Veeraraghavan, Harini

A rectal cancer organoid platform to study individual responses to chemoradiation

Ganesh, K., Wu, C., O’Rourke, K. P., Szeglin, B. C., Zheng, Y., Sauvé, C.-E. G., Adileh, M., Wasserman, I., Marco, M. R., Kim, A. S., et al. (2019) · Nature Medicine

Cancer Cells and MetastasisColorectal Cancer Surgical Treatments

Cited by 569

Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

Wibmer, A., Hricak, H., Gondo, T., Matsumoto, K., Veeraraghavan, H., Fehr, D., Zheng, J., Goldman, D., Moskowitz, C., Fine, S. W., et al. (2015) · European Radiology

Radiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and Treatment

Cited by 391

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., et al. (2022) · Nature Cancer

Ovarian cancer diagnosis and treatmentRadiomics and Machine Learning in Medical Imaging

Cited by 357