Quantifying behavior to understand the brain

TD Pereira, JW Shaevitz, M Murthy - Nature neuroscience, 2020 - nature.com
Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

[HTML][HTML] Pathology image analysis using segmentation deep learning algorithms

S Wang, DM Yang, R Rong, X Zhan, G Xiao - The American journal of …, 2019 - Elsevier
With the rapid development of image scanning techniques and visualization software, whole
slide imaging (WSI) is becoming a routine diagnostic method. Accelerating clinical diagnosis …

OpenCap: Human movement dynamics from smartphone videos

SD Uhlrich, A Falisse, Ł Kidziński… - PLoS computational …, 2023 - journals.plos.org
Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

JC Caicedo, A Goodman, KW Karhohs, BA Cimini… - Nature …, 2019 - nature.com
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative
analysis of imaging data for biological and biomedical applications. Many bioimage analysis …

Fast animal pose estimation using deep neural networks

TD Pereira, DE Aldarondo, L Willmore, M Kislin… - Nature …, 2019 - nature.com
The need for automated and efficient systems for tracking full animal pose has increased
with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP …

Two-dimensional video-based analysis of human gait using pose estimation

J Stenum, C Rossi, RT Roemmich - PLoS computational biology, 2021 - journals.plos.org
Human gait analysis is often conducted in clinical and basic research, but many common
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …

Applications of pose estimation in human health and performance across the lifespan

J Stenum, KM Cherry-Allen, CO Pyles, RD Reetzke… - Sensors, 2021 - mdpi.com
The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …

Evaluation of deep learning strategies for nucleus segmentation in fluorescence images

JC Caicedo, J Roth, A Goodman, T Becker… - Cytometry Part …, 2019 - Wiley Online Library
Identifying nuclei is often a critical first step in analyzing microscopy images of cells and
classical image processing algorithms are most commonly used for this task. Recent …

Edge-computing video analytics for real-time traffic monitoring in a smart city

J Barthélemy, N Verstaevel, H Forehead, P Perez - Sensors, 2019 - mdpi.com
The increasing development of urban centers brings serious challenges for traffic
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …

Applying faster R-CNN for object detection on malaria images

J Hung, A Carpenter - … of the IEEE conference on computer …, 2017 - openaccess.thecvf.com
Deep learning based models have had great success in object detection, but the state of the
art models have not yet been widely applied to biological image data. We apply for the first …