185 citations
- Rutgers, The State University of New JerseyUS6 papers
- Ames Research CenterUS2 papers
- Bay Area Environmental Research InstituteUS2 papers
- Baylor College of MedicineUS2 papers
- Blue Marble SpaceUS2 papers
- Blue Marble Space Institute of ScienceUS2 papers
- Broad InstituteUS2 papers
- California Institute of TechnologyUS2 papers
- Center for the Advancement of Science in SpaceUS2 papers
- Cornell UniversityUS2 papers
- Georgia Institute of TechnologyUS2 papers
- Glenn Research CenterUS2 papers
6 papers
Integrating Virtual Reality and Large Language Models for Team-Based Non-Technical Skills Training and Evaluation in the Operating Room
Jacob Barker, Doga Demirel, Cullen Jackson +7
Although effective teamwork and communication are critical to surgical safety, structured training for non-technical skills (NTS) remains limited compared with technical simulation…
Deep learning-based estimation of whole-body kinematics from multi-view images
Kien X. Nguyen, Liying Zheng, Ashley L. Hawke +4
It is necessary to analyze the whole-body kinematics (including joint locations and joint angles) to assess risks of fatal and musculoskeletal injuries in occupational tasks. Human…
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Lauren M. Sanders, Jason H. Yang, Ryan T. Scott +53
Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengin…
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders +53
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in d…
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Hui Qu, Pengxiang Wu, Qiaoying Huang +7
Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmentation tasks require significant effort to manually generate accurate pixel-wise a…
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue, Fadi G. Farhat, Olga Boukrina +4
Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke survivors would be a useful aid in patient diagnosis and treatment planning. We prop…