Yoganand Balagurunathan
Moffitt Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Cancer, Hypoxia, and Metabolism, Medical Imaging Techniques and Applications, MRI in cancer diagnosis
Most-Cited Works
- → Radiomics: the process and the challenges(2012)2,229 cited
- → Acidity Generated by the Tumor Microenvironment Drives Local Invasion(2013)1,335 cited
- → Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels(2017)571 cited
- → Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas(2016)322 cited
- → Reproducibility and Prognosis of Quantitative Features Extracted from CT Images(2014)300 cited
- → Predicting Malignant Nodules from Screening CT Scans(2016)297 cited
- → Test–Retest Reproducibility Analysis of Lung CT Image Features(2014)264 cited
- → Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma(2015)260 cited
- → High metabolic tumor volume is associated with decreased efficacy of axicabtagene ciloleucel in large B-cell lymphoma(2020)235 cited
- → CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma(2016)226 cited