Saha, Ashirbani

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Mazurowski, M. A., Buda, M., Saha, A., & Bashir, M. R. (2019) · Journal of Magnetic Resonance Imaging

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 554

Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing

AlBadawy, E. A., Saha, A., & Mazurowski, M. A. (2018) · Medical Physics

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 208

Generative AI for brain image computing and brain network computing: a review

Gong, C., Jing, C., Chen, X., Pun, C. M., Huang, G., Saha, A., Nieuwoudt, M., Li, H.-X., Hu, Y., & Wang, S. (2023) · Frontiers in Neuroscience

Functional Brain Connectivity StudiesArtificial Intelligence in Healthcare and Education

Cited by 111

Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study

McCradden, M. D., Baba, A., Saha, A., Ahmad, S., Boparai, K., Fadaiefard, P., & Cusimano, M. D. (2020) · CMAJ Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 101

Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review

Yao, X., Kumar, M. V., Su, E., Flores Miranda, A., Saha, A., & Sussman, J. (2024) · Cancer Epidemiology

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 37