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HomeAcademic staffMr Enrico Grisan
Mr Enrico Grisan

Mr Enrico Grisan

grisane@lsbu.ac.uk

Computer Science and Informatics

https://orcid.org/0000-0002-7365-5652

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I am Senior Lecturer 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 research years.

After graduating there in 2000, I then In 2005 I earned the PhD in Bioengineering jointly from University of Padova and City University London. After being intern in Siemens Corporate Research in 2005, and then post-doc fellow in Padova, I have been appointed Assistant Professor in Bioengineering since 2008.

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.

Courses taught

Data Science - MSc

Applied Artificial Intelligence - MSc

Postgraduate Research Supervision
Current
Mr Ngonidzashe Neal MunyebvuAccelerating nanomaterial development with flow chemistry, automation, and algorithmsPhD
Mr Bisi Bode KolawoleMultimodal gastroenterology imaging for IBD assessment and personalised medicinePhD
Mrs Valentina VadoriAI and medical image processing for comparative neuroanatomyPhD
Mr Hossam Hassan Sultan AbdelreheemUltrasound Imaging of Human Bone with High ResolutionPhD
Zaydullin RifkatPhD
Diego PerazzoloPhD
PhD in Bioengineering

University of Padova and City University London

2002
2005
MSc in Electrical Engineering

University of Padova

1994
2000
Senior Member

IEEE

2019
Lecturer in Biomedical Engineering
University of Padova

2008
2022
Education
FunderYear wonProjectRole
Department for Health and Social Care (DHSC)2021AI Award TSET Round Two_UltromicsCo-Investigator
GlaxoSmithKline2022GSK Studentship - 2021Principal Investigator
General Electric Healthcare2021General Electric - Stats and Machine Learning Services in Support of Predictive Diagnosis ProjectsPrincipal Investigator
Leverhulme Trust2021Evolution's edge: How sutures shaped the diversification of the mammal skullPrincipal Investigator
General Electric Healthcare2021General Electric Paper Preparation Principal Investigator
NHS England2021HSC_AI Lab Award Evaluation_NHSXCo-Investigator
General Electric Healthcare2020Conference Paper SupportPrincipal Investigator
ProposalProjectRoleFunderStatusStatus last updated
Eli Lilly ProjectEli Lilly ProjectPrincipal InvestigatorEli LillyOPEN In preparationOct 2022
General Electric - Stats and Machine Learning Services in Support of Predictive Diagnosis ProjectsGeneral Electric - Stats and Machine Learning Services in Support of Predictive Diagnosis ProjectsPrincipal InvestigatorGeneral Electric HealthcareOPEN Approved for submissionJul 2021
IEEE
2019

Associate editor
2016
Frontiers in Mechanical Engineering

Other
Review Editor
2021
Minerva Psichiatrica

Associate editor
2021
2022 IEEE International Conference of the Engineering in Medicine and Biology Society - EMBC 2022

Associate editor
2022
2022
IEEE Transactions on Information Technology in Biomedicine
Medical Image Analysis
Annals of Biomedical Engineering
Computers in Biology and Medicine
Medical and Biological Engineering and Physics
Medical Engineering & Physics
Pattern Recognition Letters
IEEE Conference on Computer Vision and Pattern Recognition
IEEE-EMBS International Conferences on Biomedical and Health Informatics
IEEE International Symposium on Medical Imaging (ISBI)
Proc. SPIE Medical Imaging
MICCAI
King's College London
Visiting researcher

Medical Image Analysis

Medical ultrasound imaging

March 2017
University of Warwick
Honorary research fellow

Machine learning

Deep learning

Medical imaging

December 2018
December 2021
Prizes, awards, and accolades

Best Presentation Award (Oct 2018)

European Society of Urogenital Radiology

T. Favaron, D. Huang, R. Eckersley, E. Grisan: ‘“Computer says no”: initial experience with automated qualitative analysis of enhancement components on contrast-enhanced ultrasound for differentiating focal testicular lesions’, 2nd ESUR teaching course


ECCO Highlights (Jul 2021)

European Crohn's and Colitis Organisation

M. Iacucci, L. Jeffery, A. Acharjee, O.M. Nardone, S.C. Smith, N. Labarile, D. Zardo, R. Cannatelli, U.N. Shivaji, B. Ungar, A. Buda, E. Grisan, G. Gkoutos, G. Subrata:’ Response to biologics in IBD patients assessed by Computerized image analysis of Probe Based Confocal Laser Endomicroscopy with molecular labeling and gene expression profiling’


Plenary Oral Presentation (Feb 2022)

European Crohn's and Colitis Organisation

Marietta Iacucci, Rosanna Cannatelli, Tommaso Lorenzo Parigi, Andrea Buda, Nunzia La Barile, Olga Maria Nardone, Gian Eugenio Tontini, Alessandro Rimondi, Alina Bazarova, Pradeep Bhandari, Raf Bisschops, Gert De Hertogh, Rocio del Amor, Jose G Ferraz, Martin Goetz, Xianyong Gui, Bu Hayee, Ralf Kiesslich, Mark Lazarev, Valery Naranjo, Remo Panaccione, Adolfo Parra-Blanco, Luca Pastorelli, Timo Rath, Elin S Røyset, Michael Vieth, Vincenzo Villanacci, Davide Zardo, Subrata Ghosh, Enrico Grisan:

‘The first Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic healing in Ulcerative Colitis’


Reach and Impact

Apr 2015

IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing


Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study
Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V. and Ghosh, S. Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study. Inflammatory Bowel Diseases. 2022 (izac233), pp. 1-12. https://doi.org/0.1093/ibd/izac233

A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis
Iacucci, M, Cannatelli, R, Parigi,T.L., Nardone, O.M., Tontini, G.E., Labarile, N, Buda, A., Rimondi, A., Bazarova, A., Bisschops, R., del Amor, R., Meseguer, P., Naranjo, V., PICaSSO Group, Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis. Endoscopy. https://doi.org/10.1055/a-1960-3645

Accelerating colloidal quantum dot innovation with algorithms and automation
Howes, P., Munyebvu, N., Lane, E. and Grisan, E. (2022). Accelerating colloidal quantum dot innovation with algorithms and automation. Materials Advances. https://doi.org/10.1039/d2ma00468b

A Deep Graph Cut Model for 3D Brain Tumor Segmentation
De, A., Tiwari, M., Grisan, E. and Chowdhury, A.S. (2022). A Deep Graph Cut Model for 3D Brain Tumor Segmentation. 44th International Engineering in Medicine and Biology Conference (EMBC 2022). Glasgow (UK) 11 - 15 Jul 2022 IEEE.

Constrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images
del Amor, R., Meseguera, P., Parigi, T.L., Villanacci, V., Colomer, A., Launet, L., Bazarova, A., Tontini, G.E., Bisschops, R., de Hertogh, G., Ferraz, J.G., Götz, M., Gui, Xi., Hayeem, B., Lazarev, M., Panaccione, R., Parra-Blanco, A., Bhandari, P., Pastorelli, L., Rath, T., Synnøve Røyset, E., Vieth, M., Zardo, D., Grisan, E., Ghosh, S., Iacucci, M. and Naranjo, V. (2022). Constrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images. Computer methods and programs in biomedicine. 224, p. 107012. https://doi.org/10.1016/j.cmpb.2022.107012

A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis
Iacucci M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O. M., Tontini, G. E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., Del Amor, R., Ferraz, J. G., Goetz, M., Gui, S. X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E. S., Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis. Digestive Disease Week - DDW 2022. San Diego (CA) 21 - 24 May 2022

A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis
Iacucci, M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O.M., Tontini, G.E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., del Amor, R., Ferraz, J.G, Goetz, M., Gui, X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E.S, Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis. ESGE Days 2022. 28 Apr 2022 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0042-1744593

Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression.
Tavazzi, E., Daberdaku, S., Zandonà, A., Vasta, R., Nefussy, B., Lunetta, C., Mora, G., Mandrioli, J., Grisan, E., Tarlarini, C., Calvo, A., Moglia, C., Drory, V., Gotkine, M., Chiò, A., Di Camillo, B. and Piemonte, Valle d’Aosta Register for ALS (PARALS), for the Emilia Romagna Registry for ALS (ERRALS) (2022). Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression. Journal of neurology. https://doi.org/10.1007/s00415-022-11022-0

PICaSSO Histologic Remission Index (PHRI) in Ulcerative Colitis – Development of a Novel Simplified Histological Score for Monitoring Mucosal Healing and Predicting Clinical Outcomes and its Applicability in an Artificial Intelligence System
Gui, X., Bazarova, A., del Amor, R., Vieth, M., de Hertogh, G., Villanacci, V., Zardo, D., Parigi, T. L., Røyset, E., Shivaji, U., Monica, M. A.T., Mandelli, G., Bhandari, P., Danese, S., Ferraz, J., Hayee, B., Lazarev, M., Parra-Blanco, A., Pastorelli, L., Panaccione, R., Rath, T., Tontini, G.E., Ralf, H., Bisschops, R., Grisan, E., Naranjo, V., Ghosh, S. and Iacucci, M. (2022). PICaSSO Histologic Remission Index (PHRI) in Ulcerative Colitis – Development of a Novel Simplified Histological Score for Monitoring Mucosal Healing and Predicting Clinical Outcomes and its Applicability in an Artificial Intelligence System. Gut. https://doi.org/10.1136/gutjnl-2021-326376

An Adaptive Registration Algorithm for Zebrafish Larval Brain Images
Deb, S, Tiso, N, Grisan, E. and Chowdhury, A.S. (2022). An Adaptive Registration Algorithm for Zebrafish Larval Brain Images. Computer methods and programs in biomedicine. 216, p. 106658. https://doi.org/10.1016/j.cmpb.2022.106658

OP16 The first virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic remission in Ulcerative Colitis
Iacucci, M, Cannatelli, R, Parigi, TL, Buda, A, Labarile, N, Nardone, OM, Tontini, GE, Rimondi, A, Bazarova, A, Bhandari, P, Bisschops, R, De Hertogh, G, Del Amor, R, Ferraz, JG, Goetz, M, Gui, X, Hayee, B, Kiesslich, R, Lazarev, M, Naranjo, V, Panaccione, R, Parra-Blanco, A, Pastorelli, L, Rath, T, Røyset, ES, Vieth, M, Villanacci, V, Zardo, D, Ghosh, S and Grisan, E. (2022). OP16 The first virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic remission in Ulcerative Colitis. 17th Congress of ECCO - European Crohn’s and Colitis Organisation. 16 - 19 Feb 2022 Oxford University Press (OUP). https://doi.org/10.1093/ecco-jcc/jjab232.015

OP15 A new simplified histology artificial intelligence system for accurate assessment of remission in Ulcerative Colitis
Villanacci, V, Parigi, TL, Del Amor, R, Mesguer Esbrì, P, Gui, X, Bazarova, A, Bhandari, P, Bisschops, R, Danese, S, De Hertogh, G, G Ferraz, JG, Götz, M, Grisan, E., Hayee, B, Kiesslich, R, Lazarev, M, Mandelli, G, Monica, MAT, Panaccione, R, Parra-Blanco, A, Pastorelli, L, Rath, T, Røyset, ES, Shivaji, U, Tontini, GE, Vieth, M, Zardo, D, Ghosh, S, Naranjo, V and Iacucci, M (2022). OP15 A new simplified histology artificial intelligence system for accurate assessment of remission in Ulcerative Colitis. 17th Congress of ECCO - European Crohn’s and Colitis Organisation. 16 - 19 Feb 2022 Oxford University Press. https://doi.org/10.1093/ecco-jcc/jjab232.014

The primary visual cortex of Cetartiodactyls: organization, cytoarchitectonics and comparison with perissodactyls and primates.
Graïc, J., Peruffo, A., Corain, L., Finos, L., Grisan, E. and Cozzi, B. (2021). The primary visual cortex of Cetartiodactyls: organization, cytoarchitectonics and comparison with perissodactyls and primates. Brain structure & function. 227, p. 1195–1225. https://doi.org/10.1007/s00429-021-02392-8

Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging
Grisan, E., Harput, S., Raffeiner, B., Fiocco, U. and Stramare, R. (2021). Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging. IEEE International Symposium on Biomedical Imaging - IEEE ISBI. Nice 13 - 16 Apr 2021 Institute of Electrical and Electronics Engineers (IEEE).

Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling
Iacucci, M, Grisan, E, Labarile, N, Nardone, OM, Smith, SCL, Jeffery, L, Cannatelli, R, Ghosh, S and Buda, A (2021). Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling. ESGE Days 2021. Virtual 25 - 27 Mar 2021 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0041-1724759

Deep learning for the prediction of treatment response in depression
Squarcina, L., Villa, F.M., Nobile, M., Grisan, E. and Brambilla, P. (2021). Deep learning for the prediction of treatment response in depression. Journal of Affective Disorders. 281, pp. 618-622. https://doi.org/10.1016/j.jad.2020.11.104

Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets
Grecchi, E., Grisan, E., Buckley, C. and Wolber, J. (2020). Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets. Wiley. https://doi.org/10.1002/alz.040990

Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing
Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460

Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains.
Corain, L., Grisan, E., Graïc, J., Carvajal-Schiaffino, R., Cozzi, B. and Peruffo, A. (2020). Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains. Brain structure & function. https://doi.org/10.1007/s00429-020-02147-x

The claustrum of the sheep and its connections to the visual cortex
Pirone, A., Graïc, J., Grisan, E. and Cozzi, B. (2020). The claustrum of the sheep and its connections to the visual cortex. Journal of Anatomy. 238 (1), pp. 1-12. https://doi.org/10.1111/joa.13302

An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model
Perazzi, A, Gomiero, C, Corain, Livio, Iacopetti, Ilaria, Grisan, Enrico, Lombardo, Marco, Lombardo, Giuseppe, Salvalaio, Gianni, Contin, Roberta, Patruno, Marco, Martinello, Tiziana and Peruffo, Antonella (2020). An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model. Animals. 10, pp. 1-16. https://doi.org/10.3390/ani10040730

Preface to: EndoCV2020Computer Vision in Endoscopy
Ali, S, Daul, C, Rittscher, J, Stoyanov, D and Grisan, E (2020). Preface to: EndoCV2020Computer Vision in Endoscopy. CEUR Workshop Proceedings. 2595.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., Zhang, P., Li, X., Kayser, M., Soberanis-Mukul, R., Albarqouni, S., Wang, X., Wang, C., Watanabe, S., Oksuz, I., Ning, Q., Yang, S., Khan, M.A., Gao, X., Realdon, S., Loshchenov, M., Schnabel, J., East, J., Wagnieres, G., Loschenov, V., Grisan, E., Daul, C., Blondel, W. and Rittscher, J. (2020). An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports. 10, p. 2748. https://doi.org/10.1038/s41598-020-59413-5

Real-time diameter of the fetal aorta from ultrasound
Savioli, Nicolò, Grisan, Enrico, Visentin, Silvia, Cosmi, Erich, Montana, Giovanni and Lamata, Pablo (2019). Real-time diameter of the fetal aorta from ultrasound. Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04646-3

Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves
Stanziola, A., Toulemonde, M., Papadopoulou, V., Corbett, R., Duncan, N., Grisan, E. and Tang, M-X. (2019). Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).

Super resolution ultrasound image filtering with machine learning to reduce the localization error
Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. (2019). Super resolution ultrasound image filtering with machine learning to reduce the localization error. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).

Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions
Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2019.8759528

The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts
Peruffo, A., Corain, L., Bombardi, C., Centelleghe, C., Grisan, E., Graïc, J-M, Bontempi, P., Grandis, A. and Cozzi, B. (2019). The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts. Brain Structure and Function. 224 (5), pp. 1933-1946. https://doi.org/10.1007/s00429-019-01885-x

An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography
Rafailidis, V., Chryssogonidis, I., Xerras, C., Grisan, E., Cheimariotis, G-A., Tegos, T., Rafailidis, P.S., Sidhu, P.S. and Charitanti-Kouridou, A. (2019). An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography. American Journal of Neuroradiology. 40 (6), pp. 1022-1028. https://doi.org/10.3174/ajnr.A6056

Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification?
Rafailidis, V., Chryssogonidis, I., Grisan, E., Xerras, C., Cheimariotis, G-A., Tegos, T., Rafailidis, D., Sidhu, P. and Charitanti-Kouridou, A. (2019). Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification? Journal of Ultrasound in Medicine. 38 (12), pp. 3163-3171. https://doi.org/10.1002/jum.15017

Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients
Grisan, E., Zandon`a, A. and Di Camillo, B. (2019). Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2019 i6doc.

In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy
Ghatwary, N, Ahmed, A, Grisan, E, Jalab, H, Bidaut, L and Ye, X (2019). In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy. J Med Imaging (Bellingham). 6 (1). https://doi.org/https://www.doi.org/10.1117/1.JMI.6.1.014502

Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Savioli, N., Visentin, S., Cosmi, E., Grisan, E., Lamata, P. and Montana, G. (2018). Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece 04 - 07 Oct 2018 Springer. https://doi.org/10.1007/978-3-030-01421-6_15

Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E. and Rossi, M. (2019). Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal. IEEE Journal of Biomedical and Health Informatics. 23 (2). https://doi.org/10.1109/JBHI.2018.2823763

Growth abnormalities of fetuses and infants
Cosmi, E, Grisan, E, Fanos, V, Rizzo, G, Sivanandam, S and Visentin, S (2017). Growth abnormalities of fetuses and infants. BioMed Research International. 2017. https://doi.org/https://www.doi.org/10.1155/2017/3191308

Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration
Facchinello, N, Tarifeño-Saldivia, E, Grisan, E, Schiavone, M, Peron, M, Mongera, A, Ek, O, Schmitner, N, Meyer, D, Peers, B, Tiso, N and Argenton, F (2017). Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration. Scientific Reports. 7. https://doi.org/10.1038/s41598-017-09867-x

From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis
Grisan, E, Rizzo, G, Tonietto, M, Coran, A, Raffeiner, B, Scanu, A, Martini, V, Stramare, R and Fiocco, U (2017). From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 17 - 21 Apr 2017 IEEE. pp. 899-902 https://doi.org/10.1109/ISBI.2017.7950661

Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 https://doi.org/10.1109/ISBI.2017.7950637

Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α
Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325. https://doi.org/10.1093/rheumatology/kex084

Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Hooshmand, M, Zordan, D, Del Testa, D, Grisan, E and Rossi, M (2017). Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. IEEE Internet of Things Journal. 4, pp. 1647-1662. https://doi.org/10.1109/JIOT.2017.2689164

Improving the quantification of contrast enhanced ultrasound using a Bayesian approach
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. https://doi.org/10.1117/12.2250195

Boosted learned kernels for data-driven vesselness measure
Grisan, E (2017). Boosted learned kernels for data-driven vesselness measure. Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Z (2017). Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250370

Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250818

Superpixel-based classification of gastric chromoendoscopy images
Boschetto, D and Grisan, E (2017). Superpixel-based classification of gastric chromoendoscopy images. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2254187

A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness
Visentin, S, Londero, AP, Camerin, M, Grisan, E and Cosmi, E (2017). A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness. Medicine (United States). 96. https://doi.org/https://www.doi.org/10.1097/MD.0000000000005515

Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints
Fiocco, U, Stramare, R, Martini, V, Coran, A, Caso, F, Costa, L, Felicetti, M, Rizzo, G, Tonietto, M, Scanu, A, Oliviero, F, Raffeiner, B, Vezzù, M, Lunardi, F, Scarpa, R, Sacerdoti, D, Rubaltelli, L, Punzi, L, Doria, A and Grisan, E (2017). Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints. Clinical Rheumatology. 36 (2), pp. 391-399. https://doi.org/10.1007/s10067-016-3500-x

Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component. IEEE Transactions on Medical Imaging. 36, pp. 1027-1036. https://doi.org/10.1109/TMI.2016.2637698

Superpixel-based automatic segmentation of villi in confocal endomicroscopy
Boschetto, D, Mirzaei, H, Leong, RWL and Grisan, E (2016). Superpixel-based automatic segmentation of villi in confocal endomicroscopy. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Las Vegas, NV, USA 24 - 27 Feb 2016 pp. 168-171 https://doi.org/10.1109/BHI.2016.7455861

Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy
Boschetto, D, Di Claudio, G, Mirzaei, H, Leong, R and Grisan, E (2016). Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 SPIE. https://doi.org/10.1117/12.2217183

Automatic classification of endoscopic images for premalignant conditions of the esophagus
Boschetto, D, Gambaretto, G and Grisan, E (2016). Automatic classification of endoscopic images for premalignant conditions of the esophagus. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 https://doi.org/10.1117/12.2216826

Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis
Cerrolaza, J.J., Grisan, E., Safdar, N., Myers, E., Jago, J., Peters, C.A. and Linguraru, M.G. (2015). Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis. IEEE. https://doi.org/10.1109/embc.2015.7318324