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Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy
(Nature Publishing, 2019-04-10)
Large-scale microscopy approaches are transforming brain imaging, but currently lack efficient multicolor contrast modalities. We introduce chromatic multiphoton serial (ChroMS) microscopy, a method integrating one-shot ...
Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
(Elsevier, 2022-07)
[EN] BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods ...
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning
(Elsevier, 2022-03)
Fishery monitoring programs are essential for effective management of marine resources, as they provide scientists and managers with the necessary data for both the preparation of scientific advice and fisheries control ...
Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution
(Frontiers Media, 2022-02)
[EN] Current methods used to quantify brain size and compartmental scaling relationships in studies of social insect brain evolution involve manual annotations of images from histological samples, confocal microscopy or ...
On-demand serverless video surveillance with optimal deployment of deep neural networks
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] We present an approach to optimally deploy Deep Neural Networks (DNNs) in serverless cloud architectures.
A serverless architecture allows running code in response to events, automatically managing the required
computing ...
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
(MDPI, 2022-01-18)
Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ...
Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms
(MDPI, 2021-12-20)
In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the ...
Egocentric Vision-based Action Recognition: A survey
(Elsevier, 2022-02)
[EN] The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable cameras available nowadays such as GoPro and similars. Therefore, the amount of egocentric ...
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes
(Springer, 2022-04)
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. In recent years, a number of novel deep learning architectures ...
White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope
(MDPI, 2023-11-15)
Deep learning (DL) has made significant advances in computer vision with the advent of vision transformers (ViTs). Unlike convolutional neural networks (CNNs), ViTs use self-attention to extract both local and global ...