Medical Physics

Papers
(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 2020-11-01 to 2024-11-01.)
ArticleCitations
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation163
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction147
Deep learning based synthetic‐CT generation in radiotherapy and PET: A review117
Low‐dose CT image and projection dataset112
Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group103
A framework for defining FLASH dose rate for pencil beam scanning96
Does FLASH deplete oxygen? Experimental evaluation for photons, protons, and carbon ions94
Ultra‐high dose rate dosimetry: Challenges and opportunities for FLASH radiation therapy94
Radiobiology of the FLASH effect92
Ultra‐high dose rate electron beams and the FLASH effect: From preclinical evidence to a new radiotherapy paradigm86
AAPM task group report 302: Surface‐guided radiotherapy79
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN76
Improving CBCT quality to CT level using deep learning with generative adversarial network75
AAPM Task Group 198 Report: An implementation guide for TG 142 quality assurance of medical accelerators75
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance73
Commissioning of an ultra‐high dose rate pulsed electron beam medical LINAC for FLASH RT preclinical animal experiments and future clinical human protocols67
Technical Note: SpekPy v2.0—a software toolkit for modeling x‐ray tube spectra66
A review of explainable and interpretable AI with applications in COVID‐19 imaging65
Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non‐equilibrium conditions65
Vision Transformer‐based recognition of diabetic retinopathy grade60
Machine QA for the Elekta Unity system: A Report from the Elekta MR‐linac consortium58
Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT56
Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture56
OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset55
Simultaneous dose and dose rate optimization (SDDRO) for FLASH proton therapy55
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer55
The current status of preclinical proton FLASH radiation and future directions54
Real‐time biomechanics using the finite element method and machine learning: Review and perspective54
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans53
FLASH radiotherapy with carbon ion beams52
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy50
Spread‐out Bragg peak proton FLASH irradiation using a clinical synchrocyclotron: Proof of concept and ion chamber characterization46
AAPM Task Group Report 290: Respiratory motion management for particle therapy45
Model studies of the role of oxygen in the FLASH effect44
Oxygen depletion in FLASH ultra‐high‐dose‐rate radiotherapy: A molecular dynamics simulation44
FLASH radiotherapy with photon beams43
Ion collection efficiency of ionization chambers in ultra‐high dose‐per‐pulse electron beams42
Design, realization, and characterization of a novel diamond detector prototype for FLASH radiotherapy dosimetry42
Development of an ultra‐thin parallel plate ionization chamber for dosimetry in FLASH radiotherapy41
Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images41
Commissioning of a clinical pencil beam scanning proton therapy unit for ultra‐high dose rates (FLASH)40
PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images40
Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy39
Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features36
Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning36
MAD‐UNet: A deep U‐shaped network combined with an attention mechanism for pancreas segmentation in CT images35
Deep learning‐based radiomics predicts response to chemotherapy in colorectal liver metastases35
Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy35
Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging34
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging34
Methods of monitoring thermal ablation of soft tissue tumors – A comprehensive review33
Technical Note: MRQy — An open‐source tool for quality control of MR imaging data33
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review33
Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study33
Systematic method for a deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance of volumetric modulated arc therapy32
Cross‐modality deep learning: Contouring of MRI data from annotated CT data only32
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation32
Timing evaluation of a PET detector block based on semi‐monolithic LYSO crystals32
Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process32
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The structural similarity index for IMRT quality assurance: radiomics‐based error classification30
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications30
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 photopolymer30
Three‐dimensional printing of patient‐specific lung phantoms for CT imaging: Emulating lung tissue with accurate attenuation profiles and textures30
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification30
A roadmap to clinical trials for FLASH30
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging29
Simultaneous dose and dose rate optimization (SDDRO) of the FLASH effect for pencil‐beam‐scanning proton therapy29
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net29
A quantitative FLASH effectiveness model to reveal potentials and pitfalls of high dose rate proton therapy29
Breast ultrasound image segmentation: A coarse‐to‐fine fusion convolutional neural network28
Detecting MLC modeling errors using radiomics‐based machine learning in patient‐specific QA with an EPID for intensity‐modulated radiation therapy28
Automatic clinical target volume delineation for cervical cancer in CT images using deep learning28
Reliability of MRI radiomics features in MR‐guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within‐subject agreement28
Dataset of patient‐derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography28
Technical Note: A fast and monolithic prototype clinical proton radiography system optimized for pencil beam scanning27
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data27
Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy27
AI in medical physics: guidelines for publication27
Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning27
Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT27
Clinical commissioning of intensity‐modulated proton therapy systems: Report of AAPM Task Group 18526
Multitask 3D CBCT‐to‐CT translation and organs‐at‐risk segmentation using physics‐based data augmentation26
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation26
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs25
A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks25
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners25
Impact of an artificial intelligence deep‐learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study25
Automatic delineation of cardiac substructures using a region‐based fully convolutional network25
Artificial intelligence in multiparametric magnetic resonance imaging: A review25
Real‐time estimation of patient‐specific dose distributions for medical CT using the deep dose estimation25
Recommendations on the practice of calibration, dosimetry, and quality assurance for gamma stereotactic radiosurgery: Report of AAPM Task Group 17825
A conformal TOF–DOI Prism‐PET prototype scanner for high‐resolution quantitative neuroimaging25
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks24
Probabilistic self‐learning framework for low‐dose CT denoising24
Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks24
Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning24
Application of a novel diamond detector for commissioning of FLASH radiotherapy electron beams24
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network24
A 2D strip ionization chamber array with high spatiotemporal resolution for proton pencil beam scanning FLASH radiotherapy24
Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy24
A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images23
A tool for patient‐specific prediction of delivery discrepancies in machine parameters using trajectory log files23
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy23
DIRECT‐Net: A unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging23
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?23
MRI‐based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients23
Dosimetric evaluation of MRI‐guided multi‐leaf collimator tracking and trailing for lung stereotactic body radiation therapy23
Attention‐based deep learning system for automated diagnoses of age‐related macular degeneration in optical coherence tomography images23
The impact of phantom design and material‐dependence on repeatability and reproducibility of CT‐based radiomics features23
A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRI23
Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer23
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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study23
An artificial intelligence‐driven agent for real‐time head‐and‐neck IMRT plan generation using conditional generative adversarial network (cGAN)23
First experimental investigation of simultaneously tracking two independently moving targets on an MRI‐linac using real‐time MRI and MLC tracking23
An end‐to‐end‐trainable iterative network architecture for accelerated radial multi‐coil 2D cine MR image reconstruction23
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 exter23
Three‐dimensional MRI‐based treatment planning approach for non‐invasive ocular proton therapy23
Deep learning‐based AI model for signet‐ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer22
Potential of contrast agents based on high‐Z elements for contrast‐enhanced photon‐counting computed tomography22
Treatment planning for Flash radiotherapy: General aspects and applications to proton beams22
Location and direction dependence in the 3D MTF for a high‐resolution CT system22
Technical note: Characterization and practical applications of a novel plastic scintillator for online dosimetry for an ultrahigh dose rate (FLASH)22
Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning22
Technical note: Validation of an ultrahigh dose rate pulsed electron beam monitoring system using a current transformer for FLASH preclinical studies22
Incorporation of residual attention modules into two neural networks for low‐dose CT denoising22
Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation22
Technical note: Proton beam dosimetry at ultra‐high dose rates (FLASH): Evaluation of GAFchromic™ (EBT3, EBT‐XD) and OrthoChromic (OC‐1) film performances22
A comparison of proton stopping power measured with proton CT and x‐ray CT in fresh postmortem porcine structures22
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset22
A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images22
Thyroid nodules risk stratification through deep learning based on ultrasound images21
Simplified protocol for whole‐body Patlak parametric imaging with 18F‐FDG PET/CT: Feasibility and error analysis21
Ultrahigh dose rate pencil beam scanning proton dosimetry using ion chambers and a calorimeter in support of first in‐human FLASH clinical trial21
Variance‐aware attention U‐Net for multi‐organ segmentation21
Silicon photomultiplier‐based scintillation detectors for photon‐counting CT: A feasibility study21
Vocal cord lesions classification based on deep convolutional neural network and transfer learning21
Toward magnetic resonance fingerprinting for low‐field MR‐guided radiation therapy21
Generation of parametricKiimages for FDG PET using two 5‐min scans21
Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging21
Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning21
Radioprotective effect of X‐ray abdominal FLASH irradiation: Adaptation to oxidative damage and inflammatory response may be benefiting factors21
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer21
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study21
Energy layer optimization via energy matrix regularization for proton spot‐scanning arc therapy21
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model21
Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT21
Phantom task‐based image quality assessment of three generations of rapid kV‐switching dual‐energy CT systems on virtual monoenergetic images20
Use of single‐energy proton pencil beam scanning Bragg peak for intensity‐modulated proton therapy FLASH treatment planning in liver‐hypofractionated radiation therapy20
Time structure of pencil beam scanning proton FLASH beams measured with scintillator detectors and compared with log files20
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers20
CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images20
Cardiac radioablation for atrial fibrillation: Target motion characterization and treatment delivery considerations20
Fully automated quantification method (FQM) of coronary calcium in an anthropomorphic phantom19
Characteristics of very high‐energy electron beams for the irradiation of deep‐seated targets19
FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images19
Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 29419
Technical Note: 4D robust optimization in small spot intensity‐modulated proton therapy (IMPT) for distal esophageal carcinoma19
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry during brachytherapy19
Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images19
Accuracy of an in vivo dosimetry‐based source tracking method for afterloading brachytherapy — A phantom study19
Implementation and prospective clinical validation of AI‐based planning and shimming techniques in cardiac MRI19
A customizable anthropomorphic phantom for dosimetric verification of 3D‐printed lung, tissue, and bone density materials19
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features19
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis19
ARPM‐net: A novel CNN‐based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images19
Characterization of a high‐resolution 2D transmission ion chamber for independent validation of proton pencil beam scanning of conventional and FLASH dose delivery19
Proton range uncertainty reduction benefits for skull base tumors in terms of normal tissue complication probability (NTCP) and healthy tissue doses19
Weaving attention U‐net: A novel hybrid CNN and attention‐based method for organs‐at‐risk segmentation in head and neck CT images19
Lung cancer diagnosis using deep attention‐based multiple instance learning and radiomics19
Challenges in ensuring the generalizability of image quantitation methods for MRI19
Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning19
In vivo assessment of hypertensive nephrosclerosis using ultrasound localization microscopy18
Evaluation and optimization of radiomics features stability to respiratory motion in 18F‐FDG 3D PET imaging18
Experimental comparison of photon versus particle computed tomography to predict tissue relative stopping powers18
Three‐dimensional image volumes from two‐dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans18
Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning18
Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks18
A new emittance selection system to maximize beam transmission for low‐energy beams in cyclotron‐based proton therapy facilities with gantry18
Sub‐2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single‐ended readout using convolutional neural networks18
Spatial adaptive and transformer fusion network (STFNet) for low‐count PET blind denoising with MRI18
Diffuse large B‐cell lymphoma segmentation in PET‐CT images via hybrid learning for feature fusion18
Transcranial ultrasound simulations: A review18
Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning18
Low‐dose CT denoising via convolutional neural network with an observer loss function18
Long short‐term memory networks for proton dose calculation in highly heterogeneous tissues18
Anatomically aided PET image reconstruction using deep neural networks18
Analysis of characteristics of images acquired with a prototype clinical proton radiography system18
Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision18
Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms18
Physiologically personalized coronary blood flow model to improve the estimation of noninvasive fractional flow reserve18
Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification17
Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning17
Gastrointestinal 4D MRI with respiratory motion correction17
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters17
Single pencil beam benchmark of a module for Monte Carlo simulation of proton transport in the PENELOPE code17
Addressing CT metal artifacts using photon‐counting detectors and one‐step spectral CT image reconstruction17
Evaluation of fully automated myocardial segmentation techniques in native and contrast‐enhanced T1‐mapping cardiovascular magnetic resonance images using fully convolutional neural networks17
Image guidance for FLASH radiotherapy17
Deep learning‐based multi‐modal computing with feature disentanglement for MRI image synthesis17
Design and validation of a synchrotron proton beam line for FLASH radiotherapy preclinical research experiments17
A k‐space‐to‐image reconstruction network for MRI using recurrent neural network17
Synergistic impact of motion and acquisition/reconstruction parameters on18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies17
Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy17
Accurate and robust sparse‐view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL‐PICCS)17
Development and evaluation of a GEANT4‐based Monte Carlo Model of a 0.35 T MR‐guided radiation therapy (MRgRT) linear accelerator17
SAUN: Stack attention U‐Net for left ventricle segmentation from cardiac cine magnetic resonance imaging17
Ultralow‐parameter denoising: Trainable bilateral filter layers in computed tomography17
Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments17
Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models16
A novel use of biomechanical model‐based deformable image registration (DIR) for assessing colorectal liver metastases ablation outcomes16
Longitudinal acquisition repeatability of MRI radiomics features: An ACR MRI phantom study on two MRI scanners using a 3D T1W TSE sequence16
Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy16
Characterization of the HollandPTC proton therapy beamline dedicated to uveal melanoma treatment and an interinstitutional comparison16
A feasibility study on deep learning‐based individualized 3D dose distribution prediction16
A hybrid optimization strategy for deliverable intensity‐modulated radiotherapy plan generation using deep learning‐based dose prediction16
Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy16
3D‐printed, patient‐specific intracranial aneurysm models: From clinical data to flow experiments with endovascular devices16
Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer16
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network16
Statistical harmonization can improve the development of a multicenter CT‐based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers16
Total‐body parametric imaging using the Patlak model: Feasibility of reduced scan time16
Evaluation of carbon nanotube x‐ray source array for stationary head computed tomography16
Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks16
Per‐voxel constraints to minimize hot spots in linear energy transfer‐guided robust optimization for base of skull head and neck cancer patients in IMPT16
Ultra‐high dose rate radiation production and delivery systems intended for FLASH16
Radiation shielding and safety implications following linac conversion to an electron FLASH‐RT unit16
Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions16
DblurDoseNet: A deep residual learning network for voxel radionuclide dosimetry compensating for single‐photon emission computerized tomography imaging resolution16
Design of static and dynamic ridge filters for FLASH–IMPT: A simulation study16
A deep learning‐based dual‐omics prediction model for radiation pneumonitis16
Time‐resolved dose rate measurements in pencil beam scanning proton FLASH therapy with a fiber‐coupled scintillator detector system16
Dose calculation in proton therapy using a discovery cross‐domain generative adversarial network (DiscoGAN)16
Deep learning‐based motion quantification from k‐space for fast model‐based magnetic resonance imaging motion correction16
Bismuth oxide nanoparticles as agents of radiation dose enhancement in intraoperative radiotherapy16
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Site‐agnostic 3D dose distribution prediction with deep learning neural networks15
Noise2Context: Context‐assisted learning 3D thin‐layer for low‐dose CT15
Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning15
A dual‐supervised deformation estimation model (DDEM) for constructing ultra‐quality 4D‐MRI based on a commercial low‐quality 4D‐MRI for liver cancer radiation therapy15
HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset15
A wavelet‐based sparse row‐action method for image reconstruction in magnetic particle imaging15
Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach15
IMRT QA and gamma comparisons: The impact of detector geometry, spatial sampling, and delivery technique on gamma comparison sensitivity15
Deep learning‐based motion tracking using ultrasound images15
Ultrasound‐assisted laser thrombolysis with endovascular laser and high‐intensity focused ultrasound15
MR to ultrasound image registration with segmentation‐based learning for HDR prostate brachytherapy15
Head and neck synthetic CT generated from ultra‐low‐dose cone‐beam CT following Image Gently Protocol using deep neural network15
Domain‐adaptive denoising network for low‐dose CT via noise estimation and transfer learning15
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