Medical Image Analysis using Innovative Intelligent Systems

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.

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

Brief Description: Dermatology is the branch of medicine dealing with the skin and it is a specialty with both medical and surgical aspects. Dermatological imaging plays a key role in the clinical evaluation of skin lesions. The appearance, morphology, shape, and distributi ...read more...

Digital pathology image analysis

Brief Description: The analysis of histological slides is fundamental for cancer diagnosis and grading, typically performed by an expert pathologist, and this process is becoming more and more complex due to the rise in cancer incidence and patient-specific treatment option ...read more...

Fluorescence microscopy image analysis

Brief Description: Fluorescence microscopy is a widely used tool for monitoring cellular physiology. The absorption and subsequent re-radiation of light by organic and inorganic specimens is typically the result of well-established physical phenomena described as fluorescen ...read more...

Identification of Active Bone Marrow from CT images

Brief Description: A crucial point in radiotherapy is to correctly identify bone marrow (BM) and implement strategies able to selectively spare it, since the radiation dose received by this structure is a predictive factor for hematologic toxicity occurrence. ...read more...

Multi-modal CT/PET analysis for neuroendocrine tumors

Brief Description: Neuroendocrine neoplasms (NENs) are a heterogeneous group of malignancies which arise from neuroendocrine cells and are divided into well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). Currently, 18 ...read more...

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

Brief Description: Blood vessels are the only system to provide nutrients and oxygen to every part of the body. Many diseases can have significant effects on blood vessel formation, so the vascular network can be a cue to assess malicious tumor and ischemic tissues. Various ...read more...

Radiomics and AI for CAD Systems development

Brief Description: Radiomics is defined as “process designed to extract a large number of quantitative features from digital images”. Its final aim is to extract hidden information from images that can be useful to develop Computer-Aided Diagnosis (CAD) systems and decision ...read more...

Synthetic image generation using Generative Adversarial Networks (GANs)

Brief Description: In the deep learning era, having access to a large quantity of data is fundamental to build systems with the desired performances and reliability. The medical field is not an exception. Moreover, the added challenges of dealing with sensitive data, follow ...read more...

The impact of ultrasound beamforming techniques on image processing algorithms

Brief Description: Ultrasound imaging can be effective for analysing pathological and normal tissues, by studying both the structure and texture in B-mode images. The output B-mode image is influenced by several technical aspects during acquisition, such as the probe freque ...read more...

Ultrasound B-mode image segmentation and radiomics

Brief Description: Ultrasound imaging is widely used in medicine thanks to its many advantages: this versatile imaging technique does not use ionizing radiation, is inexpensive, allows real-time imaging, and is portable, allowing for crucial point-of-care applications. On t ...read more...