Using machine learning approaches for multi-omics data analysis: A review

PS Reel, S Reel, E Pearson, E Trucco… - Biotechnology advances, 2021 - Elsevier
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Radiomics: from qualitative to quantitative imaging

W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

M Vallieres, E Kay-Rivest, LJ Perrin, X Liem… - Scientific reports, 2017 - nature.com
Quantitative extraction of high-dimensional mineable data from medical images is a process
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …

Pretreatment identification of head and neck cancer nodal metastasis and extranodal extension using deep learning neural networks

BH Kann, S Aneja, GV Loganadane, JR Kelly… - Scientific reports, 2018 - nature.com
Identification of nodal metastasis and tumor extranodal extension (ENE) is crucial for head
and neck cancer management, but currently only can be diagnosed via postoperative …

Intensity modulated proton therapy (IMPT)–The future of IMRT for head and neck cancer

AC Moreno, SJ Frank, AS Garden, DI Rosenthal… - Oral oncology, 2019 - Elsevier
Radiation therapy plays an integral role in the management of head and neck cancers
(HNCs). While most HNC patients have historically been treated with photon-based …

Computed tomography radiomics predicts HPV status and local tumor control after definitive radiochemotherapy in head and neck squamous cell carcinoma

M Bogowicz, O Riesterer, K Ikenberg, S Stieb… - International Journal of …, 2017 - Elsevier
Purpose This study aimed to predict local tumor control (LC) after radiochemotherapy of
head and neck squamous cell carcinoma (HNSCC) and human papillomavirus (HPV) status …

Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma

M Bogowicz, O Riesterer, LS Stark, G Studer… - Acta …, 2017 - Taylor & Francis
Purpose: An association between radiomic features extracted from CT and local tumor
control in the head and neck squamous cell carcinoma (HNSCC) has been shown. This …

Texture analysis of medical images for radiotherapy applications

E Scalco, G Rizzo - The British journal of radiology, 2017 - academic.oup.com
The high-throughput extraction of quantitative information from medical images, known as
radiomics, has grown in interest due to the current necessity to quantitatively characterize …

Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study

RTH Leijenaar, M Bogowicz, A Jochems… - The British journal of …, 2018 - academic.oup.com
Objectives: Human papillomavirus (HPV) positive oropharyngeal cancer (oropharyngeal
squamous cell carcinoma, OPSCC) is biologically and clinically different from HPV negative …

[HTML][HTML] Automatic head and neck tumor segmentation and outcome prediction relying on FDG-PET/CT images: findings from the second edition of the HECKTOR …

V Andrearczyk, V Oreiller, S Boughdad… - Medical Image …, 2023 - Elsevier
By focusing on metabolic and morphological tissue properties respectively,
FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed …