Balagurunathan, Yoganand

Radiomics: the process and the challenges

Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 2,258

Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

Grove, O., Berglund, A. E., Schabath, M. B., Aerts, H. J. W. L., Dekker, A., Wang, H., Velazquez, E. R., Lambin, P., Gu, Y., Balagurunathan, Y., et al. (2015) · PLOS ONE

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 263

High metabolic tumor volume is associated with decreased efficacy of axicabtagene ciloleucel in large B-cell lymphoma

Dean, E. A., Mhaskar, R. S., Lu, H., Mousa, M. S., Krivenko, G. S., Lazaryan, A., Bachmeier, C. A., Chavez, J. C., Nishihori, T., Davila, M. L., et al. (2020) · Blood Advances

CAR-T cell therapy researchLymphoma Diagnosis and Treatment

Cited by 256

Radiologically Defined Ecological Dynamics and Clinical Outcomes in Glioblastoma Multiforme: Preliminary Results

Zhou, M., Hall, L., Goldgof, D., Russo, R., Balagurunathan, Y., Gillies, R., & Gatenby, R. (2014) · Translational Oncology

Radiomics and Machine Learning in Medical ImagingGlioma Diagnosis and Treatment

Cited by 97

Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy

Polk, S. L., Choi, J. W., McGettigan, M. J., Rose, T., Ahmed, A., Kim, J., Jiang, K., Balagurunathan, Y., Qi, J., Farah, P. T., et al. (2020) · World Journal of Gastroenterology

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 48