EchoApex: A General-Purpose Vision Foundation Model for Echocardiography
ArXiv pre-print 2024
Abdoul Aziz Amadou
I am passionate about applying AI to improve people's lives.
I currently design AI models for various medical imaging tasks, ranging from tracking, segmentation to autonomous navigation.
My interests are reinforcement learning and self-supervised learning algorithms.
In my free-time, I participate in DE&I projects such as Success For Black Students, where the aim is to support students from black and under-represented minorities succeed in engineering and physics.
Experience
- (2018 - Now) Research Scientist
Siemens Healthineers
Education
- (2021 - 2025) PhD in AI and Medical Imaging
King's College London - (2013 - 2018) Masters in Computer Science
EPITA
Other
Selected publications
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Cardiac ultrasound simulation for autonomous ultrasound navigation
Frontiers in Cardiovascular Medicine 2024
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Contrastive Reinforcement Learning for ultrasound navigation guidance
Early accepted at MICCAI 2024
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A bottom-up approach for real-time mitral valve annulus modeling on 3d echo images
MICCAI 2020
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Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks
MICCAI MLMI, 2020
Patents
- Y. Zhang, A. A. Amadou, I. Voigt, V. Mihalef, R. Liao, T. Mansi, M. John, B. Rao, H. C. Houle "Annular structure representation", 2021
- A. A. Amadou, R. Liao, Y. Zhang, "Semi-supervised tracking in medical images with cycle tracking", 2023
- R. Liao, Y-H Kim, J. Collins, A. A. Amadou, S. Piat, A. Kapoor, T. Mansi, E-L Noha, S. Grbic, D. Comaniciu, X. S. Zheng, B. Liu, X. Zhoubing, J-H Park "Smart image navigation for intracardiac echocardiography", 2023
- R. Liao, V. N. Murthy, Y. Zhang, A. A. Amadou "Method and System for Vascular Catheter Tip Detection in Medical Images", 2024