Agenda
Signal Processing Seminar
- Thursday, 20 June 2019
- 14:15-15:00
- HB 17.150
Deep learning in ultrasound imaging
Ruud van SlounTU Eindhoven
This talk will elaborate on deep learning strategies in ultrasound systems, from the front-end to advanced applications, thereby discussing the possible impact of deep learning methodologies on many aspects of ultrasound imaging. In particular, it will outline methods that lie at the interface of signal acquisition and machine learning, exploiting both data structure (e.g. sparsity in some domain) and data dimensionality (big data) already at the raw radio-frequency channel stage. Several illustrative examples will be given, covering efficient and effective deep learning solutions for adaptive beamforming and adaptive spectral Doppler through artificial agents, learning of compressive encodings for color Doppler, and a framework for structured signal recovery by learning fast approximations of iterative minimization problems, with applications to clutter suppression and super-resolution ultrasound. These emerging technologies may have a considerable impact on ultrasound imaging, showing promise across key components in the receive processing chain.
Additional information ...Agenda
- Tue, 30 Apr 2024
- 10:00
- HB18.090
MSc SPS Thesis presentation
Wim Kok
A SystemC SNN model for power trace generation
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
- Tue, 21 May 2024
- 10:00
- Aula Senaatszaal
PhD Thesis Defence
Wangyang Yu
- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
- Mon, 24 Jun 2024
- Aula, TU Delft