Senior Researcher · I-MED Radiology Network
Honorary Fellow · The University of Queensland
Adjunct Lecturer · Charles Darwin University
Developing and evaluating imaging AI and quantitative biomarkers for neurological and occupational lung disease.
I develop machine learning methods and quantitative imaging tools to study disease, and evaluate how they perform in clinical data.
MRI methods for epilepsy lesion detection, seizure recurrence prediction, Alzheimer’s disease and Friedreich’s ataxia.
HRCT assessment in dust-exposed workers, quantitative lung imaging, and relationships between imaging and pulmonary function.
Robust validation, multi-site data analysis, diagnostic performance, and reproducible workflows that support clinical interpretation.
I welcome collaborations with clinicians, imaging scientists and AI researchers, and enquiries about student research in medical imaging AI, segmentation and quantitative biomarkers.
soumen.ghosh@uq.edu.au · Brisbane, Australia
Teaching & supervision · About & CV