Medical Physics

Papers
(The H4-Index of Medical Physics is 41. 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.)
ArticleCitations
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
Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma44
FLASH radiotherapy with carbon ion beams44
Automatic contouring system for cervical cancer using convolutional neural networks43
Segmentation of pulmonary nodules in CT images based on 3D‐UNET combined with three‐dimensional conditional random field optimization41
Multimodal MRI synthesis using unified generative adversarial networks41
Full‐count PET recovery from low‐count image using a dilated convolutional neural network41
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