Dimitris Visvikis
Physics in Medicine and Biology · 2004–2016
A researcher in the Science corpus: 6 papers; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Who trusts Dimitris Visvikis
- I. E. El Naqa (in Radiology, Nuclear Medicine and Imaging)
- Habib Zaidi (in Radiology, Nuclear Medicine and Imaging)
Papers from Dimitris Visvikis's perspective
Ordered by how strongly the researchers Dimitris Visvikis trusts endorse each paper. Same corpus, a different order for every researcher.
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Nature Communications)
- Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
- Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
- Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing (New England Journal of Medicine)
- Machine Learning methods for Quantitative Radiomic Biomarkers (Scientific Reports)
- Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (Frontiers in Oncology)
- Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? (Insights into Imaging)
- Exploring feature-based approaches in PET images for predicting cancer treatment outcomes (Pattern Recognition)
- A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET (IEEE Transactions on Medical Imaging)
- New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer… (Journal of the National Cancer Institute)
Their papers
- A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET (2009) — 373 citations
- Characterization of PET/CT images using texture analysis: the past, the present… any future? (2016) — 445 citations
- A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications. (2014) — 463 citations
- GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy (2011) — 796 citations
- Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer (2011) — 716 citations
- GATE: a simulation toolkit for PET and SPECT (2004) — 2,225 citations