Detection and localization of objects in Passive Millimeter Wave Images. - Santiago Lopez Tapia; Rafael Molina 001; Nicolas Pérez de la Blanca (EUSIPCO, 2016)

Evaluation of Cnn Architectures for Gait Recognition Based on Optical Flow Maps. - Francisco M. Castro; Manuel J. Marín-Jiménez; Nicolás Guil; Santiago Lopez Tapia; Nicolas Pérez de la Blanca (BIOSIG, 2017)

Using machine learning to detect and localize concealed objects in passive millimeter-wave images. - Santiago Lopez Tapia; Rafael Molina 001; Nicolas Pérez de la Blanca (Eng. Appl. Artif. Intell., 2018)

A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images. - Santiago López-Tapia; José Aneiros-Fernández; Nicolás Pérez de la Blanca (ECDP, 2019)

Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features. - Santiago López-Tapia; Cristobal Olivencia; José Aneiros-Fernández; Nicolás Pérez de la Blanca (ECDP, 2019)

Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model. - Santiago Lopez Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution. - Xijun Wang 003; Alice Lucas; Santiago Lopez Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Semantic Prior Based Generative Adversarial Network for Video Super-Resolution. - Xinyi Wu 001; Alice Lucas; Santiago López-Tapia; Xijun Wang 003; Yul Hee Kim; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Spatially Adaptive Losses for Video Super-resolution with GANs. - Xijun Wang 003; Alice Lucas; Santiago Lopez Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2019)

Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2019)

Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems. - Alice Lucas; Santiago López-Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2019)

Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks. - Alice Lucas; Santiago Lopez Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (CoRR, 2019)

Deep CNNs for Object Detection Using Passive Millimeter Sensors. - Santiago López-Tapia; Rafael Molina 001; Nicolás Pérez de la Blanca (IEEE Trans. Circuits Syst. Video Technol., 2019)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. - Alice Lucas; Santiago Lopez Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2019)

Gated Recurrent Networks for Video Super Resolution. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2020)

A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2020)

Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands. - Santiago López-Tapia; Pablo Ruiz 002; Mitchell Smith; Jeffrey Matthews; Bradley Zercher; Liliana Sydorenko; Neelanshi Varia; Yuanzhe Jin; Minzi Wang; Jennifer B. Dunn; Aggelos K. Katsaggelos (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Deep learning approaches to inverse problems in imaging: Past, present and future. - Santiago López-Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2021)

Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution. - Santiago López-Tapia; Nicolás Pérez de la Blanca (IEEE Trans. Image Process., 2021)

Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. - Hui Lin; Santiago Lopez Tapia; Florian Schiffers; Yunan Wu; Huili Yang; Nikolay Iakovlev; Bradley D. Allen; Ryan Avery; Daniel C. Lee 002; Daniel Kim 002; Aggelos K. Katsaggelos (EUSIPCO, 2023)

Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. - Santiago López-Tapia; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2023)

Variational Deep Atmospheric Turbulence Correction for Video. - Santiago López-Tapia; Xijun Wang 003; Aggelos K. Katsaggelos (ICIP, 2023)

Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. - Jiaqi Guo; Emanuel A. Azcona; Santiago Lopez Tapia; Aggelos K. Katsaggelos (MIDL, 2023)

Atmospheric Turbulence Correction via Variational Deep Diffusion. - Xijun Wang 003; Santiago López-Tapia; Aggelos K. Katsaggelos (MIPR, 2023)

Learning Moore-Penrose based residuals for robust non-blind image deconvolution. - Santiago López-Tapia; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2023)

Real-World Atmospheric Turbulence Correction Via Domain Adaptation. - Xijun Wang 003; Santiago López-Tapia; Aggelos K. Katsaggelos (ICIP, 2024)

DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning. - Hui Lin; Florian Schiffers; Santiago López-Tapia; Neda Tavakoli; Daniel Kim 002; Aggelos K. Katsaggelos (FLARE@MICCAI, 2024)

GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation. - Hui Lin; Neda Tavakoli; Florian Schiffers; Santiago López-Tapia; Daniel Kim 002; Aggelos K. Katsaggelos (CARE@MICCAI, 2024)

Video Variational Deep Atmospheric Turbulence Correction. - Santiago López-Tapia; Xijun Wang 003; Aggelos K. Katsaggelos (IEEE Access, 2024)

A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. - Xijun Wang 003; Santiago López-Tapia; Alice Lucas; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (CoRR, 2024)

VDPI: Video Deblurring with Pseudo-inverse Modeling. - Zhihao Huang; Santiago Lopez Tapia; Aggelos K. Katsaggelos (CoRR, 2024)

RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations. - Jiaqi Guo; Santiago López-Tapia; Wing Shun Li; Yunnan Wu; Marcelo Carignano; Vadim Backman; Vinayak P. Dravid; Aggelos K. Katsaggelos (CoRR, 2024)

Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint. - Xinyi Wu 001; Santiago López-Tapia; Xijun Wang 003; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Circuits Syst. Video Technol., 2024)

Spatially-Aware Loss Functions for GAN-Driven Super-Resolution. - Xijun Wang 003; Santiago López-Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Access, 2025)

ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI. - Neda Tavakoli; Amir Ali Rahsepar; Brandon C. Benefield; Daming Shen; Santiago López-Tapia; Florian Schiffers; Jeffrey J. Goldberger; Christine M. Albert; Edwin Wu; Aggelos K. Katsaggelos; Daniel C. Lee 002; Daniel Kim 002 (CoRR, 2025)

Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRI. - Nikolay Iakovlev; Florian Schiffers; Santiago Lopez Tapia; Daming Shen; Kyungpyo Hong; Michael Markl 001; Daniel C. Lee 002; Aggelos K. Katsaggelos; Daniel Kim 002 (IEEE Trans. Biomed. Eng., 2025)

Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion. - Jiaqi Guo; Santiago Lopez Tapia; Aggelos K. Katsaggelos (CoRR, 2025)

Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions. - Jiaqi Guo; Santiago López-Tapia (CoRR, 2025)