Overview
MAPMED focuses on multimodal medical data analysis for decision support systems in precision medicine. We specialize in analyzing multimodal medical imaging data, including PET, CT, MRI, and histopathology images (H&E and SHG). We develop deep learning models for tasks such as segmentation, detection prognostication, prediction, and classification.
Technical Focus
- Radiomics
- Robust Segmentation, Prognostication, and Classification
- 3D Medical Image Preprocessing & Augmentation
Our research spans a wide array of clinical applications, including but not limited to the assessment of lung cancer treatment and surgical navigation planning for lower limb interventions.
Team
Research Scientist
Research Assistants
Research Interns: Samir Lamichhane Chhetri, Ankita Bhusal, Anu Sapkota, Prabin Thapa, Sriyanka Baral, Kalpana Acharya