Lowrence Pireira H. A
Medical Imaging Technician @National Institute Of Mental Health And Neuro Sciences Nimhans , India
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WORK HISTORY
Medical Imaging Technician @National Institute Of Mental Health And Neuro Sciences Nimhans , India
Bengaluru, IN
Operated MRI, CT, and Cath-Lab equipment, ensuring high-qualitoy imaging for accurate diagnoses. • Provided exceptional patient care while conducting hybrid imaging procedures, including PET-MR and fMRI. • Collaborated with healthcare professionals to optimize imaging protocols, enhancing patient outcomes and workflow efficiency.
EDUCATION
National Institute of Mental Health and Neuro Sciences (NIMHANS), India
Bachelor of Science - BS, Radiologic Technology/Science - Radiographer
ABOUT LOWRENCE PIREIRA H. A
I sit at the rare intersection of high-field clinical neuroimaging and computational AI and ML model developments. As a Medical Imaging Technologist at NIMHANS (Institute of National Importance), I do more than operate India\'s most advanced imaging suites—I engineer solutions to optimize them by belowed info.The Clinical Edge:My daily operational reality involves managing complex neuro-protocols on 3T systems (Siemens Vida, Cima.X, Philips Ingenia) and hybrid modalities like PET-MRI. From intraoperative MR guidance to high-stakes interventional radiology (DSA, Flow Diverters, AVM Embolization), I deliver precision diagnostic data under critical pressure. The Technical Advantage:Unlike traditional technologists, I bridge the gap between image acquisition and data science. I have Architected a physics-accurate MRI Gradient Simulator in Python to model k-space trajectories deployed in stream lit and GitHub. Developed a Deep Learning segmentation model from scratch using MONAI and TorchIO for 3D neuroimaging still some of the ML models am training using open source infrastructure Ex :@Google AutoML @H2o.ai. Deployed \"ELR 103,\" a mobile application for MRI physics visualization, used as an educational tool by peers. My goal is to leverage this dual expertise—clinical mastery and algorithmic innovation—to drive the next generation of AI-integrated diagnostic imaging.
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