Research output per year
Research output per year
Personal profile
Overview
I am Associate Professor in Artificial Intelligence at the School of Engineering.
I joined LSBU in 2019 from the University of Padova, where I spent most of my studying and early research years.
I graduated in Electrical Engineering at the University of Padova in 2000, and then I earned the PhD in Bioengineering jointly from University of Padova and City University London in 2005. After being intern in Siemens Corporate Research in 2005, and then post-doc fellow in Padova, I was appointed Assistant Professor in Bioengineering in 2008, a post held until 2022. I was Visiting Senior Lecturer at King's College London in 2017-2019, and Visiting Research Fellow at University of Warwick in 2018-2021.
Since 2024, I am Director of the Bioscience and Bioengineering University Research Centre at LSBU.
Research Interests
My main research activities involve classical image analysis and computer vision methods for the understanding and interpretation of biomedical images. Machine learning and deep learning techniques are part of this tools.
The goal of my research is to create added value for the clinician who has to manage patients integrating very complex data. This can be achieved by extracting hidden or implicit knowledge from images and in particular of image-derived biomarkers.
Current and past projects involved the analysis of a wide range of data, including retinal images, confocal endomicroscopy images for virtual histology, multispectral brain MRI, perfusion patterns in contrast-enhanced ultrasound, prenatal ultrasound, and neuroanatomical data from non-human mammals.
The goal of my research is to create added value for the clinician who has to manage patients integrating very complex data. This can be achieved by extracting hidden or implicit knowledge from images and in particular of image-derived biomarkers.
Current and past projects involved the analysis of a wide range of data, including retinal images, confocal endomicroscopy images for virtual histology, multispectral brain MRI, perfusion patterns in contrast-enhanced ultrasound, prenatal ultrasound, and neuroanatomical data from non-human mammals.
Additional Responsibility
Director - Bioscience and Bioengineering Researh Center
Course Director - MSc Applied Artificial Intelligence
Course Director - MSc Data Science
Subjects Taught
Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Bioengineering
2002 → 2005
MSc in Electrical Engineering
1994 → 2000
External Positions and Roles
Visiting Research Fellow, University of Warwick
2018 → 2021
Visting Senior Lecturer, King's College London
2017 → 2018
Lecturer in Biomedical Engineering, University of Padova
2008 → 2022
Fingerprint
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Revealing Cortical Layers in Histological Brain Images with Self-Supervised Graph Convolutional Networks Applied to Cell-Graphs
Vadori, V., Peruffo, A., Graïc, J.-M., Vadori, G., Finos, L. & Grisan, E., 27 May 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p. (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile4 Downloads (Pure) -
Inflammation Detection Using Ensemble Endoscopic Multimodal Assessment in Inflammatory Bowel Disease
Kolawole, B. B., Chaudhari, U., Santacroce, G., Zammarchi, I., Del Amor, R., Meseguer, P., Buda, A., Bisschops, R., Naranjo, V., Ghosh, S., Iacucci, M. & Grisan, E., 27 May 2024, 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Institute of Electrical and Electronics Engineers (IEEE), 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile3 Downloads (Pure) -
Simultaneous Detection and Conversion Among Endoscopic Enhancement Modalities
Chaudhari, U., Kolawole, B. B., Santacroce, G., Zanmarchi, I., Del Amor, R., Meseguer, P., Buda, A., Bisschop, R., Naranjo, V., Ghosh, S., Iacucci, M. & Grisan, E., 27 May 2024, In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI). p. 1-4 4 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
Opportunities and Challenges in Applying AI to Evolutionary Morphology
He, Y., Mulqueeney, J. M., Watt, E. C., Salili-James, A., Barber, N. S., Camaiti, M., Hunt, E. S. E., Kippa, O., Knapp, A., Lanzetti, A., Rangel-de Lázaro,, G., McMinn, J. K., Minus, J., Mohan, A. V., Roberts, L. E., Adhami, D., Grisan, E., Gu, Q., Herridge, V. & Poon, S. T. S. & 2 others, , 23 Sept 2024, In: Integrative Organismal Biology. 6, 1, 50 p., obae036.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Citation (Scopus)102 Downloads (Pure) -
Artificial Intelligence and Endo-Histo-OMICs: New Dimensions of Precision Endoscopy and Histology in Inflammatory Bowel Disease
Iacucci, M., Kiran, U., Grisan, E., Santacroce, G., Zanmarchi, I., Maeda, Y., Del Amor, R., Meseguer, P., Kolawole, B. B., Di Sabatino, A., Danese, S., Mori, Y., Naranjo, V. & Ghosh, S., 14 May 2024, In: The Lancet Gastroenterology and Hepatology. 9, 8, p. 758-772 15 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile12 Citations (Scopus)6 Downloads (Pure)