Medical Physics

Article	Citations
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation	163
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction	147
Deep learning based synthetic‐CT generation in radiotherapy and PET: A review	117
Low‐dose CT image and projection dataset	112
Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group	103
A framework for defining FLASH dose rate for pencil beam scanning	96
Does FLASH deplete oxygen? Experimental evaluation for photons, protons, and carbon ions	94
Ultra‐high dose rate dosimetry: Challenges and opportunities for FLASH radiation therapy	94
Radiobiology of the FLASH effect	92
Ultra‐high dose rate electron beams and the FLASH effect: From preclinical evidence to a new radiotherapy paradigm	86
AAPM task group report 302: Surface‐guided radiotherapy	79
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN	76
Improving CBCT quality to CT level using deep learning with generative adversarial network	75
AAPM Task Group 198 Report: An implementation guide for TG 142 quality assurance of medical accelerators	75
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance	73
Commissioning of an ultra‐high dose rate pulsed electron beam medical LINAC for FLASH RT preclinical animal experiments and future clinical human protocols	67
Technical Note: SpekPy v2.0—a software toolkit for modeling x‐ray tube spectra	66
Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non‐equilibrium conditions	65
A review of explainable and interpretable AI with applications in COVID‐19 imaging	65
Vision Transformer‐based recognition of diabetic retinopathy grade	60
Machine QA for the Elekta Unity system: A Report from the Elekta MR‐linac consortium	58
Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture	56
Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT	56
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer	55
OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset	55

Simultaneous dose and dose rate optimization (SDDRO) for FLASH proton therapy	55
Real‐time biomechanics using the finite element method and machine learning: Review and perspective	54
The current status of preclinical proton FLASH radiation and future directions	54
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans	53
FLASH radiotherapy with carbon ion beams	52
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy	50
Spread‐out Bragg peak proton FLASH irradiation using a clinical synchrocyclotron: Proof of concept and ion chamber characterization	46
AAPM Task Group Report 290: Respiratory motion management for particle therapy	45
Oxygen depletion in FLASH ultra‐high‐dose‐rate radiotherapy: A molecular dynamics simulation	44
Model studies of the role of oxygen in the FLASH effect	44
FLASH radiotherapy with photon beams	43
Design, realization, and characterization of a novel diamond detector prototype for FLASH radiotherapy dosimetry	42
Ion collection efficiency of ionization chambers in ultra‐high dose‐per‐pulse electron beams	42
Development of an ultra‐thin parallel plate ionization chamber for dosimetry in FLASH radiotherapy	41
Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images	41
PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images	40
Commissioning of a clinical pencil beam scanning proton therapy unit for ultra‐high dose rates (FLASH)	40
Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy	39
Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning	36
Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features	36
Deep learning‐based radiomics predicts response to chemotherapy in colorectal liver metastases	35
Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy	35
MAD‐UNet: A deep U‐shaped network combined with an attention mechanism for pancreas segmentation in CT images	35
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging	34
Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging	34
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review	33
Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study	33
Methods of monitoring thermal ablation of soft tissue tumors – A comprehensive review	33
Technical Note: MRQy — An open‐source tool for quality control of MR imaging data	33
Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process	32
Systematic method for a deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance of volumetric modulated arc therapy	32
Cross‐modality deep learning: Contouring of MRI data from annotated CT data only	32
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation	32
Timing evaluation of a PET detector block based on semi‐monolithic LYSO crystals	32
	31
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	30
Three‐dimensional printing of patient‐specific lung phantoms for CT imaging: Emulating lung tissue with accurate attenuation profiles and textures	30
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification	30
A roadmap to clinical trials for FLASH	30
The structural similarity index for IMRT quality assurance: radiomics‐based error classification	30
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications	30
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net	29
A quantitative FLASH effectiveness model to reveal potentials and pitfalls of high dose rate proton therapy	29
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging	29
Simultaneous dose and dose rate optimization (SDDRO) of the FLASH effect for pencil‐beam‐scanning proton therapy	29
Detecting MLC modeling errors using radiomics‐based machine learning in patient‐specific QA with an EPID for intensity‐modulated radiation therapy	28
Automatic clinical target volume delineation for cervical cancer in CT images using deep learning	28
Reliability of MRI radiomics features in MR‐guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within‐subject agreement	28
Dataset of patient‐derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography	28
Breast ultrasound image segmentation: A coarse‐to‐fine fusion convolutional neural network	28

Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy	27
AI in medical physics: guidelines for publication	27
Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning	27
Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT	27
Technical Note: A fast and monolithic prototype clinical proton radiography system optimized for pencil beam scanning	27
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data	27
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation	26
Clinical commissioning of intensity‐modulated proton therapy systems: Report of AAPM Task Group 185	26
Multitask 3D CBCT‐to‐CT translation and organs‐at‐risk segmentation using physics‐based data augmentation	26
A conformal TOF–DOI Prism‐PET prototype scanner for high‐resolution quantitative neuroimaging	25
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs	25
Recommendations on the practice of calibration, dosimetry, and quality assurance for gamma stereotactic radiosurgery: Report of AAPM Task Group 178	25
Impact of an artificial intelligence deep‐learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study	25
A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks	25
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners	25
Artificial intelligence in multiparametric magnetic resonance imaging: A review	25
Real‐time estimation of patient‐specific dose distributions for medical CT using the deep dose estimation	25
Automatic delineation of cardiac substructures using a region‐based fully convolutional network	25
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network	24
A 2D strip ionization chamber array with high spatiotemporal resolution for proton pencil beam scanning FLASH radiotherapy	24
Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy	24
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks	24
Probabilistic self‐learning framework for low‐dose CT denoising	24
Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks	24
Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning	24
Application of a novel diamond detector for commissioning of FLASH radiotherapy electron beams	24
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	23
Three‐dimensional MRI‐based treatment planning approach for non‐invasive ocular proton therapy	23
A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images	23
A tool for patient‐specific prediction of delivery discrepancies in machine parameters using trajectory log files	23
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy	23
DIRECT‐Net: A unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging	23
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 patients	23
Dosimetric evaluation of MRI‐guided multi‐leaf collimator tracking and trailing for lung stereotactic body radiation therapy	23
Attention‐based deep learning system for automated diagnoses of age‐related macular degeneration in optical coherence tomography images	23
The impact of phantom design and material‐dependence on repeatability and reproducibility of CT‐based radiomics features	23
A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRI	23
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	23
	23
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study	23
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 tracking	23
An end‐to‐end‐trainable iterative network architecture for accelerated radial multi‐coil 2D cine MR image reconstruction	23
A comparison of proton stopping power measured with proton CT and x‐ray CT in fresh postmortem porcine structures	22
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset	22
A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images	22
Deep learning‐based AI model for signet‐ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer	22
Potential of contrast agents based on high‐Z elements for contrast‐enhanced photon‐counting computed tomography	22
Treatment planning for Flash radiotherapy: General aspects and applications to proton beams	22
Location and direction dependence in the 3D MTF for a high‐resolution CT system	22
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 learning	22
Technical note: Validation of an ultrahigh dose rate pulsed electron beam monitoring system using a current transformer for FLASH preclinical studies	22
Incorporation of residual attention modules into two neural networks for low‐dose CT denoising	22
Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation	22
Technical note: Proton beam dosimetry at ultra‐high dose rates (FLASH): Evaluation of GAFchromic™ (EBT3, EBT‐XD) and OrthoChromic (OC‐1) film performances	22
Energy layer optimization via energy matrix regularization for proton spot‐scanning arc therapy	21
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model	21
Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT	21
Thyroid nodules risk stratification through deep learning based on ultrasound images	21
Simplified protocol for whole‐body Patlak parametric imaging with 18F‐FDG PET/CT: Feasibility and error analysis	21
Ultrahigh dose rate pencil beam scanning proton dosimetry using ion chambers and a calorimeter in support of first in‐human FLASH clinical trial	21
Variance‐aware attention U‐Net for multi‐organ segmentation	21
Silicon photomultiplier‐based scintillation detectors for photon‐counting CT: A feasibility study	21
Vocal cord lesions classification based on deep convolutional neural network and transfer learning	21
Toward magnetic resonance fingerprinting for low‐field MR‐guided radiation therapy	21
Generation of parametricKiimages for FDG PET using two 5‐min scans	21
Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging	21
Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning	21
Radioprotective effect of X‐ray abdominal FLASH irradiation: Adaptation to oxidative damage and inflammatory response may be benefiting factors	21
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer	21
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study	21
Phantom task‐based image quality assessment of three generations of rapid kV‐switching dual‐energy CT systems on virtual monoenergetic images	20
Use of single‐energy proton pencil beam scanning Bragg peak for intensity‐modulated proton therapy FLASH treatment planning in liver‐hypofractionated radiation therapy	20
Time structure of pencil beam scanning proton FLASH beams measured with scintillator detectors and compared with log files	20
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers	20
CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images	20
Cardiac radioablation for atrial fibrillation: Target motion characterization and treatment delivery considerations	20
Characterization of a high‐resolution 2D transmission ion chamber for independent validation of proton pencil beam scanning of conventional and FLASH dose delivery	19

Proton range uncertainty reduction benefits for skull base tumors in terms of normal tissue complication probability (NTCP) and healthy tissue doses	19
Weaving attention U‐net: A novel hybrid CNN and attention‐based method for organs‐at‐risk segmentation in head and neck CT images	19
Lung cancer diagnosis using deep attention‐based multiple instance learning and radiomics	19
Challenges in ensuring the generalizability of image quantitation methods for MRI	19
Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning	19
Fully automated quantification method (FQM) of coronary calcium in an anthropomorphic phantom	19
Characteristics of very high‐energy electron beams for the irradiation of deep‐seated targets	19
FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images	19
Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294	19
Technical Note: 4D robust optimization in small spot intensity‐modulated proton therapy (IMPT) for distal esophageal carcinoma	19
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry during brachytherapy	19
Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images	19
Accuracy of an in vivo dosimetry‐based source tracking method for afterloading brachytherapy — A phantom study	19
Implementation and prospective clinical validation of AI‐based planning and shimming techniques in cardiac MRI	19
A customizable anthropomorphic phantom for dosimetric verification of 3D‐printed lung, tissue, and bone density materials	19
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features	19
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis	19
ARPM‐net: A novel CNN‐based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images	19
Sub‐2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single‐ended readout using convolutional neural networks	18
Spatial adaptive and transformer fusion network (STFNet) for low‐count PET blind denoising with MRI	18
Diffuse large B‐cell lymphoma segmentation in PET‐CT images via hybrid learning for feature fusion	18
Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning	18
Low‐dose CT denoising via convolutional neural network with an observer loss function	18
Three‐dimensional image volumes from two‐dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans	18
Long short‐term memory networks for proton dose calculation in highly heterogeneous tissues	18
Anatomically aided PET image reconstruction using deep neural networks	18
Analysis of characteristics of images acquired with a prototype clinical proton radiography system	18
Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision	18
Physiologically personalized coronary blood flow model to improve the estimation of noninvasive fractional flow reserve	18
Transcranial ultrasound simulations: A review	18
In vivo assessment of hypertensive nephrosclerosis using ultrasound localization microscopy	18
Evaluation and optimization of radiomics features stability to respiratory motion in 18F‐FDG 3D PET imaging	18
Experimental comparison of photon versus particle computed tomography to predict tissue relative stopping powers	18
Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning	18
Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks	18
A new emittance selection system to maximize beam transmission for low‐energy beams in cyclotron‐based proton therapy facilities with gantry	18
Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms	18
Image guidance for FLASH radiotherapy	17
Deep learning‐based multi‐modal computing with feature disentanglement for MRI image synthesis	17
Design and validation of a synchrotron proton beam line for FLASH radiotherapy preclinical research experiments	17
A k‐space‐to‐image reconstruction network for MRI using recurrent neural network	17
Synergistic impact of motion and acquisition/reconstruction parameters on18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies	17
Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy	17
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 accelerator	17
SAUN: Stack attention U‐Net for left ventricle segmentation from cardiac cine magnetic resonance imaging	17
Ultralow‐parameter denoising: Trainable bilateral filter layers in computed tomography	17
Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments	17
Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification	17
Microwave ablation of lung tumors: A probabilistic approach for simulation‐based treatment planning	17
Gastrointestinal 4D MRI with respiratory motion correction	17
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters	17
Single pencil beam benchmark of a module for Monte Carlo simulation of proton transport in the PENELOPE code	17
Addressing CT metal artifacts using photon‐counting detectors and one‐step spectral CT image reconstruction	17
Evaluation of fully automated myocardial segmentation techniques in native and contrast‐enhanced T1‐mapping cardiovascular magnetic resonance images using fully convolutional neural networks	17
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network	16
Statistical harmonization can improve the development of a multicenter CT‐based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers	16
Total‐body parametric imaging using the Patlak model: Feasibility of reduced scan time	16
Evaluation of carbon nanotube x‐ray source array for stationary head computed tomography	16
Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks	16
Per‐voxel constraints to minimize hot spots in linear energy transfer‐guided robust optimization for base of skull head and neck cancer patients in IMPT	16
Ultra‐high dose rate radiation production and delivery systems intended for FLASH	16
Radiation shielding and safety implications following linac conversion to an electron FLASH‐RT unit	16
Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions	16
DblurDoseNet: A deep residual learning network for voxel radionuclide dosimetry compensating for single‐photon emission computerized tomography imaging resolution	16
Design of static and dynamic ridge filters for FLASH–IMPT: A simulation study	16
A deep learning‐based dual‐omics prediction model for radiation pneumonitis	16
Time‐resolved dose rate measurements in pencil beam scanning proton FLASH therapy with a fiber‐coupled scintillator detector system	16
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 correction	16
Bismuth oxide nanoparticles as agents of radiation dose enhancement in intraoperative radiotherapy	16
Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models	16
A novel use of biomechanical model‐based deformable image registration (DIR) for assessing colorectal liver metastases ablation outcomes	16
Longitudinal acquisition repeatability of MRI radiomics features: An ACR MRI phantom study on two MRI scanners using a 3D T1W TSE sequence	16
Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy	16
Characterization of the HollandPTC proton therapy beamline dedicated to uveal melanoma treatment and an interinstitutional comparison	16
A feasibility study on deep learning‐based individualized 3D dose distribution prediction	16
A hybrid optimization strategy for deliverable intensity‐modulated radiotherapy plan generation using deep learning‐based dose prediction	16
Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy	16
3D‐printed, patient‐specific intracranial aneurysm models: From clinical data to flow experiments with endovascular devices	16
Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer	16
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 therapy	15
HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset	15
A wavelet‐based sparse row‐action method for image reconstruction in magnetic particle imaging	15
Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach	15
IMRT QA and gamma comparisons: The impact of detector geometry, spatial sampling, and delivery technique on gamma comparison sensitivity	15
Deep learning‐based motion tracking using ultrasound images	15
Ultrasound‐assisted laser thrombolysis with endovascular laser and high‐intensity focused ultrasound	15
MR to ultrasound image registration with segmentation‐based learning for HDR prostate brachytherapy	15
Head and neck synthetic CT generated from ultra‐low‐dose cone‐beam CT following Image Gently Protocol using deep neural network	15
Domain‐adaptive denoising network for low‐dose CT via noise estimation and transfer learning	15
	15
Site‐agnostic 3D dose distribution prediction with deep learning neural networks	15
Noise2Context: Context‐assisted learning 3D thin‐layer for low‐dose CT	15
Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning	15