Dr

Pierre Chatelain

Postdoctoral Research Assistant

  • Biography
  • Research
  • Publications

Biography

Dr Pierre Chatelain received the MSc degree in mathematics from Ecole Normale Supérieure de Cachan in 2012 and the Doctoral degree in signal processing from the University of Rennes 1 and the Technical University of Munich in 2016. He is now a Postdoctoral Research Assistant at the Biomedical Image Analysis Group, University of Oxford, and a member of the ERC Advanced Grant—funded project PULSE: Perception Ultrasound by Learning Sonographic Experience.

In his current position, Pierre is developing an information capture system and machine learning methods to analyse multimodal information including ultrasound video, eye tracking and motion tracking.

ORCID ID
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Research Interests

Pierre's research interests include machine learning, computer vision, biomedical image analysis and robotics. His current research focuses on the generation and analysis of multi-sensor data for the description of ultrasound exams. He is interested in devising machine learning methods for information fusion and temporal data analysis.

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Publications

Real-time needle detection and tracking using a visually servoed 3D ultrasound probe, P Chatelain, A Krupa, M Marchal 2013, IEEE International Conference on Robotics and Automation, 1676-1681

3D ultrasound-guided robotic steering of a flexible needle via visual servoing, P Chatelain, A Krupa, N Navab Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2250-2255

Optimization of ultrasound image quality via visual servoing, P Chatelain, A Krupa, N Navab Robotics and Automation (ICRA), 2015 IEEE International Conference on

Scale-adaptive forest training via an efficient feature sampling scheme L Peter, O Pauly, P Chatelain, D Mateus, N Navab International Conference on Medical Image Computing and Computer-Assisted Intervention, p.637-644

Learning from multiple experts with random forests: Application to the segmentation of the midbrain in 3D ultrasound, P Chatelain, O Pauly, L Peter, SA Ahmadi, A Plate, K Bötzel, N Navab, International Conference on Medical Image Computing and Computer-Assisted Intervention, p.230-237

Leveraging random forests for interactive exploration of large histological images, L Peter, D Mateus, P Chatelain, N Schworm, S Stangl, G Multhoff, N. Navab, International Conference on Medical Image Computing and Computer-Assisted Intervention, p.1-8

Confidence-driven control of an ultrasound probe: Target-specific acoustic window optimization, P Chatelain, A Krupa, N Navab, 2016 IEEE International Conference on Robotics and Automation (ICRA), 3441-3446

SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking, Y Cai, H Sharma, P Chatelain, JA Noble, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), p.1475-1478

Confidence-driven control of an ultrasound probe, P Chatelain, A Krupa, N Navab, IEEE Transactions on Robotics 33 (6), 1410-1424

Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps, Y Cai, H Sharma, P Chatelain, JA Noble, International Conference on Medical Image Computing and Computer-Assisted Intervention, p.871-879

Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies, P Chatelain, H Sharma, L Drukker, AT Papageorghiou, JA Noble, IEEE Transactions on Cybernetics, 1-11

Assisting the examination of large histopathological slides with adaptive forests, L Peter, D Mateus, P Chatelain, D Declara, N Schworm, S Stangl, G Multhoff, N Navab, Medical image analysis 35, 655-668

Quality-driven control of a robotized ultrasound probe, P Chatelain, Université de Rennes 1; Technische Universität München