Browsing Radiotherapy and Imaging by author "Yuan, Yinyin"
Now showing items 1-7 of 7
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Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology.
Sobhani, F; Robinson, R; Hamidinekoo, A; Roxanis, I; Somaiah, N; et al. (ELSEVIER, 2021-02-06)The field of immuno-oncology has expanded rapidly over the past decade, but key questions remain. How does tumour-immune interaction regulate disease progression? How can we prospectively identify patients who will benefit ... -
Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis.
Winfield, JM; Wakefield, JC; Brenton, JD; AbdulJabbar, K; Savio, A; et al. (SPRINGERNATURE, 2021-03-16)BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) potentially interrogates site-specific response to neoadjuvant chemotherapy (NAC) in epithelial ovarian cancer (EOC). METHODS: Participants with newly ... -
Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography.
Li, J; Zormpas-Petridis, K; Boult, JKR; Reeves, EL; Heindl, A; et al. (AMER ASSOC CANCER RESEARCH, 2019-11-15)Increased stiffness in the extracellular matrix (ECM) contributes to tumor progression and metastasis. Therefore, stromal modulating therapies and accompanying biomarkers are being developed to target ECM stiffness. Magnetic ... -
MRI Imaging of the Hemodynamic Vasculature of Neuroblastoma Predicts Response to Antiangiogenic Treatment.
Zormpas-Petridis, K; Jerome, NP; Blackledge, MD; Carceller, F; Poon, E; et al. (AMER ASSOC CANCER RESEARCH, 2019-06)Childhood neuroblastoma is a hypervascular tumor of neural origin, for which antiangiogenic drugs are currently being evaluated; however, predictive biomarkers of treatment response, crucial for successful delivery of ... -
Noninvasive MRI Native T1 Mapping Detects Response to MYCN-targeted Therapies in the Th-MYCN Model of Neuroblastoma.
Zormpas-Petridis, K; Poon, E; Clarke, M; Jerome, NP; Boult, JKR; et al. (AMER ASSOC CANCER RESEARCH, 2020-08-15)Noninvasive early indicators of treatment response are crucial to the successful delivery of precision medicine in children with cancer. Neuroblastoma is a common solid tumor of young children that arises from anomalies ... -
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images.
Zormpas-Petridis, K; Noguera, R; Ivankovic, DK; Roxanis, I; Jamin, Y; et al. (FRONTIERS MEDIA SA, 2021-01-20)High computational cost associated with digital pathology image analysis approaches is a challenge towards their translation in routine pathology clinic. Here, we propose a computationally efficient framework (SuperHistopath), ... -
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology.
Zormpas-Petridis, K; Failmezger, H; Raza, SEA; Roxanis, I; Jamin, Y; et al. (FRONTIERS MEDIA SA, 2019-10-11)Computational pathology-based cell classification algorithms are revolutionizing the study of the tumor microenvironment and can provide novel predictive/prognosis biomarkers crucial for the delivery of precision oncology. ...