Medical imaging is crucial for assessing, diagnosing, monitoring, and treating physiological and pathological systems. The dawn of digital medical imaging opened the door for the opportunity of developing computer-aided-diagnosis and innovative intelligent systems on a multi-scale level. p>
Our research group has a firm foundation on traditional image processing techniques which has been built upon with the addition of innovative intelligent systems. Our expertise covers numerous imaging modalities with a solid basis on multi-scale levels, ranging from the single cell level up to the whole organ level, as can be seen here.
Dermatological image analysis

Digital pathology image analysis

Fluorescence microscopy image analysis

Identification of Active Bone Marrow from CT images

Multi-modal CT/PET analysis for neuroendocrine tumors

Muscle synergy assessment during cyclic and non-cyclic movements

Non-invasive vascular quantification using ultrasound imaging and biomedical optical imaging

Radio-pathomics for personalized chemotherapy treatment

Radiomics and AI for CAD Systems development

Synthetic image generation using Generative Adversarial Networks (GANs)

The impact of ultrasound beamforming techniques on image processing algorithms

Ultrasound B-mode image segmentation and radiomics

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NEWS
- XLII Annual School 2023 – Registration is open June 8, 2023
- Premi GNB 2023 – Gruppo Nazionale Bioingegneria April 17, 2023
- BANDO DI CONCORSO PER L’ASSEGNAZIONE DI DUE PREMI DI LAUREA – EDIZIONE 2023 April 7, 2023
- Inaugural ISEK DeLuca Symposium January 26, 2023
- Post-doc in data analytics per applicazioni di sensoristica elettronica medica/biologica November 10, 2022