| Camera-based assessment of arterial stiffness and wave reflection parameters from neck micro-motion AV Moco, LZ Mondragon, W Wang, S Stuijk, G De Haan Physiological measurement 38 (8), 1576, 2017 | 22 | 2017 |
| Image noise reduction based on a fixed wavelet frame and CNNs applied to CT LA Zavala-Mondragón, PHN de With, F van der Sommen IEEE Transactions on Image Processing 30, 9386-9401, 2021 | 17 | 2021 |
| CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications LA Zavala-Mondragon, B Lamichhane, L Zhang, G Haan Journal of Ambient Intelligence and Humanized Computing 11 (6), 2369-2380, 2020 | 17 | 2020 |
| Noise reduction in CT using learned wavelet-frame shrinkage networks LA Zavala-Mondragon, P Rongen, JO Bescos, PHN de With, ... IEEE Transactions on Medical Imaging 41 (8), 2048-2066, 2022 | 16 | 2022 |
| Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content KC Kusters, LA Zavala-Mondragón, JO Bescós, P Rongen, PHN de With, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| Dual-energy CBCT pre-spectral-decomposition filtering with wavelet shrinkage networks LA Zavala-Mondragon, D Ruijters, P van de Haar, PHN de With, ... 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 3 | 2020 |
| A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs LA Zavala-Mondragón, PHN de With, F van der Sommen IEEE Signal Processing Magazine 40 (7), 38-63, 2023 | 2 | 2023 |
| On the performance of learned and fixed-framelet shrinkage networks for low-dose CT denoising LA Zavala-Mondragón, F van der Sommen Med. Imag. Deep Learn., 2022 | 2 | 2022 |
| Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging LA Zavala-Mondragon, KJ Engel, B Menser, D Ruijters, ... Medical Imaging 2021: Image Processing 11596, 661-670, 2021 | 1 | 2021 |
| Fitting signal processing into CNNs with applications to CT denoising LAZ Mondragon | | 2023 |
| A signal processing interpretation of noise-reduction convolutional neural networks LA Zavala-Mondragón, PHN de With, F van der Sommen arXiv preprint arXiv:2307.13425, 2023 | | 2023 |
| Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections LA Zavala-Mondragon, F van der Sommen, D Ruijters, KJ Engel, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 867-871, 2020 | | 2020 |
| A Deep Learning Method to Estimate Conventional Dose Computed Tomography Scans from Reduced Dose Acquisitions: Effect on Emphysema Quantification LA Zavala Mondragón, SM Humphries, L Gallardo Estrella, ... D18. BEST OF NOVEL TECHNOLOGIES AND METHODOLOGIES, A5888-A5888, 2019 | | 2019 |
| Segmentation CNNs are denoising models LA Zavala-Mondragón, R Van Sloun, PHN de With, F van der Sommen ICML 2024 Workshop on Mechanistic Interpretability, 0 | | |
Fons van der SommenAssociate Professor, Eindhoven University of Technology在 tue.nl 的电子邮件经过验证
