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cs.CV2025
Interpretable and Granular Video-Based Quantification of Motor Characteristics from the Finger Tapping Test in Parkinson Disease
Tahereh Zarrat Ehsan, Michael Tangermann, Yağmur Güçlütürk +2
Accurately quantifying motor characteristics in Parkinson disease (PD) is crucial for monitoring disease progression and optimizing treatment strategies. The finger-tapping test is…
cs.CV2024★ 4 cited
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses
Tahereh Zarrat Ehsan, Seyed Mehdi Mohtavipour
Detecting anomalies in poultry houses is crucial for maintaining optimal chicken health conditions, minimizing economic losses and bolstering profitability. This paper presents a n…