Keshi He

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol

Bryan J. Ranger, Marisa S. Albert, Ji In Kim, Hayoung Cho et autres

BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional status. Existing methods, such as air displacement plethysmography and dual-energy X-ray absorptiometry, are expensive, require specialized facilities, and demand trained personnel. Ultrasound offers …

us, Éthiopie (code pays fourni par la source)

Online Performance Evaluation and Robustness Analysis of Ultrasound Images of the Forearm Used as Human–Machine Interface

Keshi He

cn (code pays fourni par la source)

Deep Learning for Clinical Ultrasound Imaging: From Supervised Approaches to Foundation Models

Keshi He, Bryan J. Ranger

Deep learning models have traditionally been developed and trained to perform specific tasks, which limits their generalizability across different domains. Recently, the field has experienced a paradigm shift toward foundation models, wherein AI systems are pre-trained on extensive datasets to support a …

us (code pays fourni par la source)

Enhancing Newborn Health Assessment: Ultrasound-based Body Composition Prediction Using Deep Learning Techniques

Keshi He, Julia Hohenberg, Yi Li, Anhong Xiao et autres

Objective This study investigates the feasibility of deep learning to predict body composition with ultrasound, specifically fat mass (FM) and fat-free mass (FFM), to improve newborn health assessments. Methods We analyzed 721 ultrasound images of the biceps, quadriceps and abdomen from 65 …

us (code pays fourni par la source)

Ultrasound Imaging and Machine Learning for Nondestructive Sensing in Bioreactors

Mary Serpe, Richard Thyden, Luke R. Perreault, Keshi He et autres

High Resolution Image Download MS PowerPoint Slide The advancement of cell therapy and cellular agriculture underscores the need for noninvasive, cost-effective methods for continuous monitoring of large-scale cell production. Bioreactors, designed to mimic physiological conditions to facilitate cell growth, require reliable quality …

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Improving Ultrasound Image Segmentation in Data-Scarce Scenarios Using Self-Supervised Learning With Phantom Data Pre-Training

Bo Jiang, Keshi He, Hayoung Cho, Michael J. Naughton et autres

Ultrasound image segmentation is often limited by the scarcity of annotated datasets, especially in resource-constrained clinical settings. To address this issue, we employ BT-UNet, a self-supervised learning framework that combines Barlow Twins (BT) with the UNet architecture, and aim to enhance segmentation …

us (code pays fourni par la source)

Continuous Estimation of Joint Angle with Surface Electromyography (sEMG) and Deep Learning

Keshi He

In this paper, we presented a novel attention-based convolutional neural networks (CNN)-long short-term memory (LSTM) models using surface electromyography (sEMG) signal to estimate continuous joint angle of upper limb. 7 subjects were recruited to participate in the experiment. Joint angles were generated …

us (code pays fourni par la source)

A Survey of Vision-Based Tactile Sensors: Hardware, Algorithm, Application, and Future Direction

Keshi He

jp (code pays fourni par la source)

Developing a Deep Learning Approach for Automated Body Composition Prediction in Newborns Using Ultrasound Images

Keshi He, Yi Li, Julia Hohenberg, Emily Nagel et autres

Objective: Measurements of human body composition such as fat mass (FM) and fat-free mass (FFM) are critical for studying malnutrition and the effects of nutritional interventions. This study introduces research toward a novel ultrasound scanning protocol combined with a deep learning analysis …

us (code pays fourni par la source)

Ultrasound-Based Human Machine Interfaces for Hand Gesture Recognition: A Scoping Review and Future Direction

Keshi He

Since ultrasound signal is firstly used to build a human machine interface (HMI) for prosthetic control in 2006, ultrasound-based HMIs have received the great attention in the past 18 years. In this paper, I provide a comprehensive overview of every aspect of …

us (code pays fourni par la source)

Ultrasound for assessing paediatric body composition and nutritional status: Scoping review and future directions

Bryan J. Ranger, Allison R. Lombardi, Susie Kwon, Mary Loeb et autres

AIM: This scoping review aims to assess the utility of ultrasound as a prospective tool in measuring body composition and nutritional status in the paediatric population. We provide a comprehensive summary of the existing literature, identify gaps, and propose future research directions. …

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Online Finger Motion Recognition with Ultrasound Image of the Forearm

Keshi He

In recent years, ultrasound imaging (US imaging) has been gradually used to build a realistic human-machine interface (HMI). However, few studies concern to the real time performance of this type of HMI. In this paper, the primary objective is to systematically evaluate …

us (code pays fourni par la source)