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Dive into the research topics where Lizeth Gonzalez Carabarin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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TKI-HTSM/21.0218/TKI2112P10 RAISE SPS: Robust AI for SafE (radar) signal processing
Bergmans, J. W. M., Youn, J., Bergmans, J. W. M., Gonzalez Carabarin, L., Karanov, B., Wei, X., Fiorio, L., Chen, C., An, M., Manders, T., Belt, H. J. W. & Lima de Oliveira, M.
1/06/21 → 31/05/28
Project: Research direct
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Faculty Award RvS:Principled deep learning for robust next-gen medical ultrasound imaging
van Sloun, R. J. G., van der Hagen, D., Gonzalez Carabarin, L. & Amirrajab, S.
11/03/20 → 30/06/23
Project: Research direct
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EuroTech: Epilepsy onset prediction based on power -efficient Binary Deep Neural Networks
Bergmans, J. W. M., Gonzalez Carabarin, L. & van der Hagen, D.
1/11/19 → 31/10/21
Project: Research direct
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Deep Unfolding with Normalizing Flow Priors for Inverse Problems
Wei, X., van Gorp, H., Gonzalez Carabarin, L., Freedman, D., Eldar, Y. C. & van Sloun, R. J. G., 3 Jun 2022, In: IEEE Transactions on Signal Processing. 70, p. 2962-2971 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Citations (Scopus)103 Downloads (Pure) -
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities
Gonzalez-Carabarin, L., Huijben, I. A. M., Veeling, B., Schmid, A. & van Sloun, R. J. G., 8 Jun 2022, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. XX, X, 12 p., 9790881.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
Image Denoising with Deep Unfolding And Normalizing Flows
Wei, X., van Gorp, H., Gonzalez Carabarin, L., Freedman, D., Eldar, Y. C. & van Sloun, R. J. G., 27 Apr 2022, ICASSP 2022: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 1551-1555 5 p. 9747748Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile45 Downloads (Pure) -
Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias
Gonzalez-Carabarin, L., Schmid, A. & van Sloun, R. J. G., 23 Dec 2021, 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS). Institute of Electrical and Electronics Engineers, 6 p. 9644976Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)