Bera, Kaustav

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019) · Nature Reviews Clinical Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,698

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Bera, K., Braman, N., Gupta, A., Velcheti, V., & Madabhushi, A. (2022) · Nature Reviews Clinical Oncology

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 819

Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P. D., Thawani, R., Corredor, G., Alilou, M., Bera, K., Fu, P., et al. (2020) · Cancer Immunology Research

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 297

Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Beig, N., Patel, J., Prasanna, P., Hill, V., Gupta, A., Correa, R., Bera, K., Singh, S., Partovi, S., Varadan, V., et al. (2018) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingGlioma Diagnosis and Treatment

Cited by 157

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

Vaidya, P., Bera, K., Gupta, A., Wang, X., Corredor, G., Fu, P., Beig, N., Prasanna, P., Patil, P. D., Velu, P. D., et al. (2020) · The Lancet Digital Health

Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment

Cited by 134

Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors

Wang, X., Barrera, C., Bera, K., Viswanathan, V. S., Azarianpour-Esfahani, S., Koyuncu, C., Velu, P., Feldman, M. D., Yang, M., Fu, P., et al. (2022) · Science Advances

Cancer Immunotherapy and BiomarkersAI in cancer detection

Cited by 89