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Ultrasound in Medicine & Biology|October 16, 2007
Volume segmentation and reconstruction from freehand three-dimensional ultrasound data with application to ovarian follicle measurementMark J Gooding, Stephen Kennedy, J Alison Noble
The British Journal of Radiology|May 22, 2019
Applications and limitations of machine learning in radiation oncologyDaniel Jarrett, Eleanor Stride, Katherine Vallis, et al.
Ultrasound in Medicine & Biology|June 24, 2005
Temporal calibration of freehand three-dimensional ultrasound using image alignmentMark J Gooding, Stephen H Kennedy, J Alison Noble
Physics and Imaging in Radiation Oncology|April 24, 2023
Analytic calculations and synthetic shapes for validation of quantitative contour comparison softwareDjamal Boukerroui, Eliana Vasquez Osorio, Ellen Brunenberg, et al.
Physics and Imaging in Radiation Oncology|November 25, 2022
Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapyMark J Gooding, Djamal Boukerroui, Eliana Vasquez Osorio, et al.
Journal of Applied Clinical Medical Physics|July 26, 2016
The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planningKieran Wardman, Robin J D Prestwich, Mark J Gooding, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 31, 2009
Three-dimensional ultrasound imaging of mammary ducts in lactating women: a feasibility studyMark J Gooding, Joanna Finlay, Jacqueline A Shipley, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Automatic mammary duct detection in 3D ultrasoundMark J Gooding, Matthew Mellor, Jacqueline A Shipley, et al.
Ultrasound in Medicine & Biology|May 8, 2010
Investigation into the fusion of multiple 4-D fetal echocardiography images to improve image qualityMark J Gooding, Kashif Rajpoot, Salli Mitchell, et al.
Medical Physics|March 20, 2021
Interactive contouring through contextual deep learningMichael J Trimpl, Djamal Boukerroui, Eleanor P J Stride, et al.
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