Kanika Bhalla, PhD

Washington University in St. Louis (WU)

Cancer imaging phenotypes: emphasizing tumor segmentation from MRI images. Quantitative imaging biomarkers enhance precision for personalized breast cancer screening and early detection. Data-intensive biomedical science: big data; data fusion/multimodal learning, segmentation, soft computing, image filtering, pattern recognition, dimensionality reduction, machine learning/deep learning. Clinical and translational imaging research: precision medicine; translation of computational imaging analytics and machine learning models into decision making to improve outcomes for cancer patients by basic and translational research.