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Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy

• Authors : Buchner, Josef A; https://orcid.org/0000-0003-3322-2534; Kofler, Florian

Subjects: Clinic for Radiation Oncology; 610 Medicine & health; Journal Article

• Source: Buchner, Josef A; Kofler, Florian; Mayinger, Michael; Christ, Sebastian M; Brunner, Thomas B; Wittig, Andrea; Menze, Bjoern; Zimmer, Claus; Meyer, Bernhard; Guckenberger, Matthias; Andratschke,

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Performance of radiomics-based artificial intelligence systems in the diagnosis and prediction of treatment response and survival in esophageal cancer: a systematic review and meta-analysis of diagnostic accuracy.

• Authors : Menon N; Department of General Surgery, Oxford University Hospitals, Oxford, UK.; Guidozzi N

Subjects: Positron Emission Tomography Computed Tomography*/Positron Emission Tomography Computed Tomography*/Positron Emission Tomography Computed Tomography*/methods ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/diagnostic imaging ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/therapy

• Source: Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus [Dis Esophagus] 2023 May 27; Vol. 36 (6).Publisher: Oxford University Press Country of Publication: United States NLM ID: 8809160 Publication Model: Print Cited

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Prediction of out-of-field recurrence after chemoradiotherapy for cervical cancer using a combination model of clinical parameters and magnetic resonance imaging radiomics: a multi-institutional study of the Japanese Radiation Oncology Study Group

• Authors : Ikushima, Hitoshi; Haga, Akihiro; Ando, Ken

Subjects: Journal Article

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Radiomics Response Signature for Identification of Metastatic Colorectal Cancer Sensitive to Therapies Targeting EGFR Pathway.

• Authors : UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie; UCL - (SLuc) Service de gastro-entérologie; Dercle, Laurent

Subjects: Antineoplastic Combined Chemotherapy Protocols; Biomarkers, Pharmacological; Biomarkers, Tumor

• Source: Journal of the National Cancer Institute, Vol. 112, no.9, p. 902-912 (2020)

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MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study

• Authors : Tam, Lydia T.; Yeom, Kristen W.; Wright, Jason N. ...

Subjects: Diffuse intrinsic pontine gliomas; Diffuse midline glioma; H3K27M-mutant

• Source: PMC

تفاصيل العنوان

Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy

• Authors : Buchner, Josef A; Kofler, Florian; Mayinger, Michael

Subjects: Clinic for Radiation Oncology; Department of Quantitative Biomedicine; 610 Medicine & health

• Source: Buchner, Josef A; Kofler, Florian; Mayinger, Michael; Christ, Sebastian M; Brunner, Thomas B; Wittig, Andrea; Menze, Bjoern; Zimmer, Claus; Meyer, Bernhard; Guckenberger, Matthias; Andratschke,

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Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics

• Authors : Yoon Seong Choi; Sohi Bae; Jong Hee Chang

Subjects: Brain Neoplasms* / diagnostic imaging; Brain Neoplasms* / genetics; Deep Learning

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Cardiac magnetic resonance radiomics: basic principles and clinical perspectives.

• Authors : Raisi-Estabragh, Z; Izquierdo, C; Campello, VM

Subjects: cardiac magnetic resonance; image-based diagnosis; machine learning

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Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging

• Authors : Lost, Jan; Ashraf, Nader; Jekel, Leon ...

Subjects: Gliomas; Machine learning; MRI

• Source: PMC

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Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients.

• Authors : Miao S; School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.; Jia H

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Deep Learning*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Nov 19; Vol. 23 (6).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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