@article{DBLP:journals/prl/FernandesRGMSPJNL23,

title = {Sticks and STONES may build my bones: Deep learning reconstruction 

 of limb rotations in stick figures},

author = {Francisco Fernandes and Ivo Roupa and Sérgio Barroso Gonçalves and Gonçalo Moita and Miguel Tavares Silva and João Pereira and Joaquim A. Jorge and Richard R. Neptune and Daniel Simões Lopes},

year  = {2023},

date = {2023-01-01},

journal = {Pattern Recognit. Lett.},

volume = {165},

pages = {138--145},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{timoteo_skin_2023,

title = {Skin deformation analysis for pre-operative planning of DIEAP flap reconstruction surgery},

author = {Rafaela Timóteo and David Pinto and Marta Martinho and Pedro Gouveia and Daniel Simões Lopes and Carlos Mavioso and Maria João Cardoso},

url = {https://www.sciencedirect.com/science/article/pii/S1350453323000802},

doi = {https://doi.org/10.1016/j.medengphy.2023.104025},

issn = {1350-4533},

year  = {2023},

date = {2023-01-01},

journal = {Medical Engineering & Physics},

volume = {119},

pages = {104025},

abstract = {Deep inferior epigastric artery perforator (DIEAP) flap reconstruction surgeries can potentially benefit from augmented reality (AR) in the context of surgery planning and outcomes improvement. Although three-dimensional (3D) models help visualize and map the perforators, the anchorage of the models to the patient's body during surgery does not consider eventual skin deformation from the moment of computed tomography angiography (CTA) data acquisition until the position of the patient while in surgery. In this work, we compared the 3D deformation registration from supine arms down (CTA position) to supine with arms at 90° degrees (surgical position), estimating the patient's skin deformation. We processed the data sets of 20 volunteers with a 3D rigid registration tool and performed a descriptive statistical analysis and statistical inference. With 2.45 mm of root mean square and 2.89 mm of standard deviation, results include 30% cases of deformation above 3 mm and 15% above 4 mm. Pose transformation deformation indicates that 3D surface data from the CTA scan position differs from data acquired in loco at the surgical table. Such results indicate that research should be conducted to construct accurate 3D models using CTA data to display on the patient, while considering projection errors when using AR technology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/cmbbeiv/SilvaCSVLL22,

title = {Augmenting the training space of an epidural needle insertion simulator 

 with HoloLens},

author = {Daniel Silva and Cátia Isabel Andrade Botelho Costa and Nuno André Silva and Isabel Ventura and Francisca Pais Leite and Daniel Simões Lopes},

year  = {2022},

date = {2022-01-01},

journal = {Comput. methods Biomech. Biomed. Eng. Imaging Vis.},

volume = {10},

number = {3},

pages = {260--265},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/cmpb/RodriguesEBMZZM22,

title = {Usability, acceptance, and educational usefulness study of a new haptic 

 operative dentistry virtual reality simulator},

author = {Pedro Silva Rodrigues and Artur Esteves and João Botelho and Vanessa Machado and Carlos Zagalo and Ezequiel Roberto Zorzal and José João Mendes and Daniel Simões Lopes},

year  = {2022},

date = {2022-01-01},

journal = {Comput. Methods Programs Biomed.},

volume = {221},

pages = {106831},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/mti/LopesMPKNL22,

title = {A Usability Study on Widget Design for Selecting Boolean Operations},

author = {Diogo Chambel Lopes and Helena Catarina Margarido Mendes and Ricardo Portal and Rui Klerk and Isabel Nogueira and Daniel Simões Lopes},

year  = {2022},

date = {2022-01-01},

journal = {Multimodal Technol. Interact.},

volume = {6},

number = {8},

pages = {70},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/peerj-cs/Jaen-VargasLFGS22,

title = {Effects of sliding window variation in the performance of acceleration-based 

 human activity recognition using deep learning models},

author = {Milagros Jaén-Vargas and Karla Miriam Reyes Leiva and Francisco Fernandes and Sérgio Barroso Gonçalves and Miguel Tavares Silva and Daniel Simões Lopes and José Javier Serrano Olmedo},

year  = {2022},

date = {2022-01-01},

journal = {PeerJ Comput. Sci.},

volume = {8},

pages = {e1052},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/vr/PauloMLJ22,

title = {Controlling camera movement in VR colonography},

author = {Soraia Figueiredo Paulo and Daniel Medeiros and Daniel Simões Lopes and Joaquim A. Jorge},

year  = {2022},

date = {2022-01-01},

journal = {Virtual Real.},

volume = {26},

number = {3},

pages = {1079--1088},

keywords = {},

pubstate = {published},

tppubtype = {article}

}