9 citations · 12 across the 9 of their papers we have counts for
9 papers
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem
Bruno A. Krinski, Daniel V. Ruiz, Rayson Laroca +1
Due to the COVID-19 global pandemic, computer-assisted diagnoses of medical images have gained much attention, and robust methods of semantic segmentation of Computed Tomography (C…
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt
With the COVID-19 global pandemic, computer-assisted diagnoses of medical images have gained much attention, and robust methods of Semantic Segmentation of Computed Tomography (CT)…
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt
With the COVID-19 global pandemic, computerassisted diagnoses of medical images have gained a lot of attention, and robust methods of Semantic Segmentation of Computed Tomography (…
BEyond observation: an approach for ObjectNav
Daniel V. Ruiz, Eduardo Todt
With the rise of automation, unmanned vehicles became a hot topic both as commercial products and as a scientific research topic. It composes a multi-disciplinary field of robotics…
IDA: Improved Data Augmentation Applied to Salient Object Detection
Daniel V. Ruiz, Bruno A. Krinski, Eduardo Todt
In this paper, we present an Improved Data Augmentation (IDA) technique focused on Salient Object Detection (SOD). Standard data augmentation techniques proposed in the literature,…
For the Thrill of it All: A bridge among Linux, Robot Operating System, Android and Unmanned Aerial Vehicles
Daniel V. Ruiz, Leonardo A. Vidal, Eduardo Todt
Civilian Unmanned Aerial Vehicles (UAVs) are becoming more accessible for domestic use. Currently, UAV manufacturer DJI dominates the market, and their drones have been used for a…