Rate My Professor Yasmeen George

Her research focuses on artificial intelligence, machine learning, medical image and video analytics, and healthcare data analytics in radiology, dermatology, neurology, oncology, and ophthalmology. Key applications include AI for automated analysis of kidney, breast, skin, and brain cancers, glaucoma, and psoriasis, involving cancer segmentation, classification, disease severity assessment, and lesion detection across text, numerical, 2D images, and 3D volumes. Notable publications are: "Attention-guided 3D-CNN framework for glaucoma detection and structural-functional association using volumetric images" (2020, IEEE Journal of Biomedical and Health Informatics); "Real-time spatio-temporal event detection on geotagged social media" (2021, Journal of Big Data); "Automatic scale severity assessment method in psoriasis skin images using local descriptors" (2020, IEEE Journal of Biomedical and Health Informatics); "Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering" (2017, Journal of Medical Imaging); and "A coarse-to-fine 3D U-net network for semantic segmentation of kidney CT scans" (2022). George holds two patents, has delivered invited talks, and secured grants including from MRFF and NHMRC. She received the Heidelberg Laureate Foundation Alumni Award in 2023. Her work contributes to UN SDGs 3 and 12.