20 citations · 26 across the 5 of their papers we have counts for
7 papers
RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension
Abel Corrêa Dias, Viviane Pereira Moreira, João Luiz Dihl Comba
Objective: Scientific publications play a crucial role in uncovering insights, testing novel drugs, and shaping healthcare policies. Accessing the quality of publications requires…
COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography
Noemi Maritza L. Romero, Ricco Vasconcellos, Mariana R. Mendoza +1
The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT…
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
Azael M. Sousa, Fabiano Reis, Rachel Zerbini +2
Early detection of COVID-19 is vital to control its spread. Deep learning methods have been presented to detect suggestive signs of COVID-19 from chest CT images. However, due to t…
Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques
E. F. Vernier, R. Garcia, I. P. da Silva +2
Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time-dependent multivariate datasets. Th…
Quantitative Comparison of Time-Dependent Treemaps
Eduardo Vernier, Max Sondag, Joao Comba +3
Rectangular treemaps are often the method of choice to visualize large hierarchical datasets. Nowadays such datasets are available over time, hence there is a need for (a) treemaps…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…