Anshika
Kesari
PhD Candidate · Biomedical Engineering
Medical Signal & Image Processing Lab, IIT Delhi — based in Dublin, Ireland
I build deep-learning pipelines that make brain-tumor MRI assessment more objective and reproducible.
Biomedical imaging & ML for healthcare
I am a Ph.D. scholar at the Centre for Biomedical Engineering, Indian Institute of Technology, Delhi. I received my master's degree (M.Tech) in Control and Instrumentation Engineering from Dr B. R. Ambedkar National Institute of Technology, Jalandhar in 2020, and my bachelor's degree (B.Tech) in Instrumentation and Control Engineering from the Institute of Engineering and Rural Technology, Prayagraj in 2017.
My broad research interests are in biomedical imaging and the applications of artificial intelligence and machine learning in healthcare. My work centers on the development of methods, techniques, and software for medical image processing and analysis, and on evaluating their potential applications in disease diagnosis, treatment planning, and response assessment. My earlier work also extends to EEG signal analysis and Brain–Computer Interfaces (BCI).
Current Focus
Automatic vessel segmentation in DCE-MRI
A Swin UNETR pipeline removes large blood-vessel bias from perfusion maps, improving the objectivity of tumor grading — published in Magnetic Resonance Imaging (2025).
