James Korte

Magnetic resonance biomarker assessment software (MR-BIAS): an automated open-source tool for the ISMRM/NIST system phantom.

James C Korte, Zachary Chin, Madeline Carr, Lois Holloway, Rick Franich

Journal article  |  2023  |  Phys Med Biol

Objective.To provide an open-source software for repeatable and efficient quantification ofT1andT2relaxation times with the ISMRM/..

Comparison of dual-energy CT with positron emission tomography for lung perfusion imaging in patients with non-small cell lung cancer

Mathieu Gaudreault, James Korte, Nicholas Bucknell, Price Jackson, Pitchaya Sakyanun, Lachlan McIntosh, Beverley Woon, James P Buteau, Michael S Hofman, Tony Mulcahy, Tomas Kron, Shankar Siva, Nicholas Hardcastle

Journal article  |  2023  |  PHYSICS IN MEDICINE AND BIOLOGY

Objective.Functional lung avoidance (FLA) radiotherapy treatment aims to spare lung regions identified as functional from imaging...

Investigating the role of delayed contrast magnetic resonance imaging (MRI) to differentiate radiation necrosis from tumour recurrence in brain metastases after stereotactic radiosurgery.

Lorenztino Admojo, James Korte, Nigel Anderson, Claire Phillips, Lauren Caspersz, Arian Lasocki

Journal article  |  2023  |  J Med Imaging Radiat Oncol

INTRODUCTION: The incidence of radionecrosis (RN) after stereotactic radiosurgery (SRS) to brain metastases is increasing. An over..

DETERMINATION OF FUNCTIONAL PERFUSED LUNG SUBVOLUMES FROM DUAL-ENERGY CT AND PET IMAGING FOR FUNCTIONAL LUNG AVOIDANCE RADIOTHERAPY

Mathieu Gaudreault, James Korte, Nicholas Bucknell, Beverley Woon, Mr Tony Mulcahy, Price Jackson, Mr Lachlan McIntosh, Tomas Kron, Shankar Siva, Nicholas Hardcastle

Journal article  |  2022  |  Physica Medica

The impact of inter-observer variation in delineation on robustness of radiomics features in non-small cell lung cancer

Gargi Kothari, Beverley Woon, Cameron J Patrick, James Korte, Leonard Wee, Gerard G Hanna, Tomas Kron, Nicholas Hardcastle, Shankar Siva

Journal article  |  2022  |  SCIENTIFIC REPORTS

Artificial intelligence and radiomics have the potential to revolutionise cancer prognostication and personalised treatment. Manua..

Is Public Data Enough? A Comparison of Public and Institutional Deep Learning Models for Segmentation of 17 Organs-At-Risk in the Head and Neck

Brett Clark, Nicholas Hardcastle, Price Jackson, Leigh Johnston, James Korte

Conference Proceedings  |  2022  |  MEDICAL PHYSICS

Please Place Your Seat in the Full Upright Position: A Technical Framework for Landing Upright Radiation Therapy in the 21(st) Century

Sarah Hegarty, Nicholas Hardcastle, James Korte, Tomas Kron, Sarah Everitt, Sulman Rahim, Fiona Hegi-Johnson, Rick Franich

Journal article  |  2022  |  FRONTIERS IN ONCOLOGY

Delivering radiotherapy to patients in an upright position can allow for increased patient comfort, reduction in normal tissue irr..

Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging

James C Korte, Nicholas Hardcastle, Sweet Ping Ng, Brett Clark, Tomas Kron, Price Jackson

Journal article  |  2021  |  MEDICAL PHYSICS

PURPOSE: To investigate multiple deep learning methods for automated segmentation (auto-segmentation) of the parotid glands, subma..

CT slice alignment to whole-body reference geometry by convolutional neural network

Price Jackson, James Korte, Lachlan McIntosh, Tomas Kron, Jason Ellul, Jason Li, Nicholas Hardcastle

Journal article  |  2021  |  PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE

Volumetric medical imaging lacks a standardised coordinate geometry which links image frame-of-reference to specific anatomical re..

Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer

James C Korte, Carlos Cardenas, Nicholas Hardcastle, Tomas Kron, Jihong Wang, Houda Bahig, Baher Elgohari, Rachel Ger, Laurence Court, Clifton D Fuller, Sweet Ping Ng

Journal article  |  2021  |  SCIENTIFIC REPORTS

Radiomics is a promising technique for discovering image based biomarkers of therapy response in cancer. Reproducibility of radiom..