Ongoing Research Projects
Augmented Reality assisted selection of PAtient-specific prosthesis and surgical NAvigation (ARPANA)
Development of an AR-assisted patient-specific prosthesis planning framework integrating CT-based femur segmentation, 3D anatomical reconstruction, virtual prosthesis fitting, and accurate registration for enhanced preoperative surgical planning.
Artificial Intelligence Assisted Ultrasound-guided Surgery of Non-palpable Breast Cancer and Therapy (AASTHA) and Photo Acoustic Imaging
Development of an integrated ultrasound and photoacoustic imaging framework combining protein microbubble-based tumor visualization, AI-driven tumor and vascular segmentation, perfusion monitoring, and ultrasound-guided post-therapy assessment.
Augmented Reality Surgical Safety for enhanced intraoperative guidance
Development of an AR-assisted surgical safety framework integrating real-time instrument tracking, critical-structure localization, and predictive action analysis to identify safe intervention zones and provide visual and auditory alerts for unsafe surgical actions.
4D Cardiac Modelling of Paediatric Heart
Development of an interactive 4D paediatric heart visualization and modelling framework integrating dynamic cardiac motion, anatomical and congenital defect representation, 3D printing with hemodynamic flow simulation, and patient-specific computer vision for clinical and surgical planning.
Multispectral SWIR imaging for surgical Augmentation of Non-palpable Breast Cancer Lesions (MIRABeL)
Development of a SWIR fluorescence-guided, AR-assisted breast tumor localization and resection framework integrating pHLIP-ICG-based tumor-specific imaging, AI-driven real-time margin detection, and preoperative radiological information for precise, markerless resection of non-palpable breast tumors.
Portable Intraoral Multispectral Imager for Cancer Screening (PROMISE)
Development of a non-invasive, multispectral optical imaging framework for early detection and characterization of precancerous and cancerous oral lesions by analyzing wavelength-dependent tissue responses to identify abnormalities in vascularity, necrosis, malignant cells, and fibrosis.
Pre-screening of Glaucoma using predictive modeling of tear fern patterns (ASRU)
Development of a low-cost, non-invasive point-of-care (POC) digital microscopy device for rapid glaucoma pre-screening, integrating tear fern pattern texture analysis and explainable AI-based predictive modelling to identify surrogate biomarkers and enable real-time risk prediction at the primary healthcare level.
AI Augmented oocyte retrieval for Assisted Reproductive Technologies (AI4ART)
Development of an AI-augmented, intravital molecular ultrasound-guided oocyte retrieval system for IVF patients with endometriosis, integrating real-time critical structure identification and avoidance to enhance procedural precision and safety, while advancing the integration of AI with assisted reproductive technology (ART).
iPathoSPIM & PRATIMA
Development of a machine-vision-augmented multispectral microscopy platform integrating multiscale selective plane illumination microscopy (SPIM) and programmable LED illumination for enhanced tissue penetration, morphological and pathological characterization, multispectral image acquisition, and on-chip image preprocessing for digital pathology.
Image Processing based approach for OCT Skin Image Enhancement and Wound Analysis
Development of a fully non-invasive, OCT-based skin wound assessment framework integrating image processing and CNN-based enhancement and analysis of normal and wounded tissue images to accurately characterize wound conditions, support reliable healing assessment, and reduce the need for invasive histopathological examination.
