Uncertainty-guided man–machine integrated patient-specific quality assurance

Machine learning‐generated decision boundaries for prediction and exploration of patient‐specific quality assurance failures in stereotactic radiosurgery plans

(2022) Jeremy Braun et al.   MEDICAL PHYSICS

Description and evaluation of a new volumetric-modulated arc therapy plan complexity metric

(2021) Guangjun Li et al.   Medical Dosimetry

A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks

(2021) Dan Nguyen et al.   PHYSICS IN MEDICINE AND BIOLOGY

DropConnect is effective in modeling uncertainty of Bayesian deep networks

(2021) Aryan Mobiny et al.   Scientific Reports

A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

(2021) Anjali Balagopal et al.   MEDICAL IMAGE ANALYSIS

Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario

(2021) Ruijie Yang et al.   RADIOTHERAPY AND ONCOLOGY

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

(2021) Moloud Abdar et al.   Information Fusion

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data

(2021) Viswanath P. Sudarshan et al.   MEDICAL IMAGE ANALYSIS

Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions

(2021) Abhijit Guha Roy et al.   MEDICAL IMAGE ANALYSIS

Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

(2020) Hideaki Hirashima et al.   RADIOTHERAPY AND ONCOLOGY

Use of artificial neural network for pretreatment verification of intensity modulation radiation therapy fields

(2019) Seied Rabie Mahdavi et al.   BRITISH JOURNAL OF RADIOLOGY

Predicting gamma passing rates for portal dosimetry‐based IMRT QA using machine learning

(2019) Dao Lam et al.   MEDICAL PHYSICS

Deep nets vs expert designed features in medical physics: An IMRT QA case study

(2018) Yannet Interian et al.   MEDICAL PHYSICS

Tolerance limits and methodologies for IMRT measurement-based verification QA: Recommendations of AAPM Task Group No. 218

(2018) Moyed Miften et al.   MEDICAL PHYSICS

A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance

(2018) Seiji Tomori et al.   MEDICAL PHYSICS

Treatment plan complexity does not predict IROC Houston anthropomorphic head and neck phantom performance

(2018) Mallory C Glenn et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep learning for patient‐specific quality assurance: identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks

(2018) Matthew J Nyflot et al.   MEDICAL PHYSICS

A mathematical framework for virtual IMRT QA using machine learning

(2016) G. Valdes et al.   MEDICAL PHYSICS

Treatment plan complexity metrics for predicting IMRT pre-treatment quality assurance results

(2014) S. B. Crowe et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Impact of plan parameters on the dosimetric accuracy of volumetric modulated arc therapy

(2013) Laura Masi et al.   MEDICAL PHYSICS

A new metric for assessing IMRT modulation complexity and plan deliverability

(2010) Andrea L. McNiven et al.   MEDICAL PHYSICS

IMRT commissioning: Multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119

(2009) Gary A. Ezzell et al.   MEDICAL PHYSICS