Currently, I work on building intelligent healthcare software, bridging the gap between clinical imaging infrastructure (Dicoogle / PACS) and AI-driven diagnostic workflows. My work focuses on processing DICOM datasets, developing OCR pipelines for clinical environments, and deploying deep learning models for medical image analysis.
- 📷 Medical Imaging & PACS: DICOM standards, Dicoogle plugin development, metadata indexation, and PACS/VNA integrations.
- 👁️ Medical AI & Computer Vision: Deep learning models for segmentation, classification, and detection in multi-modal radiology (CT, MRI, X-ray).
- ⚙️ Data Pipelines: End-to-end preprocessing, anonymization, ingestion and OCR workflows for large-scale medical datasets.
Medical Imaging & Frameworks
Dicoogle • DICOM • MONAI • SimpleITK • pydicom • OpenCV
AI / Machine Learning & OCR
PyTorch • TensorFlow • Tesseract OCR • EasyOCR • scikit-learn
Languages & Backend
Python • Java • C • FastAPI • Docker • Git