Pierre Ambrosini
Deep Learning, Machine Learning, Mixed-Reality, Tracking Systems
Computer Vision, Image Analysis/Segmentation/Registration, Medical Images
Research
Journal Papers
| P. Ambrosini, S. Azizian Amiri, E. Zeestraten, T. van Ginhoven, R. Marroquim and T. van Walsum, "3D magnetic seed localization for augmented reality in surgery", International Journal of Computer Assisted Radiology and Surgery, vol. 19, pp. 723-733, 2024. |  |
| P. Ambrosini, E. Hollemans, C. F. Kweldam, G. J. L. H. van Leenders, S. Stallinga and F. Vos, "Automated Detection of Cribriform Growth Patterns in Prostate Histology Images", Scientific Reports, vol. 10, pp. 14904, 2020. | |
| P. Ambrosini, I. Smal, D. Ruijters, W. J. Niessen, A. Moelker and T. van Walsum, "A Hidden Markov Model for 3D Catheter Tip Tracking With 2D X-ray Catheterization Sequence and 3D Rotational Angiography", IEEE Transactions on Medical Imaging, vol. 36(3), pp. 757-768, 2017. |
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| P. Ambrosini, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum, "Continuous Roadmapping in Liver TACE Procedures Using 2D-3D Catheter-based Registration", International Journal of Computer Assisted Radiology and Surgery, vol. 10, pp. 1357-1370, 2015. |
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Conference Papers
| P. Ambrosini, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum, "Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy", The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lecture Notes in Computer Science, vol. 10434, pp. 577-585, 2017. |
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| H. Ma, P. Ambrosini and T. van Walsum, "Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network", The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lecture Notes in Computer Science, vol. 10434, pp. 453-461, 2017. | |
| P. Ambrosini, I. Smal, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum, "3D Catheter Tip Tracking in 2D X-ray Image Sequences Using a Hidden Markov Model and 3D Rotational Angiography", The 10th MICCAI Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI), Lecture Notes in Computer Science, vol. 9365, pp. 38-49, 2015. | |
| P. Ambrosini, D. Ruijters, A. Moelker, W.J. Niessen and T. van Walsum, "2D/3D Catheter-based Registration for Improved Image Guidance in TACE of Liver Tumors", The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Lecture Notes in Computer Science, vol. 8498, pp. 246-255, 2014. | |
Conference Abstracts
| P. Ambrosini, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum, "Catheter Segmentation in X-ray Fluoroscopy using Convolutional Neural Network", The 31th International Congress on Computer Assisted Radiology and Surgery (CARS), 2017. |
| P. Ambrosini, I. Smal, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum, "3D Catheter Tip Tracking in 2D X-ray Image Sequences Using 3D Rotational Angiography", The 28th Conference of the International Society for Medical Innovation and Technology (SMIT), 2016. | |
| E. Vast, P. Ambrosini and T. van Walsum, "Spatial Calibration of 2D/3D Ultrasound with the PLUS Framework and Electro-magnetic Tracking", 5th Dutch Conference on Bio-Medical Engineering, 2015. |
Thesis Manuscript
| P. Ambrosini, "Improved Image Guidance in TACE Procedures", ISBN 978-94-6323-480-1, 19 February 2019. | |
Supervision
| Master students |
| E. Kerkhof, "Depth based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2", TU Delft, 2022-2023. (supervised only during the beginning) | |
| H.M. Yeh, "Prone-to-Supine Breast Tumor Registration using Landmarks", TU Delft, 2021-2022. | |
| M.A. van der Cammen, "2D Fluoroscopy and 3D Computed Tomography Registration for Minimally Invasive Liver Procedures", TU Delft, 2016-2017. | |
| Bachelor students |
| O. Hussein, "Accuracy of the Hololens 2’s infrared cameras in the context of surgical navigation", TU Delft, 2022. | |
| L. Franschman, "The contribution of grayscale cameras to the accuracy of surgical augmented reality goggles", TU Delft, 2022. | |
| E.X. Tan, "Detecting optical reflective spheres using YOLOv5 and the Hololens' grayscale cameras", TU Delft, 2022. | |
| T. Zonjee, "Developing an automatized tool for E. Coli cell segmentation using deep learning", TU Delft, 2019. |
Teaching
| Python Course, teaching assistant, Erasmus University Medical Center, 2021. |
| Medical Imaging Signals and Systems, oral/assignment examiner, TU Delft, 2019. |
| Image Processing and Medical Imaging, teaching assistant and examiner, TU Delft, 2018 and 2019. |
| Advanced Digital Image Processing, oral/assignment examiner, TU Delft, 2018 and 2019. |
Peer Review
| Journals |
| Medical Image Analysis |
| IEEE Transactions on Medical Imaging |
| Pattern Recognition Letters |
| IEEE Transactions on Biomedical Engineering |
| Medical Physics |
| IEEE Access |
| International Journal of Computer Assisted Radiology and Surgery |
| IEEE Transactions on Medical Robotics and Bionics |
| Conferences |
| International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) |
| Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) |
News
| June 22, 2017 | Interview of Theo van Walsum at the Computer Assisted Radiology and Surgery (CARS) congress about our work on Catheter Segmentation in Fluoroscopy.
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