Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy

Learning Methods ◽

Dose Metrics ◽

Head And Neck Radiotherapy ◽

Ntcp Modelling

Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy

Clinical and Translational Radiation Oncology ◽

10.1016/j.ctro.2017.11.009 ◽

2018 ◽

Vol 8 ◽

pp. 27-39 ◽

Cited By ~ 10

Author(s):

Jamie Dean ◽

Kee Wong ◽

Hiram Gay ◽

Liam Welsh ◽

Ann-Britt Jones ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck ◽

Normal Tissue ◽

Dose Metrics ◽

Acute Dysphagia ◽

Head And Neck Radiotherapy

Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia

Frontiers in Oncology ◽

10.3389/fonc.2018.00035 ◽

2018 ◽

Vol 8 ◽

Cited By ~ 33

Author(s):

Hubert S. Gabryś ◽

Florian Buettner ◽

Florian Sterzing ◽

Henrik Hauswald ◽

Mark Bangert

Keyword(s):

Machine Learning ◽

Normal Tissue ◽

Learning Methods ◽

Probability Modeling ◽

Selection Of

Machine learning methods applied to audit of surgical outcomes after treatment for cancer of the head and neck

British Journal of Oral and Maxillofacial Surgery ◽

10.1016/j.bjoms.2019.05.026 ◽

2019 ◽

Vol 57 (8) ◽

pp. 771-777 ◽

Cited By ~ 4

Author(s):

D. Tighe ◽

T. Lewis-Morris ◽

A. Freitas

Keyword(s):

Machine Learning ◽

Head And Neck ◽

Surgical Outcomes ◽

Learning Methods ◽

Outcome prediction in head and neck cancer patients using machine learning methods

10.17077/etd.wr7nz268 ◽

2014 ◽

Author(s):

David John Dellsperger

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Outcome Prediction ◽

Learning Methods ◽

Multivariable normal tissue complication probability model-based treatment plan optimization for grade 2–4 dysphagia and tube feeding dependence in head and neck radiotherapy

Radiotherapy and Oncology ◽

10.1016/j.radonc.2016.08.016 ◽

2016 ◽

Vol 121 (3) ◽

pp. 374-380 ◽

Cited By ~ 8

Author(s):

Roel G.J. Kierkels ◽

Kim Wopken ◽

Ruurd Visser ◽

Erik W. Korevaar ◽

Arjen van der Schaaf ◽

...

Keyword(s):

Head And Neck ◽

Normal Tissue ◽

Treatment Plan ◽

Probability Model ◽

Tube Feeding ◽

Model Based ◽

Plan Optimization ◽

Treatment Plan Optimization ◽

Head And Neck Radiotherapy

Machine Learning Methods Uncover Radio-Morphologic Dose Patterns in Salivary Glands That Predict Xerostomia in Head and Neck Cancer Patients

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2018.07.125 ◽

2018 ◽

Vol 102 (3) ◽

pp. S212 ◽

Cited By ~ 1

Author(s):

T.R. McNutt ◽

W. Jiang ◽

P. Lakshminarayanan ◽

Z. Cheng ◽

M.R. Bowers ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Salivary Glands ◽

Cancer Patients ◽

Neck Cancer ◽

Learning Methods ◽

Machine learning methods applied to audit of surgical margins after curative surgery for head and neck cancer

British Journal of Oral and Maxillofacial Surgery ◽

10.1016/j.bjoms.2020.08.041 ◽

2020 ◽

Author(s):

D. Tighe ◽

F. Fabris ◽

A. Freitas

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Neck Cancer ◽

Surgical Margins ◽

Curative Surgery ◽

Learning Methods ◽

Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer

Advances in Radiation Oncology ◽

10.1016/j.adro.2018.11.008 ◽

2019 ◽

Vol 4 (2) ◽

pp. 401-412 ◽

Cited By ~ 12

Author(s):

Wei Jiang ◽

Pranav Lakshminarayanan ◽

Xuan Hui ◽

Peijin Han ◽

Zhi Cheng ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Salivary Glands ◽

Neck Cancer ◽

Learning Methods ◽

Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Interpretable Machine Learning

Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Automatic Interpretation ◽

Open Hole