Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
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Performing right upper abdominal cytoreduction: anatomical planes, liver mobilization and occult spaces. [PDF]
Ray MD, Rathee A.
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Asymptotic Regularity of a Generalised Stochastic Halpern Scheme. [PDF]
Pischke N, Powell T.
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Beyond FLAIR: PRISM (polarity-preserving real inversion solute mapping)-a new Frontier in real inversion recovery MRI for intracranial and sensory organ fluid assessment. [PDF]
Naganawa S, Ito R, Kato Y, Taoka T.
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Flow of Dilute Aqueous Polymer Solutions in a Heterogeneous Porous Medium: Existence Results for Steady and Unsteady Cases. [PDF]
Baranovskii ES, Artemov MA.
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Sequence-free landscape inference for directed evolution. [PDF]
Towers S, James J, Steel H, Kempf I.
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On manifolds with almost non-negative Ricci curvature and integrally-positive k th -scalar curvature. [PDF]
Cucinotta A, Mondino A.
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