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SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan

Medical physics (Lancaster), 2019-09, Vol.46 (9), p.3799-3811

2019

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Real‐time direct diaphragm tracking using kV imaging on a standard linear accelerator

Medical physics (Lancaster), 2019-10, Vol.46 (10), p.4481-4489

2019

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Both four-dimensional computed tomography and four-dimensional cone beam computed tomography under-predict lung target motion during radiotherapy

Radiotherapy and oncology, 2019-06, Vol.135, p.65-73

2019

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A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2286-2297

2019

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Dual cardiac and respiratory gated thoracic imaging via adaptive gantry velocity and projection rate modulation on a linear accelerator: A Proof‐of‐Concept Simulation Study

Medical physics (Lancaster), 2019-09, Vol.46 (9), p.4116-4126

2019

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Toward the development of intrafraction tumor deformation tracking using a dynamic multi-leaf collimator

Medical physics (Lancaster), 2014-06, Vol.41 (6), p.061703-n/a

2014

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Image quality in thoracic 4D cone-beam CT: A sensitivity analysis of respiratory signal, binning method, reconstruction algorithm, and projection angular spacing

Medical physics (Lancaster), 2014-04, Vol.41 (4), p.041912-n/a

2014

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Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning

Frontiers in neuroscience, 2023-05, Vol.17, p.1167612

2023

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Quantifying the reproducibility of lung ventilation images between 4‐Dimensional Cone Beam CT and 4‐Dimensional CT

Medical physics (Lancaster), 2017-05, Vol.44 (5), p.1771-1781

2017

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A comparison of gantry‐mounted x‐ray‐based real‐time target tracking methods

Medical physics (Lancaster), 2018-03, Vol.45 (3), p.1222-1232

2018

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A patient-specific deep learning framework for 3D motion estimation and volumetric imaging during lung cancer radiotherapy

Physics in medicine & biology, 2023-07, Vol.68 (14), p.14

2023

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MArkerless image Guidance using Intrafraction Kilovoltage x-ray imaging (MAGIK): study protocol for a phase I interventional study for lung cancer radiotherapy

BMJ open, 2022-01, Vol.12 (1), p.e057135-e057135

2022

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Real world validation of an AI-based CT hemorrhage detection tool

Frontiers in neurology, 2023-08, Vol.14, p.1177723-1177723

2023

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Proof-of-concept for x-ray based real-time image guidance during cardiac radioablation

Physics in medicine & biology, 2021-08, Vol.66 (17), p.175010

2021

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A real-time IGRT method using a Kalman filter framework to extract 3D positions from 2D projections

Physics in medicine & biology, 2021-11, Vol.66 (21), p.214001

2021

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Evaluating reconstruction algorithms for respiratory motion guided acquisition

Physics in medicine & biology, 2020-09, Vol.65 (17), p.175009-175009

2020

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A Bayesian approach for three-dimensional markerless tumor tracking using kV imaging during lung radiotherapy

Physics in medicine & biology, 2017-04, Vol.62 (8), p.3065-3080

2017

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The first prospective implementation of markerless lung target tracking in an experimental quality assurance procedure on a standard linear accelerator

Physics in medicine & biology, 2020-01, Vol.65 (2), p.025008-025008

2020

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Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training

Artificial intelligence in medicine, 2024-06, Vol.152, p.102872, Article 102872

2024

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The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits

Physics in medicine & biology, 2021-05, Vol.66 (10), p.105012

2021

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4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

International journal of radiation oncology, biology, physics, 2018-11, Vol.102 (4), p.932-940

2018

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Markerless tumor tracking using short kilovoltage imaging arcs for lung image-guided radiotherapy

Physics in medicine & biology, 2015-12, Vol.60 (24), p.9437-9454

2015

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Towards patient connected imaging with ACROBEAT: Adaptive CaRdiac cOne BEAm computed Tomography

Physics in medicine & biology, 2019-03, Vol.64 (6), p.065006-065006

2019

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Functional imaging equivalence and proof of concept for image-guided adaptive radiotherapy with fixed gantry and rotating couch

Advances in radiation oncology, 2016-10, Vol.1 (4), p.365-372

2016

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Real-time respiratory triggered four dimensional cone-beam CT halves imaging dose compared to conventional 4D CBCT

Physics in medicine & biology, 2019-03, Vol.64 (7), p.07NT01-07NT01

2019

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SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan

Real‐time direct diaphragm tracking using kV imaging on a standard linear accelerator

Both four-dimensional computed tomography and four-dimensional cone beam computed tomography under-predict lung target motion during radiotherapy

A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images

Dual cardiac and respiratory gated thoracic imaging via adaptive gantry velocity and projection rate modulation on a linear accelerator: A Proof‐of‐Concept Simulation Study

Toward the development of intrafraction tumor deformation tracking using a dynamic multi-leaf collimator

Image quality in thoracic 4D cone-beam CT: A sensitivity analysis of respiratory signal, binning method, reconstruction algorithm, and projection angular spacing

Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning

Quantifying the reproducibility of lung ventilation images between 4‐Dimensional Cone Beam CT and 4‐Dimensional CT

A comparison of gantry‐mounted x‐ray‐based real‐time target tracking methods

A patient-specific deep learning framework for 3D motion estimation and volumetric imaging during lung cancer radiotherapy

MArkerless image Guidance using Intrafraction Kilovoltage x-ray imaging (MAGIK): study protocol for a phase I interventional study for lung cancer radiotherapy

Real world validation of an AI-based CT hemorrhage detection tool

Proof-of-concept for x-ray based real-time image guidance during cardiac radioablation

A real-time IGRT method using a Kalman filter framework to extract 3D positions from 2D projections

Evaluating reconstruction algorithms for respiratory motion guided acquisition

A Bayesian approach for three-dimensional markerless tumor tracking using kV imaging during lung radiotherapy

The first prospective implementation of markerless lung target tracking in an experimental quality assurance procedure on a standard linear accelerator

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training

The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits

4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

Markerless tumor tracking using short kilovoltage imaging arcs for lung image-guided radiotherapy

Towards patient connected imaging with ACROBEAT: Adaptive CaRdiac cOne BEAm computed Tomography

Functional imaging equivalence and proof of concept for image-guided adaptive radiotherapy with fixed gantry and rotating couch

Real-time respiratory triggered four dimensional cone-beam CT halves imaging dose compared to conventional 4D CBCT

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