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Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms

• Authors : Gergő Veres; János Kiss; Norman Félix Vas

Subjects: Medicine (General); 03 medical and health sciences; R5-920

• Source: Diagnostics (Basel)Diagnostics, Vol 12, Iss 9, p 2196 (2022)Diagnostics; Volume 12; Issue 9; Pages: 2196

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Presentation_1_MRI-based clinical radiomics nomogram may predict the early response after concurrent chemoradiotherapy in locally advanced nasopharyngeal carcinoma.pdf

• Authors : Mengxing Wu; Weilin Xu; Yinjiao Fei

Subjects: Cancer; Cancer Cell Biology; Cancer Diagnosis

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Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics

• Authors : Ari, Asena Petek; Akkurt, Burak Han; Musigmann, Manfred ...

Subjects: Radboudumc 18: Healthcare improvement science RIHS: Radboud Institute for Health Sciences; CONVENTIONAL MRI; Science

• Source: Sci RepScientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)Scientific Reports, 12, 1

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Can Radiomics Provide Additional Information in [18F]FET-Negative Gliomas?

• Authors : Katharina Von Rohr; Marcus Unterrainer; Adrien Holzgreve

Subjects: 03 medical and health sciences; amino acid PET; 0302 clinical medicine

• Source: Cancers (Basel)Cancers; Volume 14; Issue 19; Pages: 4860Cancers 14(19), 4860 (2022). doi:10.3390/cancers14194860 special issue: "Cancer: Updates on Imaging and Machine Learning"

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Presentation_1_Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors.pdf

• Authors : Changhee Park (14321208); Dong Young Jeong (14321211); Yeonu Choi (14321214)

Subjects: Immunology; Applied Immunology (incl. Antibody Engineering; Xenotransplantation and T-cell Therapies)

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Presentation 1_Enhancing prediction of primary site recurrence in head and neck cancer using radiomics and uncertainty estimation.pdf

• Authors : Yu Hu; Kimberly Taing; Jing Wang

Subjects: Knowledge Representation and Machine Learning; head and neck cancer; medical image analysis

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Multi State Survival Supervised Clustering for Radiomics-Based Cancer Subtyping

• Authors : Cavinato, Lara; Rocchi, Marco; Viganò, Luca ...

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Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics: A Comparison of Semantic Image Analysis and Radiomics

• Authors : Sarah C. Foreman; Matthew J. Nyflot; Yannik Leonhardt

Subjects: 2. Zero hunger; 4. Education; soft-tissue sarcomas

• Source: Cancers (Basel)CancersVolume 13Issue 8Cancers 13:1929 (2021)

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Transfer-Learning Deep Radiomics and Hand-Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer

• Authors : Fabian Christopher Laqua; Piotr Woznicki; Thorsten A. Bley

Subjects: ddc:610; computed tomography; computational neural networks

• Source: Cancers (Basel)Cancers; Volume 15; Issue 10; Pages: 2850

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Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma

• Authors : Catharina Silvia Lisson; Christoph Gerhard Lisson; Marc Fabian Mezger

Subjects: 03 medical and health sciences; 0302 clinical medicine; radiomics

• Source: Cancers (Basel)Cancers; Volume 14; Issue 8; Pages: 2008

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