We have many years of experience with Deep Learning (DL) applied to Medical Imaging, in a very broad sense. In particular, we recently focused our efforts in the field of Digital Pathology and Cardiac Magnetic Resonance. We also develop tools for MIA-related algorithms and tasks, like feature extraction, pre-processing and post-hoc explainability. I have direct experience with MRI, CT scans, and X-rays.
Some projects:
- NUTSHELL: AI for Digital Pathology applied to the identification of tumors in thyroid WSI
- DL for the segmentation of prostate
- MedGA: evolutionary image enhancement
- HaraliCU: GPU-powered Haralick features extraction
- DSUUL: MALDI-MSI unsupervised analysis
- Scar detection and segmentation in Cardiac Magnetic Resonance
- Characterization of STIM1 tubular aggregate myopathy from Muscular Magnetic Resonance