Santiago Lopez Tapia
Orcid: 0000-0003-2090-7446
According to our database1,
Santiago Lopez Tapia
authored at least 33 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
0
5
10
1
7
1
3
1
3
1
5
1
8
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRI.
IEEE Trans. Biomed. Eng., January, 2025
2024
IEEE Trans. Circuits Syst. Video Technol., October, 2024
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning.
CoRR, 2024
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations.
CoRR, 2024
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models.
CoRR, 2024
2023
Digit. Signal Process., October, 2023
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2021
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution.
IEEE Trans. Image Process., 2021
Digit. Signal Process., 2021
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models.
Digit. Signal Process., 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Image Process., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks.
CoRR, 2019
Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution.
Proceedings of the 27th European Signal Processing Conference, 2019
Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the Digital Pathology - 15th European Congress, 2019
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
Using machine learning to detect and localize concealed objects in passive millimeter-wave images.
Eng. Appl. Artif. Intell., 2018
2017
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017
2016
Proceedings of the 24th European Signal Processing Conference, 2016