The International Spinal Cord Society 59th Annual Scientific Meeting 2020, Early Career Scholar Award,A deep convolutional neural network with performance comparable to radiologists for differentiating between spinal schwannoma and meningiomaSatoshi Maki
2019年8月
第8回 JASA(Japan association of Spine Surgeons with Ambitious), Best presenter award,人工知能を用いた脊髄硬膜内髄外腫瘍(神経鞘腫と髄膜腫)の鑑別
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been reported. The purpose of the present study was to evaluate the ability of CNN to diagnose distal radius fractures (DRFs) using frontal and lateral wrist ...
STUDY DESIGN: Retrospective study of magnetic resonance imaging (MRI). OBJECTIVES: To assess the ability of a convolutional neural network (CNN) model to differentiate osteoporotic vertebral fractures (OVFs) and malignant vertebral compression fra...
STUDY DESIGN: A retrospective analysis of prospectively collected data. OBJECTIVE: This study aimed to create a prognostic model for surgical outcomes in patients with cervical ossification of the posterior longitudinal ligament (OPLL) using machi...
Robert L Barry   Benjamin N Conrad   Satoshi Maki   Jennifer M Watchmaker   Lydia J McKeithan   Bailey A Box   Quinn R Weinberg   Seth A Smith   John C Gore   
Magnetic resonance in medicine 85(4) 2016-2026 2021年4月
PURPOSE: To demonstrate the feasibility of 3D multi-shot magnetic resonance imaging acquisitions for stimulus-evoked blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) in the human spinal cord in vivo. METHODS: T...
BACKGROUND: According to most of the commonly used classification systems for subaxial spine injuries, unilateral and minimally displaced facet fractures without any sign of a spinal cord injury would be directed to non-operative management. Howev...