4 results found

Gustavo Rafael Rodriguez Inga, Leonardo Javier Pariona Chavez, Joel Figueroa Vilcarromero

Current phytopathological diagnostic systems rely on manual inspections or laboratory analyses, which delay early detection and limit in-field responsiveness. Phytopathogenic fungal diseases pose a pe...

Scientific Reports 2026-04-21 rs-8919524
computer vision deep learning agricultural robotics

Shuai Zou, Linus Olofsson, Oualid Burström, Thomas Reichert, Olof Broman, Geir Isak Vestøl, Mohammad Jaber Hossain, Magnus Fredriksson, Johannes A. J. Huber

Reliable segmentation of live and dead knots in X-ray computed tomography images is crucial for automated wood grading and sawing yield optimisation in the timber industry. Segmentation in wet-state X...

Wood Science and Technology 2026-04-21 rs-9134377
Computer vision Deep learning Knot morphology Non-destructive evaluation Norway spruce

Xiangning Sun, Rui Ma, Luyao Li, Yong Teng

Background Lumbar spondylolysis is a prevalent cause of low back pain. Our research group previously proposed the MT classification based on CT pars defect width: Type I (appositional type, defect 

BMC Musculoskeletal Disorders 2026-04-20 rs-9273521
computer vision motion capture gait analysis lumbar spondylolysis

Jane Alty, Gianluca Amprimo, Jung Hwan Shin, Max Wuehr, Michal Novotny, Helga Haberfehlner, Claudia Ferraris, Renjie Li, Marcelo Merello, Marina de Koning-Tijssen, Samuel Relton, David Wong, Johannes Taeger, Andreas Zwergal, Sebastian Walther, Jochen Weishaupt, Karl Georg Häusler, Jan Rusz, Babak Taati, Ryan Roemmich, Martin McKeown, Anoopum S. Gupta, Maximilian U. Friedrich

Background: Neurological motor assessment relies on semi-quantitative, scale-based measures with inherent clinimetric limitations that disproportionately affect clinical trials aimed at early disease ...

Research Square 2026-04-20 rs-9437116
Neurology Digital Biomarkers Computer Vision Movement Analysis Videography
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