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Agnieszka Barbara Szczotka
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2020 – today
- 2021
- [j4]Agnieszka Barbara Szczotka
, Dzhoshkun Ismail Shakir
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy. IEEE Trans. Medical Imaging 40(7): 1863-1874 (2021) - [i4]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy. CoRR abs/2103.14015 (2021) - 2020
- [j3]Agnieszka Barbara Szczotka
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1167-1175 (2020)
2010 – 2019
- 2019
- [j2]Daniele Ravì
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. Medical Image Anal. 53: 123-131 (2019) - [i3]Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. CoRR abs/1901.06988 (2019) - [i2]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches. CoRR abs/1911.13169 (2019) - 2018
- [j1]Daniele Ravì
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. Int. J. Comput. Assist. Radiol. Surg. 13(6): 917-924 (2018) - [i1]Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren:
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. CoRR abs/1803.08840 (2018)
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