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Pierre Chatelain

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound
Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video
Knowledge Representation and Learning of Operator Clinical Workflow from Full-length Routine Fetal Ultrasound Scan Videos
OC10.02: Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound
Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation
Discovering Salient Anatomical Landmarks by Predicting Human Gaze
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans
Captioning Ultrasound Images Automatically
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
Monitoring Sonographer Performance: The Perception Ultrasound by Learning Sonographer Experience (PULSE) study
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking