Thais Roque
University of Oxford
5 Papers
3 Citations
Thais Roque is an academic researcher from University of Oxford. The author has contributed to research in topics: Computer science & Internal medicine. The author has an hindex of 2, co-authored 3 publications.
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Papers
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth
Thais Roque,Laurent Risser,Veerle Kersemans,Sean Smart,Danny Allen,Paul Kinchesh,Stuart Gilchrist,Ana Gomes,Julia A. Schnabel,Michael A. Chappell +9 more
TL;DR: A novel image-driven reaction-diffusion model of avascular tumor growth that allows for proliferation, death and spread of tumor cells, and accounts for nutrient distribution and hypoxia is introduced.
Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.
M. Nachbar,Monica Lo Russo,Cihan Gani,S. Boeke,D. Wegener,Frank Paulsen,Daniel Zips,Thais Roque,Nikos Paragios,Daniela Thorwarth +9 more
TL;DR: In this article , a deep learning-based autocontouring model was used for automatic segmentation at the MR-Linac for future implementation in a clinical MRgRT workflow.
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Dosimetric Evaluation of Dose Calculation Uncertainties for MR-Only Approaches in Prostate MR-Guided Radiotherapy
Ivan Coric,K. Shreshtha,Thais Roque,Nikos Paragios,Cihan Gani,Daniel Zips,Daniela Thorwarth,M. Nachbar +7 more
TL;DR: Both a PBCT and an AICT approach, which bypass the need for a planning CT, may be considered clinically acceptable while reducing imaging dose and registration issues.
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Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors
Thais Roque,Bartlomiej W. Papiez,Veerle Kersemans,Sean Smart,Danny Allen,Michael A. Chappell,Julia A. Schnabel +6 more
- 01 Jun 2016
TL;DR: The analysis of three preclinical colon carcinoma longitudinal cases shows that using physiologically meaningful measures of tumor as guidance information can improve non-rigid registration of longitudinal tumor imaging data when compared to a state of the art local correlation coefficient approach.
A DCE-MRI imaging-based model for simulation of vascular tumour growth
Thais Roque,Veerle Kersemans,Sean Smart,Danny Allen,Julia A. Schnabel,Michael A. Chappell +5 more
- 13 Oct 2016
TL;DR: A multi-scale model of vascular tumour growth that allows for proliferation, death and spatial spread of tumour cells as well as for new vessel creation is introduced and Simulation results for three pre-clinical cases demonstrated the model's ability to simulate the cellular as well the 2D evolution of the tumour.
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