output
20112026
most citedWeakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

185 citations

10 papers

cs.HC2026

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…

cs.CL2024★ 22 cited

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Sudeshna Das, Yao Ge, Yuting Guo +19

The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opi…

cs.CV2023★ 5 cited

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…

q-bio.OT2021★ 4 cited

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…

q-bio.OT2021★ 8 cited

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…

cs.RO2021★ 15 cited

Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning

Yufeng Zhang, Shuai Li, Karen J. Nolan +1

Assist-as-needed (AAN) control aims at promoting therapeutic outcomes in robot-assisted rehabilitation by encouraging patients' active participation. Impedance control is used by m…

cs.CV2020★ 185 cited

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…

cs.CV2019★ 4 cited

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…

astro-ph.HE2012★ 22 cited

An analytic toy model for relativistic accretion in Kerr spacetime

Emilio Tejeda, Paul A. Taylor, John C. Miller

We present a relativistic model for the stationary axisymmetric accretion flow of a rotating cloud of non-interacting particles falling onto a Kerr black hole. Based on a ballistic…

astro-ph.IM2011★ 10 cited

Measuring the Effects of Artificial Viscosity in SPH Simulations of Rotating Fluid Flows

Paul A. Taylor, John C. Miller

A commonly cited drawback of SPH is the introduction of spurious shear viscosity by the artificial viscosity term in situations involving rotation. Existing approaches for quantify…