Dr Nicola Giannotti
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Dr Nicola Giannotti

BSc (Hons), PhD
Lecturer Discipline of Medical Imaging Science
School of Health Sciences
Faculty of Medicine and Health
University of Sydney
Dr Nicola Giannotti

Dr Nicola Giannotti, PhD is since June 2020 Assistant Professor in Medical Imaging Sciences at the University of Sydney. He received his BSc Radiography in 2012 from the University of Bologna, and his PhD in 2019 from University College Dublin. 2013-2017 he was an academic tutor, PhD candidate (University College Dublin), member of BIOVASC group and diagnostic radiographer (Mater Hospital, Dublin). 2017-2020 he started his academic career as a Faculty lecturer and researcher in cardiovascular imaging. To date, Nicola has delivered a number of conference presentations internationally and contributed to the publication of a number of peer-reviewed journal articles.

Dr N Giannotti has a research interest in non-invasive vascular imaging using computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). In particular, his imaging studies focus on vascular diseases and their relationship with cerebrovascular and cardiovascular events.

Dr N Giannotti is currently primary supervisor of honours students (USyD), and he is supervising in an honorary supervisor capacity a PhD student at UCD. Dr Giannotti is mainly involved in the teaching of Bachelor of Applied Science (Diagnostic Radiography) - Honours and Master of Diagnostic Radiography.

Honours projects (USyD) - primary supervisor

  • MRI mapping of anatomical variations of the knee
  • Should grid-less algorithms be routinely introduced in digital radiography to improve image quality and reduce patient dose

Honours projects (USyD) - co-supervisor

  • Artificial Intelligence in Breast Density measurement in Mammography

PhD (UCD) - honorary supervisor capacity:

  • An investigation study of advanced radiographic practice across European countries.

Finally, Nicola has an active role with the Biomarkers Imaging Vulnerable Atherosclerosis in Symptomatic Carotid disease (BIOVASC) group

  • European Society for Magnetic Resonance in Medicine and Biology
  • European Society of Radiology
  • CORU
  • Irish Institute of Radiography and Radiation Therapy
  • AITRI
  • 2021 - Radiographer Research Presentation Abstract Award Winner,European Conference of Radiology
  • 2020 - National Forum for the Enhancement of Teaching and Learning in Higher Education, Embedding virtual reality (VR) radiography training to enhance the student learning experience
  • 2019 - Shape your Skills, European Conference of Radiology
  • 2018 - Invest in Youth, European Conference of Radiology 2018
  • 2014 - Irish Institute of Radiography and Radiation Therapy, IIRRT Research Funding Programme
Obesity, Diabetes and Cardiovascular Disease, Neurosciences and Mental Health
Project titleResearch student
Can deep ensembled learning assist ultrasound imaging to provide accurate diagnosis of the supraspinatus tendon in remote and rural locations?Lisa MCGUIRE
Advancing MRI Protocol Optimisation and Deep Learning Outcome Prediction Models for Anterior Cruciate Ligament InjuriesKeiley MEAD
Mechanistic, Diagnostic and Therapeutic Insights into Atherosclerosis with Multi-tracer Total-Body Positron Emission TomographyThomas READFORD

Publications

Journals

  • Nadel, J., Tumanov, S., Kong, S., Chen, W., Giannotti, N., Sivasubramaniam, V., Rashid, I., Ugander, M., Jabbour, A., Stocker, R. (2023). Intraplaque Myeloperoxidase Activity as Biomarker of Unstable Atheroma and Adverse Clinical Outcomes in Human Atherosclerosis. JACC: Advances, 2(3), 100310. [More Information]
  • Gorey, S., Fernández-León, A., Foley, S., Harbison, J., O'Connell, M., Williams, D., Marnane, M., Martí-Fabregas, J., Kelly, P., McCabe, J., Giannotti, N., et al (2023). Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis. European Stroke Journal, 8(4), 1064-1070. [More Information]
  • Campana, A., Gandomkar, Z., Giannotti, N., Reed, W. (2023). The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping review. Journal of Medical Radiation Sciences. [More Information]

Conferences

  • Lim, B., Lewis, S., Arhatari, B., Nesterets, Y., Mayo, S., Thomposon, D., Fox, J., Kumar, B., Hausermann, D., Maksimenko, A., Rickard, M., Giannotti, N., Gureyev, T., Brennan, P., Tavakoli Taba, S., et al (2022). Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. Medical Imaging 2022: Physics of Medical Imaging, San Diego: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]

2023

  • Nadel, J., Tumanov, S., Kong, S., Chen, W., Giannotti, N., Sivasubramaniam, V., Rashid, I., Ugander, M., Jabbour, A., Stocker, R. (2023). Intraplaque Myeloperoxidase Activity as Biomarker of Unstable Atheroma and Adverse Clinical Outcomes in Human Atherosclerosis. JACC: Advances, 2(3), 100310. [More Information]
  • Gorey, S., Fernández-León, A., Foley, S., Harbison, J., O'Connell, M., Williams, D., Marnane, M., Martí-Fabregas, J., Kelly, P., McCabe, J., Giannotti, N., et al (2023). Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis. European Stroke Journal, 8(4), 1064-1070. [More Information]
  • Campana, A., Gandomkar, Z., Giannotti, N., Reed, W. (2023). The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping review. Journal of Medical Radiation Sciences. [More Information]

2022

  • Camps-Renom, P., McCabe, J., Martí-Fàbregas, J., Giannotti, N., Fernández-León, A., McNulty, J., Baron, J., Barry, M., Coutts, S., Cronin, S., et al (2022). Association of Plaque Inflammation with Stroke Recurrence in Patients with Unproven Benefit from Carotid Revascularization. Neurology, 99(2), E109-E118. [More Information]
  • Lim, B., Lewis, S., Arhatari, B., Nesterets, Y., Mayo, S., Thomposon, D., Fox, J., Kumar, B., Hausermann, D., Maksimenko, A., Rickard, M., Giannotti, N., Gureyev, T., Brennan, P., Tavakoli Taba, S., et al (2022). Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. Medical Imaging 2022: Physics of Medical Imaging, San Diego: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]
  • Figtree, G., Adamson, P., Antoniades, C., Blumenthal, R., Blaha, M., Budoff, M., Celermajer, D., Chan, M., Chow, C., Dey, D., Giannotti, N., Grieve, S., Patel, S., Vernon, S., et al (2022). Noninvasive Plaque Imaging to Accelerate Coronary Artery Disease Drug Development. Circulation, 146(22), 1712-1727. [More Information]

2021

  • O'Connor, M., Stowe, J., Potocnik, J., Giannotti, N., Murphy, S., Rainford, L. (2021). 3D virtual reality simulation in radiography education: The students' experience. Radiography, 27(1), 208-214. [More Information]
  • Giannotti, N., McNulty, J., Foley, S., McCabe, J., Barry, M., Crowe, M., Dolan, E., Harbison, J., Horgan, G., Kavanagh, E., et al (2021). Association Between 18-FDG Positron Emission Tomography and MRI Biomarkers of Plaque Vulnerability in Patients With Symptomatic Carotid Stenosis. Frontiers in Neurology, 12. [More Information]
  • McCabe, J., Camps-Renom, P., Giannotti, N., McNulty, J., Coveney, S., Murphy, S., Barry, M., Harbison, J., Cronin, S., Williams, D., et al (2021). Carotid plaque inflammation imaged by PET and prediction of recurrent stroke at 5 years. Neurology, 97(23), E2282-E2291. [More Information]

2020

  • Kelly, P., Camps-Renom, P., Giannotti, N., Martí-Fàbregas, J., McNulty, J., Baron, J., Barry, M., Coutts, S., Cronin, S., Delgado-Mederos, R., et al (2020). A risk score including carotid plaque inflammation and stenosis severity improves identification of recurrent stroke. Stroke, 51(3), 838-845. [More Information]
  • McCabe, J., Giannotti, N., McNulty, J., Collins, S., Coveney, S., Murphy, S., Barry, M., Harbison, J., Cronin, S., Williams, D., et al (2020). Cohort profile: BIOVASC-late, a prospective multicentred study of imaging and blood biomarkers of carotid plaque inflammation and risk of late vascular recurrence after non-severe stroke in Ireland. BMJ Open, 10(7), e038607. [More Information]

2019

  • Kelly, P., Camps-Renom, P., Giannotti, N., Martí-Fàbregas, J., Murphy, S., McNulty, J., Barry, M., Barry, P., Calvet, D., Coutts, S., et al (2019). Carotid Plaque Inflammation Imaged by 18F-Fluorodeoxyglucose Positron Emission Tomography and Risk of Early Recurrent Stroke. Stroke, 50(7), 1766-1773. [More Information]

2017

  • Giannotti, N., O’Connell, M., Foley, S., Kelly, P., McNulty, J. (2017). Carotid atherosclerotic plaques standardised uptake values: software challenges and reproducibility. EJNMMI Research, 7, 39. [More Information]

Selected Grants

2021

  • Mechanistic, diagnostic, and therapeutic insights into atherosclerosis using multi-radiotracer Total-Body Positron Emission Tomography, Giannotti N, Cardiovascular Initiative/Catalyst Awards for Seed Funding in Precision Medicine

2020

  • Lecturer in Medical Imaging Sciences - Nicola Giannotti, Giannotti N, Faculty of Medicine and Health/Startup funds support

Abstracts

  • Camps‐Renom P, Kelly P, Giannotti N, Fernandez‐Leon A, Mcnulty J, Baron J‐C, Barry M, Coutts S, Cronin S, Delgado‐Mederos R, (2020)A risk score including plaque inflammation on 18fdg-pet and carotid stenosis predicts early stroke recurrence in traditionally considered low-risk patients with carotid atherosclerosis. World Stroke Congress Abstracts, 2020. International journal of stroke, 2020, 15 (1 SUPPL), 491