Thomas Sanchez (2022)

Research Interests

  •  Deep Learning
  • Medical Imaging
  • Inverse problems, Compressed Sensing

 

Biography

I received my Master in Computational Science and Engineering in 2018. My master thesis, supervised by Prof. Volkan Cevher, was about Learning-based compressed sensing for dynamic MRI. Later that year, I started my PhD at LIONS which I finished in 2022. The thesis, entitled “Learning to sample in Cartesian MRI” was supervised by Prof. Volkan Cevher.

Publications (most recent)

Learning to sample in Cartesian MRI

T. Sanchez / V. Cevher (Dir.)  

Lausanne, EPFL, 2022. 

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A Plug-and-Play Deep Image Prior

Z. Sun; F. Latorre; T. Sanchez; V. Cevher 

2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.

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Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI

T. Sanchez; B. Gözcü; R. Van Heeswijk; A. Eftekhari; E. Ilıcak et al. 

2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.

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Rethinking Sampling in Parallel MRI: A Data-Driven Approach

B. Gözcü; T. Sanchez; V. Cevher 

2019. 27th European Signal Processing Conference (EUSIPCO), Coruña, Spain, September 2-6, 2019. DOI : 10.23919/EUSIPCO.2019.8903150.

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