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20132026
most citedDeep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

288 citations · 346 across the 24 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 4 cited

1D-Convolutional transformer for Parkinson disease diagnosis from gait

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

This paper presents an efficient deep neural network model for diagnosing Parkinson's disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer architecture t…

cs.CV2023★ 6 cited

Automatic counting of planting microsites via local visual detection and global count estimation

Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

In forest industry, mechanical site preparation by mounding is widely used prior to planting operations. One of the main problems when planning planting operations is the difficult…

cs.CV2023

Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images

Safwen Naimi, Olfa Koubaa, Wassim Bouachir +5

Lichens are symbiotic organisms composed of fungi, algae, and/or cyanobacteria that thrive in a variety of environments. They play important roles in carbon and nitrogen cycling, a…

cs.CV2023

HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

In this paper, we propose a novel deep learning method based on a new Hybrid ConvNet-Transformer architecture to detect and stage Parkinson's disease (PD) from gait data. We adopt…

cs.CV2023

VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette

Noreen Anwar, Philippe Duplessis-Guindon, Guillaume-Alexandre Bilodeau +1

This paper presents a novel approach for visible-thermal infrared stereoscopy, focusing on the estimation of disparities of human silhouettes. Visible-thermal infrared stereo poses…