Rekonstruktion von 4D-CT-Daten aus räumlich-zeitlichen CT-Segmentfolgen zur Analyse atmungsbedingter Organbewegungen. - René Werner; Jan Ehrhardt; Thorsten Frenzel; Dennis Säring; Daniel Low; Heinz Handels (Bildverarbeitung für die Medizin, 2006)

Generation of 4D CT Image Data and Analysis of Lung Tumour Mobility during the Breathing Cycle. - Heinz Handels; René Werner; Thorsten Frenzel; Dennis Säring; Wei Lu 025; Daniel Low; Jan Ehrhardt (MIE, 2006)

Reconstruction of 4D-CT data sets acquired during free breathing for the analysis of respiratory motion. - Jan Ehrhardt; René Werner; Thorsten Frenzel; Dennis Säring; Wei Lu 025; Daniel Low; Heinz Handels (Image Processing, 2006)

Analysis of free breathing motion using artifact reduced 4D CT image data. - Jan Ehrhardt; René Werner; Thorsten Frenzel; Wei Lu 025; Daniel Low; Heinz Handels (Image Processing, 2007)

4D medical image computing and visualization of lung tumor mobility in spatio-temporal CT image data. - Heinz Handels; René Werner; Rainer Schmidt 004; Thorsten Frenzel; Wei Lu 025; Daniel Low; Jan Ehrhardt (Int. J. Medical Informatics, 2007)

Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy. - Anand P. Santhanam; Tai Dou; John Neylon; Yugang Min; Alexandre Kupelian; Ke Sheng; Daniel Ennis 001; Jannick P. Rolland; Daniel Low; Patrick Kupelian (MMVR, 2013)

Multi-Kinect v2 Camera Based Monitoring System for Radiotherapy Patient Safety. - Anand P. Santhanam; Yugang Min; Patrick Kupelian; Daniel Low (MMVR, 2016)

Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations. - John Neylon; Yugang Min; Patrick Kupelian; Daniel Low; Anand P. Santhanam (Int. J. Comput. Assist. Radiol. Surg., 2017)

An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications. - Anand P. Santhanam; Michael Lauria; Brad Stiehl; Daniel Elliott; Saty Seshan; Scott Hsieh; Minsong Cao; Daniel Low (Image Processing, 2020)

A quantitative prediction of the post-operative lobectomy lung physiology using a GPU-based linear elastic lung biomechanics model and a constrained generative adversarial learning approach. - Anand P. Santhanam; Brad Stiehl; Michael Lauria; Igor Barjaktarevic; Jonathan G. Goldin; Jane Yanagawa; Daniel Low (Image-Guided Procedures, 2021)

Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs. - Brad Stiehl; Michael Lauria; Kamal Singhrao; Jonathan G. Goldin; Igor Barjaktarevic; Daniel Low; Anand P. Santhanam (Int. J. Comput. Assist. Radiol. Surg., 2021)

Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics. - Michael Lauria; Kamal Singhrao; Brad Stiehl; Daniel Low; Jonathan G. Goldin; Igor Barjaktarevic; Anand P. Santhanam (Int. J. Comput. Assist. Radiol. Surg., 2022)