Artificial intelligence for radiation oncology applications using public datasets
Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation
oncology. However, large curated datasets-often involving imaging data and corresponding …
oncology. However, large curated datasets-often involving imaging data and corresponding …
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
[HTML][HTML] Intensity standardization methods in magnetic resonance imaging of head and neck cancer
KA Wahid, R He, BA McDonald, BM Anderson… - Physics and imaging in …, 2021 - Elsevier
Abstract Background and Purpose Conventional magnetic resonance imaging (MRI) poses
challenges in quantitative analysis because voxel intensity values lack physical meaning …
challenges in quantitative analysis because voxel intensity values lack physical meaning …
E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for …
Purpose Contouring Collaborative for Consensus in Radiation Oncology (C3RO) is a
crowdsourced challenge engaging radiation oncologists across various expertise levels in …
crowdsourced challenge engaging radiation oncologists across various expertise levels in …
Stability of dosiomic features against variations in dose calculation: An analysis based on a cohort of prostate external beam radiotherapy patients
L Sun, W Smith, C Kirkby - Journal of Applied Clinical Medical …, 2023 - Wiley Online Library
Introduction Interest in using higher order features of the planned 3D dose distributions (ie,
dosiomics) to predict radiotherapy outcomes is growing. This is driving many retrospective …
dosiomics) to predict radiotherapy outcomes is growing. This is driving many retrospective …
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
Background/Purpose Sarcopenia is a prognostic factor in patients with head and neck
cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) …
cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) …
Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise
KJ McDonnell - Journal of Clinical Medicine, 2023 - mdpi.com
Over the last 75 years, artificial intelligence has evolved from a theoretical concept and
novel paradigm describing the role that computers might play in our society to a tool with …
novel paradigm describing the role that computers might play in our society to a tool with …
[HTML][HTML] PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion
Background and objective: Despite fast evolution cycles in deep learning methodologies for
medical imaging in radiotherapy, auto-segmentation solutions rarely run in clinics due to the …
medical imaging in radiotherapy, auto-segmentation solutions rarely run in clinics due to the …
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer
The accurate determination of sarcopenia is critical for disease management in patients with
head and neck cancer (HNC). Quantitative determination of sarcopenia is currently …
head and neck cancer (HNC). Quantitative determination of sarcopenia is currently …
Deep learning auto-segmentation of cervical neck skeletal muscle for sarcopenia analysis using pre-therapy CT in patients with head and neck cancer
ABSTRACT Background/Purpose Sarcopenia is a prognostic factor in patients with head
and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index …
and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index …