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Non-rigid correction of interleaving artefacts in pelvic MRI

Automatic MRI atlas-based external beam radiation therapy treatment planning for prostate cancer

MRI-guided prostate radiation therapy planning: investigation of dosimetric accuracy of MRI-based dose planning

A survey of cervix segmentation methods in magnetic resonance images

A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning

An open source automatic quality assurance (OSAQA) tool for the ACR MRI phantom

MRI simulation: end-to-end testing for prostate radiation therapy using geometric pelvic MRI phantoms

Utilising pseudo-CT data for dose calculation and plan optimization in adaptive radiotherapy

Estimation of Hounsfield unit conversion parameters for pelvic CT images

A multi-center prospective study for implementation of an MRI-only prostate treatment planning workflow

Bulk anatomical density based dose calculation for patient-specific quality assurance of MRI-only prostate radiotherapy

Characterization of prostate cancer using diffusion tensor imaging: a new perspective

Feasibility of multi-atlas cardiac segmentation from thoracic planning CT in a probabilistic framework

Pseudo-CT generation for MRI-only radiotherapy: comparative study between a generative adversarial network, a U-Net network, a patch-based, and an atlas based methods

Reduced motion and improved rectal dosimetry through endorectal immobilization for prostate stereotactic body radiotherapy

Similarity clustering-based atlas selection for pelvic CT image segmentation

Analysis of cardiac substructure dose in a large, multi-centre danish breast cancer cohort (the DBCG HYPO trial): Trends and predictive modelling

Localised delineation uncertainty for iterative atlas selection in automatic cardiac segmentation

Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI

Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial

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