Enveloping CAD models for visualization and interaction in XR applications J Hurtado, A Montenegro, M Gattass, F Carvalho, A Raposo Engineering with Computers 38 (1), 781-799, 2022 | 16 | 2022 |
Adaptive patches for mesh denoising J Hurtado, M Gattass, A Raposo, J Coelho 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 1-8, 2018 | 10 | 2018 |
An interactive experiment combining ultrasound, magnetic resonance imaging, and force feedback technology to physically feel the fetus during pregnancy H Werner, V Arcoverde, G Ribeiro, J Lopes, JJH Jauregui, AB Raposo, ... European Journal of Radiology 110, 128-129, 2019 | 8 | 2019 |
3D point cloud denoising using anisotropic neighborhoods and a novel sharp feature detection algorithm J Hurtado, M Gattass, A Raposo The Visual Computer 39 (11), 5823-5848, 2023 | 6 | 2023 |
A semi-automatic technique for fetus segmentation in 3D ultrasound exams F Motta, J Hurtado, D Radetic, A Raposo Proceedings of the 2019 8th International Conference on Computing and …, 2019 | 6 | 2019 |
A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images SV Silva, CA Sierra-Franco, J Hurtado, LC da Cruz, VA Thomaz, ... International Symposium on Visual Computing, 56-67, 2023 | 2 | 2023 |
A proposal for combining ultrasound, magnetic resonance imaging and force feedback technology, during the pregnancy, to physically feel the fetus J Roberto Lopes dos Santos, H Werner, A Raposo, J Hurtado, ... Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk …, 2018 | 2 | 2018 |
Segmentation of four-chamber view images in fetal ultrasound exams using a novel deep learning model ensemble method J Hurtado, CA Sierra-Franco, T Motta, A Raposo Computers in Biology and Medicine 183, 109188, 2024 | 1 | 2024 |
Towards Automated Semantic Segmentation in Mammography Images CA Sierra-Franco, J Hurtado, VA Thomaz, LC da Cruz, SV Silva, ... arXiv preprint arXiv:2307.10296, 2023 | 1 | 2023 |
Floating hamster ball: A locomotion method for free flight in virtual environments J Hurtado, E Albuquerque, D Radetic, R Cherullo, GFM Silva-Calpa, ... 2018 20th Symposium on Virtual and Augmented Reality (SVR), 183-191, 2018 | 1 | 2018 |
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation LFT Santos, M Gattass, C Rodriguez, J Hurtado, F Miranda, D Michelon, ... Computers & Geosciences 196, 105809, 2025 | | 2025 |
Towards Automated Semantic Segmentation in Mammography Images for Enhanced Clinical Applications CA Sierra-Franco, J Hurtado, V de A Thomaz, LC da Cruz, SV Silva, ... Journal of Imaging Informatics in Medicine, 1-21, 2024 | | 2024 |
A Comparative Study on Calibration of Deep Segmentation Models Over Distribution Shifts in Seismic Interpretation F Andrade, J Hurtado, M Gattass IEEE Geoscience and Remote Sensing Letters, 2024 | | 2024 |
Using Cropped Datasets for training Deep Neural Networks for face recognition FF Quintella, F Ganacim, J Hurtado, A Raposo 2024 31st International Conference on Systems, Signals and Image Processing …, 2024 | | 2024 |
Sharp feature-preserving mesh denoising J Hurtado, M Gattass, A Raposo, C Lopez Multimedia Tools and Applications, 1-26, 2024 | | 2024 |
Towards Automated Semantic Segmentation in Mammography Images. CAS Franco, J Hurtado, V de Almeida Thomaz, LC da Cruz, SV Silva, ... CoRR, 2023 | | 2023 |
A distributed model for computing 3D mesh local descriptors based on k-rings F Suni-Lopez, J Hurtado, A Márquez, L Guzmán Interfases, 38-56, 2022 | | 2022 |
Denoising and simplification in the construction of 3D digital models of complex objects J Hurtado, M Gattass PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO - PUC-RIO, 2022 | | 2022 |
Un modelo distribuido para calcular descriptores locales de malla 3D basados en k-rings FS Lopez, J Hurtado, A Márquez, L Guzmán Interfases, 38-56, 2022 | | 2022 |
DENOISING AND SIMPLIFICATION IN THE CONSTRUCTION OF 3D DIGITAL MODELS OF COMPLEX OBJECTS JANJH JAUREGUI | | 2021 |