Angelica I. Avilés-Rivero
Orcid: 0000-0002-8878-0325
According to our database1,
Angelica I. Avilés-Rivero
authored at least 87 papers
between 2013 and 2024.
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Bibliography
2024
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024
CoRR, 2024
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal.
CoRR, 2024
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.
CoRR, 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling.
CoRR, 2024
2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening.
CoRR, 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Image Process., 2022
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays.
Pattern Recognit., 2022
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations.
Medical Image Anal., 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.
J. Mach. Learn. Res., 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.
CoRR, 2022
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.
CoRR, 2022
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell., 2021
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction.
Medical Image Anal., 2021
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution.
Medical Image Anal., 2021
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction.
Medical Image Anal., 2021
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings.
CoRR, 2021
CoRR, 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations.
CoRR, 2021
2020
IEEE Trans. Image Process., 2020
IEEE Trans. Geosci. Remote. Sens., 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems.
CoRR, 2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020
CoRR, 2020
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification.
CoRR, 2020
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal.
IEEE Trans. Image Process., 2019
CoRR, 2019
CoRR, 2019
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian.
CoRR, 2019
ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic images.
Comput. Medical Imaging Graph., 2019
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
ACM Trans. Appl. Percept., 2018
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
CoRR, 2018
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal.
CoRR, 2018
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
PhD thesis, 2017
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach.
IEEE Trans. Haptics, 2017
Escaping specularity: recovering specular-free video sequences from rank-constrained data.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017
Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
2016
Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach.
CoRR, 2016
Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013