Medical Physics

Article	Citations
Report of AAPM Task Group 235 Radiochromic Film Dosimetry: An Update to TG‐55	173
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation	151
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction	141
Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm	113
Deep learning based synthetic‐CT generation in radiotherapy and PET: A review	104
Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group	100
Low‐dose CT image and projection dataset	97
Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods	91
A framework for defining FLASH dose rate for pencil beam scanning	90
Does FLASH deplete oxygen? Experimental evaluation for photons, protons, and carbon ions	89
Radiobiology of the FLASH effect	82
Ultra‐high dose rate electron beams and the FLASH effect: From preclinical evidence to a new radiotherapy paradigm	77
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI	74
AAPM task group report 302: Surface‐guided radiotherapy	74
Ultra‐high dose rate dosimetry: Challenges and opportunities for FLASH radiation therapy	74
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance	72
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN	71
AAPM Task Group 198 Report: An implementation guide for TG 142 quality assurance of medical accelerators	66
Improving CBCT quality to CT level using deep learning with generative adversarial network	66
Commissioning of an ultra‐high dose rate pulsed electron beam medical LINAC for FLASH RT preclinical animal experiments and future clinical human protocols	60
A review of explainable and interpretable AI with applications in COVID‐19 imaging	60
Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non‐equilibrium conditions	60
Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks	55
Technical Note: SpekPy v2.0—a software toolkit for modeling x‐ray tube spectra	55
Machine QA for the Elekta Unity system: A Report from the Elekta MR‐linac consortium	54

Vision Transformer‐based recognition of diabetic retinopathy grade	54
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer	53
Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT	53
Simultaneous dose and dose rate optimization (SDDRO) for FLASH proton therapy	50
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test–retest and image registration analyses	50
Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture	50
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans	50
FLASH radiotherapy with carbon ion beams	47
Real‐time biomechanics using the finite element method and machine learning: Review and perspective	47
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy	47
OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset	46
Comparison of CBCT‐based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning	46
The current status of preclinical proton FLASH radiation and future directions	46
Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma	45
Automatic contouring system for cervical cancer using convolutional neural networks	43
Multimodal MRI synthesis using unified generative adversarial networks	42
Spread‐out Bragg peak proton FLASH irradiation using a clinical synchrocyclotron: Proof of concept and ion chamber characterization	42
Full‐count PET recovery from low‐count image using a dilated convolutional neural network	41
Ion collection efficiency of ionization chambers in ultra‐high dose‐per‐pulse electron beams	40
Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images	40
Model studies of the role of oxygen in the FLASH effect	40
Oxygen depletion in FLASH ultra‐high‐dose‐rate radiotherapy: A molecular dynamics simulation	39
Graph‐convolutional‐network‐based interactive prostate segmentation in MR images	38
FLASH radiotherapy with photon beams	38
Targeted transfer learning to improve performance in small medical physics datasets	38
Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy	38
AAPM Task Group Report 290: Respiratory motion management for particle therapy	37
CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy	37
Design, realization, and characterization of a novel diamond detector prototype for FLASH radiotherapy dosimetry	37
Commissioning of a clinical pencil beam scanning proton therapy unit for ultra‐high dose rates (FLASH)	37
Development of an ultra‐thin parallel plate ionization chamber for dosimetry in FLASH radiotherapy	37
Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy	34
Comparison of commercial dosimetric software platforms in patients treated with 177Lu‐DOTATATE for peptide receptor radionuclide therapy	34
Commissioning and beam characterization of the first gantry‐mounted accelerator pencil beam scanning proton system	34
Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning	33
MAD‐UNet: A deep U‐shaped network combined with an attention mechanism for pancreas segmentation in CT images	33
Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features	33
PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images	32
Deep learning‐based radiomics predicts response to chemotherapy in colorectal liver metastases	32
Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations	31
Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study	31
Independent reaction times method in Geant4‐DNA: Implementation and performance	31
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Technical Note: MRQy — An open‐source tool for quality control of MR imaging data	31
Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI	31
Deep learning from dual‐energy information for whole‐heart segmentation in dual‐energy and single‐energy non‐contrast‐enhanced cardiac CT	31
The structural similarity index for IMRT quality assurance: radiomics‐based error classification	30
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation	30
Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging	30
Cross‐modality deep learning: Contouring of MRI data from annotated CT data only	30

Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI	30
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging	29
Systematic method for a deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance of volumetric modulated arc therapy	29
Three‐dimensional printing of patient‐specific lung phantoms for CT imaging: Emulating lung tissue with accurate attenuation profiles and textures	29
Dataset of patient‐derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography	28
Timing evaluation of a PET detector block based on semi‐monolithic LYSO crystals	28
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 photopolymer	28
Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process	28
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review	27
A quantitative FLASH effectiveness model to reveal potentials and pitfalls of high dose rate proton therapy	27
Methods of monitoring thermal ablation of soft tissue tumors – A comprehensive review	27
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net	27
Planning dosimetry for 90Y radioembolization with glass microspheres: Evaluating the fidelity of 99mTc‐MAA and partition model predictions	27
Detecting MLC modeling errors using radiomics‐based machine learning in patient‐specific QA with an EPID for intensity‐modulated radiation therapy	27
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification	26
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications	26
Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy	26
Error detection and classification in patient‐specific IMRT QA with dual neural networks	26
Deep‐learning‐based direct inversion for material decomposition	26
AI in medical physics: guidelines for publication	26
Reliability of MRI radiomics features in MR‐guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within‐subject agreement	25
An attention‐supervised full‐resolution residual network for the segmentation of breast ultrasound images	25
Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images	25
Simultaneous dose and dose rate optimization (SDDRO) of the FLASH effect for pencil‐beam‐scanning proton therapy	25
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data	25
Breast ultrasound image segmentation: A coarse‐to‐fine fusion convolutional neural network	25
Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning	25
Deep learning segmentation of general interventional tools in two‐dimensional ultrasound images	25
A roadmap to clinical trials for FLASH	25
Predicting 3D body shape and body composition from conventional 2D photography	25
Automatic clinical target volume delineation for cervical cancer in CT images using deep learning	25
Technical Note: A fast and monolithic prototype clinical proton radiography system optimized for pencil beam scanning	25
Intensity‐modulated proton therapy (IMPT) interplay effect evaluation of asymmetric breathing with simultaneous uncertainty considerations in patients with non‐small cell lung cancer	25
Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet	25
Preoperative computed tomography‐guided disease‐free survival prediction in gastric cancer: a multicenter radiomics study	24
Clinical commissioning of intensity‐modulated proton therapy systems: Report of AAPM Task Group 185	24
Breast ultrasound lesion classification based on image decomposition and transfer learning	24
A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy	24
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners	24
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks	24
B0 field homogeneity recommendations, specifications, and measurement units for MRI in radiation therapy	24
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Dosimetric evaluation of MRI‐guided multi‐leaf collimator tracking and trailing for lung stereotactic body radiation therapy	23
Self‐contained deep learning‐based boosting of 4D cone‐beam CT reconstruction	23
Recommendations on the practice of calibration, dosimetry, and quality assurance for gamma stereotactic radiosurgery: Report of AAPM Task Group 178	23
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study	23
A tool for patient‐specific prediction of delivery discrepancies in machine parameters using trajectory log files	23
A multi‐objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer	23
MRI‐based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients	23
Technical Note: Plan‐delivery‐time constrained inverse optimization method with minimum‐MU‐per‐energy‐layer (MMPEL) for efficient pencil beam scanning proton therapy	23
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs	23
Automatic delineation of cardiac substructures using a region‐based fully convolutional network	23
Cone‐beam CT‐derived relative stopping power map generation via deep learning for proton radiotherapy	22
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy	22
Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation	22
A 2D strip ionization chamber array with high spatiotemporal resolution for proton pencil beam scanning FLASH radiotherapy	22
Application of a novel diamond detector for commissioning of FLASH radiotherapy electron beams	22
Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks	22
Three‐dimensional MRI‐based treatment planning approach for non‐invasive ocular proton therapy	22
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network	22
Multitask 3D CBCT‐to‐CT translation and organs‐at‐risk segmentation using physics‐based data augmentation	22
First experimental investigation of simultaneously tracking two independently moving targets on an MRI‐linac using real‐time MRI and MLC tracking	22
An end‐to‐end‐trainable iterative network architecture for accelerated radial multi‐coil 2D cine MR image reconstruction	22
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset	22
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 exter	22
Probabilistic self‐learning framework for low‐dose CT denoising	22
Evaluation of GATE‐RTion (GATE/Geant4) Monte Carlo simulation settings for proton pencil beam scanning quality assurance	22
Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning	22
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging	22
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Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation	22
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 study	22
A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRI	22
Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer	21
Thyroid nodules risk stratification through deep learning based on ultrasound images	21
An artificial intelligence‐driven agent for real‐time head‐and‐neck IMRT plan generation using conditional generative adversarial network (cGAN)	21
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines	21
An ionizing radiation acoustic imaging (iRAI) technique for real‐time dosimetric measurements for FLASH radiotherapy	21
A deep learning framework for prostate localization in cone beam CT‐guided radiotherapy	21
Treatment planning for Flash radiotherapy: General aspects and applications to proton beams	21

Location and direction dependence in the 3D MTF for a high‐resolution CT system	21
Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT	21
Impact of an artificial intelligence deep‐learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study	21
Simplified protocol for whole‐body Patlak parametric imaging with 18F‐FDG PET/CT: Feasibility and error analysis	21
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study	21
A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images	21
Artificial intelligence in multiparametric magnetic resonance imaging: A review	20
Rapid multicontrast brain imaging on a 0.35T MR‐linac	20
Surface brachytherapy: Joint report of the AAPM and the GEC‐ESTRO Task Group No. 253	20
Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging	20
DIRECT‐Net: A unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging	20
Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT	20
A conformal TOF–DOI Prism‐PET prototype scanner for high‐resolution quantitative neuroimaging	20
Update of the CLRP TG‐43 parameter database for low‐energy brachytherapy sources	20
Toward magnetic resonance fingerprinting for low‐field MR‐guided radiation therapy	20
Variance‐aware attention U‐Net for multi‐organ segmentation	20
Technical note: Proton beam dosimetry at ultra‐high dose rates (FLASH): Evaluation of GAFchromic™ (EBT3, EBT‐XD) and OrthoChromic (OC‐1) film performances	20
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?	20
Potential of contrast agents based on high‐Z elements for contrast‐enhanced photon‐counting computed tomography	20
Real‐time estimation of patient‐specific dose distributions for medical CT using the deep dose estimation	20
Technical note: Validation of an ultrahigh dose rate pulsed electron beam monitoring system using a current transformer for FLASH preclinical studies	20
Generation of parametric Ki images for FDG PET using two 5‐min scans	20
Complete abdomen and pelvis segmentation using U‐net variant architecture	20
Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning	20
A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images	19
A comparison of proton stopping power measured with proton CT and x‐ray CT in fresh postmortem porcine structures	19
Time structure of pencil beam scanning proton FLASH beams measured with scintillator detectors and compared with log files	19
Cardiac radioablation for atrial fibrillation: Target motion characterization and treatment delivery considerations	19
Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy	19
Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images	19
Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning	19
Radioprotective effect of X‐ray abdominal FLASH irradiation: Adaptation to oxidative damage and inflammatory response may be benefiting factors	19
Characterization of a high‐resolution 2D transmission ion chamber for independent validation of proton pencil beam scanning of conventional and FLASH dose delivery	19
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer	19
Incorporation of residual attention modules into two neural networks for low‐dose CT denoising	19
The impact of phantom design and material‐dependence on repeatability and reproducibility of CT‐based radiomics features	19
Optimization for customized trajectories in cone beam computed tomography	19
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers	19
Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning	19
CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images	19
Attention‐based deep learning system for automated diagnoses of age‐related macular degeneration in optical coherence tomography images	19
A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks	19
Corneal nerve tortuosity grading via ordered weighted averaging‐based feature extraction	19
Use of single‐energy proton pencil beam scanning Bragg peak for intensity‐modulated proton therapy FLASH treatment planning in liver‐hypofractionated radiation therapy	19
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Deep learning‐based AI model for signet‐ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer	19
Proton range uncertainty reduction benefits for skull base tumors in terms of normal tissue complication probability (NTCP) and healthy tissue doses	18
Weaving attention U‐net: A novel hybrid CNN and attention‐based method for organs‐at‐risk segmentation in head and neck CT images	18
Silicon photomultiplier‐based scintillation detectors for photon‐counting CT: A feasibility study	18
3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound	18
Anatomically aided PET image reconstruction using deep neural networks	18
Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients	18
Analysis of characteristics of images acquired with a prototype clinical proton radiography system	18
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry during brachytherapy	18
Accuracy of an in vivo dosimetry‐based source tracking method for afterloading brachytherapy — A phantom study	18
Investigation of inter‐fraction target motion variations in the context of pencil beam scanned proton therapy in non‐small cell lung cancer patients	18
Ultrahigh dose rate pencil beam scanning proton dosimetry using ion chambers and a calorimeter in support of first in‐human FLASH clinical trial	18
Energy layer optimization via energy matrix regularization for proton spot‐scanning arc therapy	18
Challenges in ensuring the generalizability of image quantitation methods for MRI	18
Phantom task‐based image quality assessment of three generations of rapid kV‐switching dual‐energy CT systems on virtual monoenergetic images	18
Linear energy transfer weighted beam orientation optimization for intensity‐modulated proton therapy	17
Development and evaluation of a GEANT4‐based Monte Carlo Model of a 0.35 T MR‐guided radiation therapy (MRgRT) linear accelerator	17
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters	17
A multiple‐channel and atrous convolution network for ultrasound image segmentation	17
Diffuse large B‐cell lymphoma segmentation in PET‐CT images via hybrid learning for feature fusion	17
A model for the energy and angular distribution of x rays emitted from an x‐ray tube. Part I. Bremsstrahlung production	17
A deep learning model to predict dose–volume histograms of organs at risk in radiotherapy treatment plans	17
ARPM‐net: A novel CNN‐based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images	17
Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification	17
A new emittance selection system to maximize beam transmission for low‐energy beams in cyclotron‐based proton therapy facilities with gantry	17
Gastrointestinal 4D MRI with respiratory motion correction	17
Implementation and prospective clinical validation of AI‐based planning and shimming techniques in cardiac MRI	17
Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation	17
SAUN: Stack attention U‐Net for left ventricle segmentation from cardiac cine magnetic resonance imaging	17
Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning	17
Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294	17
Low‐dose CT denoising via convolutional neural network with an observer loss function	17
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis	17
Fully automated quantification method (FQM) of coronary calcium in an anthropomorphic phantom	17
Using deep learning to predict beam‐tunable Pareto optimal dose distribution for intensity‐modulated radiation therapy	17
Sub‐2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single‐ended readout using convolutional neural networks	17
FRoG: An independent dose and LETd prediction tool for proton therapy at ProBeam® facilities	17
Single pencil beam benchmark of a module for Monte Carlo simulation of proton transport in the PENELOPE code	17
Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning	17
Technical Note: 4D robust optimization in small spot intensity‐modulated proton therapy (IMPT) for distal esophageal carcinoma	17
Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks	17
Statistical process control and process capability analysis for non‐normal volumetric modulated arc therapy patient‐specific quality assurance processes	17
Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy	16
Addressing CT metal artifacts using photon‐counting detectors and one‐step spectral CT image reconstruction	16
Transcranial ultrasound simulations: A review	16
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features	16
Monte Carlo simulated beam quality and perturbation correction factors for ionization chambers in monoenergetic proton beams	16
Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms	16
Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments	16
Experimental assessment of microwave ablation computational modeling with MR thermometry	16