Daniel Low
According to our database1,
Daniel Low
authored at least 12 papers
between 2006 and 2022.
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Bibliography
2022
Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics.
Int. J. Comput. Assist. Radiol. Surg., 2022
2021
Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs.
Int. J. Comput. Assist. Radiol. Surg., 2021
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.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
2020
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.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2017
Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016
2013
Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy.
Proceedings of the Medicine Meets Virtual Reality 20 - NextMed, 2013
2007
4D medical image computing and visualization of lung tumor mobility in spatio-temporal CT image data.
Int. J. Medical Informatics, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Reconstruction of 4D-CT data sets acquired during free breathing for the analysis of respiratory motion.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Generation of 4D CT Image Data and Analysis of Lung Tumour Mobility during the Breathing Cycle.
Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006
Rekonstruktion von 4D-CT-Daten aus räumlich-zeitlichen CT-Segmentfolgen zur Analyse atmungsbedingter Organbewegungen.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006