1335194
Professor Davide Fontanarosa
Faculty of Health,
School of Clinical Sciences
Biography
Davide Fontanarosa was awarded his PhD in Medical Physics from the University of Maastricht (the Netherlands) with a thesis on: “Evaluation of speed of sound aberration and correction for ultrasound guided radiation therapy”.Presently, he works as Professor in the School of Clinical Sciences. Previously he worked as Senior Scientist at Maastro Clinic (Maastricht, the Netherlands) and at Philips Research (Eindhoven, the Netherlands).
His major fields of research are: artificial intelligence for automatic interpretation of ultrasound imaging; image guidance in radiotherapy; minimally invasive surgery and orthopaedics (in particular using quantitative ultrasound imaging); advanced radiotherapy treatment planning and adaptation strategies.
Professor Fontanarosa is currently supervising eighteen PhD students and he is accepting applications from new prospective students; he is the Unit coordinator for the Honours students in five different disciplines cross faculty and he teaches Physics of Ultrasound in the Physics of Medical Imaging Unit. He is the inventor of 11 patents, and authored 140+ peer reviewed publications, one book and 6 book chapters.
Personal details
Positions
- Professor (Medical Radiation Sciences)
Faculty of Health,
School of Clinical Sciences
Keywords
Radiation therapy, Ultrasound, Ultrasound guidance in radiation therapy, Adaptive radiation therapy, Advanced radiation therapy planning, Medical imaging, Medical Physics
Research field
Clinical sciences
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Maastricht University)
Professional memberships and associations
Adjunct Professor, University of Canberra
Publications
- Dunnhofer, M., Antico, M., Sasazawa, F., Takeda, Y., Camps, S., Martinel, N., Micheloni, C., Carneiro, G. & Fontanarosa, D. (2020). Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis, 60, 1–17. https://eprints.qut.edu.au/136008
- Antico, M., Sasazawa, F., Wu, L., Jaiprakash, A., Roberts, J., Crawford, R., Pandey, A. & Fontanarosa, D. (2019). Ultrasound guidance in minimally invasive robotic procedures. Medical Image Analysis, 54, 149–167. https://eprints.qut.edu.au/124616
- Antico, M., Vukovic, D., Camps, S., Sasazawa, F., Takeda, Y., Le, A., Jaiprakash, A., Roberts, J., Crawford, R., Fontanarosa, D. & Carneiro, G. (2020). Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67(12), 2543–2552. https://eprints.qut.edu.au/136491
- Fontanarosa, D., Benitez Mendieta, J., Talkhani, S., Fielding, A., Entezam, A., Trapp, J., Moi, D., Biasi, G., Petasecca, M. & Mazzieri, R. (2020). A novel add-on collimator for preclinical radiotherapy applications using a standard cell irradiator: Design, construction, and validation. Medical Physics, 47(6), 2461–2471. https://eprints.qut.edu.au/198261
- Fontanarosa, D., van der Meer, S., Bamber, J., Harris, E., O'Shea, T. & Verhaegen, F. (2015). Review of ultrasound image guidance in external beam radiotherapy: I. Treatment planning and inter-fraction motion management. Physics in Medicine and Biology, 60(3). https://eprints.qut.edu.au/104142
QUT ePrints
For more publications by Davide, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/d3.fontanarosa
Supervision
Current supervisions
- A wearable ultrasound system to monitor the internal jugular vein in microgravity
PhD, Principal Supervisor
Other supervisors: Professor Zhiyong Li - AI-based automatic haemorrhage detection, segmentation, and tracking in trauma care using wearable ultrasound imaging
PhD, Principal Supervisor
Other supervisors: Associate Professor Chris Edwards - Automated three-dimensional tomographic ultrasound imaging analysis of the rotator cuff
PhD, Principal Supervisor
Other supervisors: Associate Professor Chris Edwards, Dr Maria Antico - Automatic Classification and Segmentation of Lung Pathologies on Lung Ultrasound Using Artificial Intelligence for COVID-19 Induced Respiratory Disease Detection
PhD, Principal Supervisor
Other supervisors: Associate Professor Chris Edwards - Cluster Dose-Based Prediction of Biological Outcomes for Neutron Capture Enhanced Particle Therapy (NCEPT) in Brain Cancer
PhD, Associate Supervisor
Other supervisors: Associate Professor Andrew Fielding - Deep Learning applications in thrombus segmentation
PhD, Principal Supervisor
Other supervisors: Professor Zhiyong Li - Development of Patient Specific Dosimetry Guided Lutetium-177 Peptide Receptor Radionuclide Therapy Administration Protocols
PhD, Principal Supervisor
Other supervisors: Adjunct Associate Professor Jamie Trapp, Professor Chris Drovandi - Diagnostic Reference Levels of Multi-Detector CT scanners in Jordan
PhD, Principal Supervisor
Other supervisors: Adjunct Associate Professor Jamie Trapp, Professor Katie McMahon - Improving accuracy in the use of radiotherapy in superficial disease
PhD, Associate Supervisor
Other supervisors: Distinguished Professor Dietmar W Hutmacher, Adjunct Professor Scott Crowe - Quality assurance for radiotherapy of cranial multi-metastatic tumours
PhD, Associate Supervisor
Other supervisors: Adjunct Associate Professor Jamie Trapp, Associate Professor Andrew Fielding
Completed supervisions (Doctorate)
- Computer Vision Methods for Cortical and Trabecular Bone Microarchitecture Analysis using High-Resolution X-ray microCT: Quantifying Bone Adaptation and Remodelling in Preclinical Animal Models (2026)
- Automatic Diagnostic Aid for Lung Ultrasound Imaging Using Advanced Artificial Intelligence Techniques (2025)
- Exploring the Abscopal Effects of Radiotherapy and Immunotherapy for the Treatment of Metastatic Triple Negative Breast Cancer (2025)
- Portable Nuclear Magnetic Resonance (NMR) for Quantitative Measurement of Biological Tissues (2025)
- Towards Comprehensive, Dynamic Shoulder Mosaicking Using Multiple Distributed 3D Ultrasound Transducers (2025)
- Biomechanical analysis of carotid arteries based on ultrasound and MRI (2024)
- Dosimetric Characterization of a Novel Collimator for Preclinical Radiotherapy Applications (2024)
- Shear Wave Elastography to assess the change in stiffness of muscles in the acute stage post-stroke (2024)
- Ultrasound transducer induced CT artifacts correction in ultrasound-guided proton therapy for cardiac arrhythmia (2024)
- Neuro-Musculosketetal Modelling of the Thoracolumbar Spine - Assessment of Spinal Flexion Motion and the Role of Load-Bearing Structures (2023)
Supervision topics
The supervisions listed above are only a selection.