Jan Hurtado

19 papers C 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting adaptive patches for mesh denoising.
Eng. Comput.
Jan Hurtado, Alberto Raposo, Marcelo Gattass
2025 — conf
A Novel Method for Detecting 3D Steel Structures in As-Built Point Clouds.
SIBGRAPI
Rogério Pinheiro de Souza, Jan Hurtado, César A. Sierra Franco, Romeu Oliveira, Alberto Raposo
2025 J jnl
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation.
Comput. Geosci.
Luiz Fernando Santos, Marcelo Gattass, Carlos Rodriguez, Jan Hurtado, Frederico Miranda, Diogo Michelon, Roberto Ribeiro
2025 J jnl
Improving the generalization of deep learning models in the segmentation of mammography images.
CoRR
Jan Hurtado, João P. Maia, César A. Sierra Franco, Alberto Barbosa Raposo
2025 J jnl
Improving the generalization of deep learning models in the segmentation of mammography images.
Signal Image Video Process.
Jan Hurtado, João P. Maia, César A. Sierra Franco, Alberto Raposo
2025 J jnl
Towards Automated Semantic Segmentation in Mammography Images for Enhanced Clinical Applications.
J. Imaging Inform. Medicine
César A. Sierra Franco, Jan Hurtado, Victor de Almeida Thomaz, Leonardo Cardia da Cruz, Santiago V. Silva, Greis Francy M. Silva-Calpa, Alberto Raposo
2024 J jnl
A Comparative Study on Calibration of Deep Segmentation Models Over Distribution Shifts in Seismic Interpretation.
IEEE Geosci. Remote. Sens. Lett.
Felipe Andrade, Jan Hurtado, Marcelo Gattass
2024 J jnl
Segmentation of four-chamber view images in fetal ultrasound exams using a novel deep learning model ensemble method.
Comput. Biol. Medicine
Jan Hurtado, César A. Sierra Franco, Thiago Motta, Alberto Raposo
2024 J jnl
Sharp feature-preserving mesh denoising.
Multim. Tools Appl.
Jan Hurtado, Marcelo Gattass, Alberto Raposo, Cristian Lopez
2024 — conf
Using Cropped Datasets for training Deep Neural Networks for face recognition.
IWSSIP
Felipe Ferreira Quintella, Francisco Ganacim, Jan Hurtado, Alberto Raposo
2023 J jnl
3D point cloud denoising using anisotropic neighborhoods and a novel sharp feature detection algorithm.
Vis. Comput.
Jan Hurtado, Marcelo Gattass, Alberto Barbosa Raposo
2023 — conf
A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images.
ISVC (1)
Santiago V. Silva, César A. Sierra Franco, Jan Hurtado, Leonardo Cardia da Cruz, Victor de Almeida Thomaz, Greis Francy M. Silva-Calpa, Alberto Barbosa Raposo
2023 J jnl
Towards Automated Semantic Segmentation in Mammography Images.
CoRR
César A. Sierra Franco, Jan Hurtado, Victor de Almeida Thomaz, Leonardo Cardia da Cruz, Santiago V. Silva, Alberto Barbosa Raposo
2022 J jnl
Enveloping CAD models for visualization and interaction in XR applications.
Eng. Comput.
Jan Hurtado, Anselmo Antunes Montenegro, Marcelo Gattass, Felipe Gomes de Carvalho, Alberto Raposo
2019 — conf
A Semi-automatic Technique for Fetus Segmentation in 3D Ultrasound Exams.
ICCPR
Francisco Motta, Jan Hurtado, Daniel Radetic, Alberto Raposo
2018 — conf
A Proposal for Combining Ultrasound, Magnetic Resonance Imaging and Force Feedback Technology, During the Pregnancy, to Physically Feel the Fetus.
HCI (17)
Jorge Roberto Lopes dos Santos, Heron Werner, Alberto Raposo, Jan Hurtado, Vinicius Arcoverde, Gerson Ribeiro
2018 — conf
Adaptive Patches for Mesh Denoising.
SIBGRAPI
Jan Hurtado, Marcelo Gattass, Alberto Raposo, Jéferson Coêlho
2018 — conf
Floating Hamster Ball: A Locomotion Method for Free Flight in Virtual Environments.
SVR
Jan Hurtado, Eduardo de Albuquerque, Daniel Radetic, Renato Cherullo, Greis Francy M. Silva-Calpa, Alberto Raposo
2015 C conf
3D mesh interest point detection using GISIFs and heat diffusion.
CLEI
Jan Hurtado, Madeley Coaquira, Cristian Jose Lopez Del Alamo