Research Collaboration & Reporting

• End‑to‑end support for imaging research: from protocol design and dataset curation to statistical reporting and visualization.

• Generation of publication‑ready graphics, quantitative tables, and supplementary analyses for manuscripts and grants.

MRI Quantitative & Structural Analysis

• Volumetric Imaging, Diffusion Imaging, Perfusion Imaging, and Advanced susceptibility mapping (SWI, mIP, QSM, vascular and microbleed segmentation)

• Brain morphometry, volumetric segmentation and lesion load quantification.

• Tumor, edema, and necrotic core volume estimation using multi-sequence workflows (FLAIR, T1CE, T2).

CT Imaging & Radiomics

• Lung and abdominal organ segmentation.

• Texture and density analysis for tumor or parenchymal assessment.

• Custom radiomic feature extraction and harmonization 

PET Image Quantification

• SUV calculation, kinetic modeling, and registration with CT/MRI.

• Automated ROI extraction and dynamic uptake analysis for oncology and neurology studies.

AI & Deep Learning in Medical Imaging

• Developing convolutional neural networks (CNNs), U-Nets, and transformers for image segmentation and classification.

• Training and deploying AI models using PyTorch, MONAI, and TensorFlow for diagnostic and radiogenomic prediction.

• Integration of explainable AI (Grad-CAM, SHAP) for model transparency and validation.

Multi‑Modal Data Integration

• Co-registration and fusion of MRI–PET–CT datasets.

• Longitudinal and cross-sectional data standardization, bias correction, and harmonization.