Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

Thomas Booth; Bernice Akpinar; Andrei Roman; Haris Shuaib; Aysha Luis; Alysha Chelliah; Aisha Al Busaidi; Ayesha Mirchandani; Burcu Alparslan; Nina Mansoor; Keyoumars Ashkan; Sebastien Ourselin; Marc Modat

doi:10.1007/978-3-030-66843-3_21

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

Thomas Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Aisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sebastien Ourselin, Marc Modat

King's College London (KCL)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

3 Citations (Scopus)

Original language	English
Title of host publication	Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Subtitle of host publication	MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.
Publisher	Springer Nature Switzerland AG
DOIs	https://doi.org/10.1007/978-3-030-66843-3_21
Publication status	Published - 31 Dec 2020

Access to Document

10.1007/978-3-030-66843-3_21

Cite this

Booth, T., Akpinar, B., Roman, A., Shuaib, H., Luis, A., Chelliah, A., Al Busaidi, A., Mirchandani, A., Alparslan, B., Mansoor, N., Ashkan, K., Ourselin, S., & Modat, M. (2020). Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. In Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449. Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-66843-3_21

@inbook{96bea851dd4d42cead97d26245293c64,

title = "Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021",

author = "Thomas Booth and Bernice Akpinar and Andrei Roman and Haris Shuaib and Aysha Luis and Alysha Chelliah and {Al Busaidi}, Aisha and Ayesha Mirchandani and Burcu Alparslan and Nina Mansoor and Keyoumars Ashkan and Sebastien Ourselin and Marc Modat",

year = "2020",

month = dec,

day = "31",

doi = "10.1007/978-3-030-66843-3_21",

language = "English",

booktitle = "Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology",

publisher = "Springer Nature Switzerland AG",

address = "Switzerland",

}

Booth, T, Akpinar, B, Roman, A, Shuaib, H , Luis, A , Chelliah, A, Al Busaidi, A, Mirchandani, A, Alparslan, B, Mansoor, N, Ashkan, K , Ourselin, S & Modat, M 2020, Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. in Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.. Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-66843-3_21

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. / Booth, Thomas; Akpinar, Bernice; Roman, Andrei et al.
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.. Springer Nature Switzerland AG, 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

AU - Booth, Thomas

AU - Akpinar, Bernice

AU - Roman, Andrei

AU - Shuaib, Haris

AU - Luis, Aysha

AU - Chelliah, Alysha

AU - Al Busaidi, Aisha

AU - Mirchandani, Ayesha

AU - Alparslan, Burcu

AU - Mansoor, Nina

AU - Ashkan, Keyoumars

AU - Ourselin, Sebastien

AU - Modat, Marc

PY - 2020/12/31

Y1 - 2020/12/31

U2 - 10.1007/978-3-030-66843-3_21

DO - 10.1007/978-3-030-66843-3_21

M3 - Conference paper

BT - Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

PB - Springer Nature Switzerland AG

ER -

Booth T, Akpinar B, Roman A, Shuaib H , Luis A , Chelliah A et al. Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. In Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.. Springer Nature Switzerland AG. 2020 doi: 10.1007/978-3-030-66843-3_21