semi‐monolithic LYSO crystals28
Systematic method for a deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance of volumetric modulated arc therapy28
Independent reaction times method in Geant4‐DNA: Implementation and performance28
Dataset of patient‐derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography27
Detecting MLC modeling errors using radiomics‐based machine learning in patient‐specific QA with an EPID for intensity‐modulated radiation therapy27
Three‐dimensional printing of patient‐specific lung phantoms for CT imaging: Emulating lung tissue with accurate attenuation profiles and textures27
A systematic evaluation of medical 3D printing accuracy of multi‐pathological anatomical models for surgical planning manufactured in elastic and rigid material using desktop inverted vat photopolymer27
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification26
Technical Note: GATE‐RTion: a GATE/Geant4 release for clinical applications in scanned ion beam therapy26
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net26
Planning dosimetry for 90Y radioembolization with glass microspheres: Evaluating the fidelity of 99mTc‐MAA and partition model predictions26
Error detection and classification in patient‐specific IMRT QA with dual neural networks26
Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy25
Automatic clinical target volume delineation for cervical cancer in CT images using deep learning25
Deep learning segmentation of general interventional tools in two‐dimensional ultrasound images25
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications25
Deep‐learning‐based direct inversion for material decomposition25
An attention‐supervised full‐resolution residual network for the segmentation of breast ultrasound images25
AI in medical physics: guidelines for publication25
Methods of monitoring thermal ablation of soft tissue tumors – A comprehensive review25
Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images25
Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet25
Preoperative computed tomography‐guided disease‐free survival prediction in gastric cancer: a multicenter radiomics study24
Clinical commissioning of intensity‐modulated proton therapy systems: Report of AAPM Task Group 18524
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners24
Predicting 3D body shape and body composition from conventional 2D photography24
Automatic multi‐catheter detection using deeply supervised convolutional neural network in MRI‐guided HDR prostate brachytherapy24
Technical Note: A fast and monolithic prototype clinical proton radiography system optimized for pencil beam scanning24
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks24
Reliability of MRI radiomics features in MR‐guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within‐subject agreement24
Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning24
Simultaneous dose and dose rate optimization (SDDRO) of the FLASH effect for pencil‐beam‐scanning proton therapy24
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review23
A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy23
Recommendations on the practice of calibration, dosimetry, and quality assurance for gamma stereotactic radiosurgery: Report of AAPM Task Group 17823
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data23
Dosimetric evaluation of MRI‐guided multi‐leaf collimator tracking and trailing for lung stereotactic body radiation therapy23
Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy23
Breast ultrasound image segmentation: A coarse‐to‐fine fusion convolutional neural network23
B0 field homogeneity recommendations, specifications, and measurement units for MRI in radiation therapy23
A roadmap to clinical trials for FLASH23
Breast ultrasound lesion classification based on image decomposition and transfer learning23
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs23
Automatic delineation of cardiac substructures using a region‐based fully convolutional network23
Intensity‐modulated proton therapy (IMPT) interplay effect evaluation of asymmetric breathing with simultaneous uncertainty considerations in patients with non‐small cell lung cancer23
Multitask 3D CBCT‐to‐CT translation and organs‐at‐risk segmentation using physics‐based data augmentation22
A tool for patient‐specific prediction of delivery discrepancies in machine parameters using trajectory log files22
Self‐contained deep learning‐based boosting of 4D cone‐beam CT reconstruction22
Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks22
A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRI22
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network22
Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning22
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy22
Application and limitation of radiomics approach to prognostic prediction for lung stereotactic body radiotherapy using breath‐hold CT images with random survival forest: A multi‐institutional study22
MRI‐based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients22
Evaluation of GATE‐RTion (GATE/Geant4) Monte Carlo simulation settings for proton pencil beam scanning quality assurance22
First experimental investigation of simultaneously tracking two independently moving targets on an MRI‐linac using real‐time MRI and MLC tracking22
An end‐to‐end‐trainable iterative network architecture for accelerated radial multi‐coil 2D cine MR image reconstruction22
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset22
Probabilistic self‐learning framework for low‐dose CT denoising22
Simplified protocol for whole‐body Patlak parametric imaging with 18F‐FDG PET/CT: Feasibility and error analysis21
Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation21
FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections21
Application of a novel diamond detector for commissioning of FLASH radiotherapy electron beams21
Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer21
Thyroid nodules risk stratification through deep learning based on ultrasound images21
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines21
Hybrid adversarial‐discriminative network for leukocyte classification in leukemia21
A quantitative FLASH effectiveness model to reveal potentials and pitfalls of high dose rate proton therapy21
An ionizing radiation acoustic imaging (iRAI) technique for real‐time dosimetric measurements for FLASH radiotherapy21
A deep learning framework for prostate localization in cone beam CT‐guided radiotherapy21
Cone‐beam CT‐derived relative stopping power map generation via deep learning for proton radiotherapy21
Location and direction dependence in the 3D MTF for a high‐resolution CT system21
A multi‐objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer21
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation21
Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an exter21
Impact of an artificial intelligence deep‐learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study21
An artificial intelligence‐driven agent for real‐time head‐and‐neck IMRT plan generation using conditional generative adversarial network (cGAN)20
Update of the CLRP TG‐43 parameter database for low‐energy brachytherapy sources20
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study20
Three‐dimensional MRI‐based treatment planning approach for non‐invasive ocular proton therapy20
Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning20
Technical Note: Plan‐delivery‐time constrained inverse optimization method with minimum‐MU‐per‐energy‐layer (MMPEL) for efficient pencil beam scanning proton therapy20
Potential of contrast agents based on high‐Z elements for contrast‐enhanced photon‐counting computed tomography20
Rapid multicontrast brain imaging on a 0.35T MR‐linac20
Dosimetric performance of a multipoint plastic scintillator dosimeter as a tool for real‐time source tracking in high dose rate Ir brachytherapy20
Generation of parametric Ki images for FDG PET using two 5‐min scans20
Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT20
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study20
Technical note: Validation of an ultrahigh dose rate pulsed electron beam monitoring system using a current transformer for FLASH preclinical studies20
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging20
Technical note: Proton beam dosimetry at ultra‐high dose rates (FLASH): Evaluation of GAFchromic™ (EBT3, EBT‐XD) and OrthoChromic (OC‐1) film performances20
Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT20
A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images19
An irregular metal trace inpainting network for x‐ray CT metal artifact reduction19
Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning19
A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images19
Real‐time estimation of patient‐specific dose distributions for medical CT using the deep dose estimation19
Surface brachytherapy: Joint report of the AAPM and the GEC‐ESTRO Task Group No. 25319
Variance‐aware attention U‐Net for multi‐organ segmentation19
Optimization for customized trajectories in cone beam computed tomography19
Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images19
CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images19
A comparison of proton stopping power measured with proton CT and x‐ray CT in fresh postmortem porcine structures19
Treatment planning for Flash radiotherapy: General aspects and applications to proton beams19
The impact of phantom design and material‐dependence on repeatability and reproducibility of CT‐based radiomics features19
Complete abdomen and pelvis segmentation using U‐net variant architecture19
DIRECT‐Net: A unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging19
Deep learning‐based AI model for signet‐ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer19
Characterization of a high‐resolution 2D transmission ion chamber for independent validation of proton pencil beam scanning of conventional and FLASH dose delivery19
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer19
Toward magnetic resonance fingerprinting for low‐field MR‐guided radiation therapy19
External validation of radiomics‐based predictive models in low‐dose CT screening for early lung cancer diagnosis18
Artificial intelligence in multiparametric magnetic resonance imaging: A review18
Incorporation of residual attention modules into two neural networks for low‐dose CT denoising18
Analysis of characteristics of images acquired with a prototype clinical proton radiography system18
Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning18
How can scanned proton beam treatment planning for low‐grade glioma cope with increased distal RBE and locally increased radiosensitivity for late MR‐detected brain lesions?18
Radioprotective effect of X‐ray abdominal FLASH irradiation: Adaptation to oxidative damage and inflammatory response may be benefiting factors18
Attention‐based deep learning system for automated diagnoses of age‐related macular degeneration in optical coherence tomography images18
Proton range uncertainty reduction benefits for skull base tumors in terms of normal tissue complication probability (NTCP) and healthy tissue doses18
Marker‐free optical stereo motion tracking for in‐bore MRI and PET‐MRI application18
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers18
Phantom task‐based image quality assessment of three generations of rapid kV‐switching dual‐energy CT systems on virtual monoenergetic images18
Cardiac radioablation for atrial fibrillation: Target motion characterization and treatment delivery considerations18
Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging18
Detailed identification of epidermal growth factor receptor mutations in lung adenocarcinoma: Combining radiomics with machine learning18
3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound18
Technical Note: 4D robust optimization in small spot intensity‐modulated proton therapy (IMPT) for distal esophageal carcinoma17
Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy17
Gastrointestinal 4D MRI with respiratory motion correction17
A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks17
A multiple‐channel and atrous convolution network for ultrasound image segmentation17
Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation17
Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients17
Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning17
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry during brachytherapy17
Challenges in ensuring the generalizability of image quantitation methods for MRI17
A conformal TOF–DOI Prism‐PET prototype scanner for high‐resolution quantitative neuroimaging17
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters17
Investigation of inter‐fraction target motion variations in the context of pencil beam scanned proton therapy in non‐small cell lung cancer patients17
Time structure of pencil beam scanning proton FLASH beams measured with scintillator detectors and compared with log files17
SAUN: Stack attention U‐Net for left ventricle segmentation from cardiac cine magnetic resonance imaging17
Energy layer optimization via energy matrix regularization for proton spot‐scanning arc therapy17
Silicon photomultiplier‐based scintillation detectors for photon‐counting CT: A feasibility study17
Low‐dose CT denoising via convolutional neural network with an observer loss function17
ARPM‐net: A novel CNN‐based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images17
Linear energy transfer weighted beam orientation optimization for intensity‐modulated proton therapy17
Using deep learning to predict beam‐tunable Pareto optimal dose distribution for intensity‐modulated radiation therapy17
FRoG: An independent dose and LETd prediction tool for proton therapy at ProBeam® facilities17
Corneal nerve tortuosity grading via ordered weighted averaging‐based feature extraction17
A 2D strip ionization chamber array with high spatiotemporal resolution for proton pencil beam scanning FLASH radiotherapy17
Diffuse large B‐cell lymphoma segmentation in PET‐CT images via hybrid learning for feature fusion17
Monte Carlo simulated beam quality and perturbation correction factors for ionization chambers in monoenergetic proton beams16
Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks16
Technical Note: Cardiac synchronized volumetric modulated arc therapy for stereotactic arrhythmia radioablation — Proof of principle16
Statistical process control and process capability analysis for non‐normal volumetric modulated arc therapy patient‐specific quality assurance processes16
Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 29416
A deep learning model to predict dose–volume histograms of organs at risk in radiotherapy treatment plans16
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis16
Characterization of an organic semiconductor diode for dosimetry in radiotherapy16
Single pencil beam benchmark of a module for Monte Carlo simulation of proton transport in the PENELOPE code16
Experimental assessment of microwave ablation computational modeling with MR thermometry16
Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments16
Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms16