Guilherme Aresta
Orcid: 0000-0002-4225-2156
According to our database1,
Guilherme Aresta
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks.
IEEE J. Biomed. Health Informatics, April, 2024
IEEE Trans. Medical Imaging, January, 2024
RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification.
CoRR, 2024
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access, 2024
2023
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics, 2023
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
2022
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging.
J. Imaging, 2022
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening.
CoRR, 2022
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
Medical Image Anal., 2021
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization.
CoRR, 2021
2020
Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance.
IEEE J. Biomed. Health Informatics, 2020
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images.
Medical Image Anal., 2020
Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images.
IEEE Access, 2020
Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans.
Expert Syst. Appl., 2019
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance.
CoRR, 2019
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019
2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network.
CoRR, 2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the International Conference on Graphics and Interaction, 2018
2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
2015
Optical Flow Based Approach for Automatic Cardiac Cycle Estimation in Ultrasound Images of the Carotid.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015