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๐Ÿ” adolescent ๐Ÿ“‚ Engineering
Showing 143 results for "adolescent" in Engineering
Engineering Preprint PDF DOI

Multidimensional Opinion Dynamics with Confirmation Bias: A Multi-Layer Framework

M.Hossein Abedinzadeh, Emrah Akyol ยท 2026

We study multidimensional opinion dynamics under confirmation bias in social networks. Each agent holds a vector of correlated opinions across multiple topic layers. Peer interaction is modeled througโ€ฆ

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Engineering Preprint PDF DOI

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration

Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li ยท 2026

Predicting clinical outcomes from brain networks in large-scale neuroimaging cohorts such as the Adolescent Brain Cognitive Development (ABCD) study requires effectively integrating functional connectโ€ฆ

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Engineering Preprint PDF DOI

Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence

Naveenkumar G Venkataswamy, Masudul H Imtiaz, Stephanie Schuckers ยท 2025

Biometric permanence in pediatric populations remains poorly understood despite widespread deployment of iris recognition for children in national identity programs such as India's Aadhaar and trustedโ€ฆ

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Engineering Preprint PDF DOI

Towards Cross-Task Suicide Risk Detection via Speech LLM

Jialun Li, Weitao Jiang, Ziyun Cui, Yinan Duan, Diyang Qu, Chao Zhang, Runsen Chen, Chang Lei, Wen Wu ยท 2025

Suicide risk among adolescents remains a critical public health concern, and speech provides a non-invasive and scalable approach for its detection. Existing approaches, however, typically focus on onโ€ฆ

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Engineering Preprint PDF DOI

Speaker Anonymisation for Speech-based Suicide Risk Detection

Ziyun Cui, Sike Jia, Yang Lin, Yinan Duan, Diyang Qu, Runsen Chen, Chao Zhang, Chang Lei, Wen Wu ยท 2025

Adolescent suicide is a critical global health issue, and speech provides a cost-effective modality for automatic suicide risk detection. Given the vulnerable population, protecting speaker identity iโ€ฆ

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Engineering Preprint PDF DOI

Resting-state fMRI Analysis using Quantum Time-series Transformer

Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo ยท 2025

Resting-state functional magnetic resonance imaging (fMRI) has emerged as a pivotal tool for revealing intrinsic brain network connectivity and identifying neural biomarkers of neuropsychiatric conditโ€ฆ

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Engineering Preprint PDF DOI

A Graph Neural Network based on a Functional Topology Model: Unveiling the Dynamic Mechanisms of Non-Suicidal Self-Injury in Single-Channel EEG

BG Tong ยท 2025

Objective: This study proposes and preliminarily validates a novel "Functional-Energetic Topology Model" to uncover neurodynamic mechanisms of Non-Suicidal Self-Injury (NSSI), using Graph Neural Netwoโ€ฆ

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Engineering Preprint PDF DOI

Evaluation of 3D Counterfactual Brain MRI Generation

Pengwei Sun, Wei Peng, Lun Yu Li, Yixin Wang, Kilian M. Pohl ยท 2025

Counterfactual generation offers a principled framework for simulating hypothetical changes in medical imaging, with potential applications in understanding disease mechanisms and generating physiologโ€ฆ

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Engineering Preprint PDF DOI

A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images

Yuxin Wei, Yue Zhang, Moxin Zhao, Chang Shi, Jason P.Y. Cheung, Teng Zhang, Nan Meng ยท 2025

Scoliosis is a prevalent condition that impacts both physical health and appearance, with adolescent idiopathic scoliosis (AIS) being the most common form. Currently, the main AIS assessment tool, X-rโ€ฆ

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Engineering Preprint PDF DOI

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling

Tahiya Chowdhury, Veronica Romero ยท 2025

Machine learning-based behavioral models rely on features extracted from audio-visual recordings. The recordings are processed using open-source tools to extract speech features for classification modโ€ฆ

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Engineering Preprint PDF DOI

In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts

Filomene Roquefort, Alexandre Ducorroy, Rachid Riad ยท 2025

Early suicide risk detection in adolescents is critical yet hindered by scalability challenges of current assessments. This paper presents our approach to the first SpeechWellness Challenge (SW1), whiโ€ฆ

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Engineering Preprint PDF DOI

The establishment of static digital humans and the integration with spinal models

Fujiao Ju, Yuxuan Wang, Shuo Wang, Chengyin Wang, Yinbo Chen, Jianfeng Li, Mingjie Dong, Bin Fang, Qianyu Zhuang ยท 2025

Adolescent idiopathic scoliosis (AIS), a prevalent spinal deformity, significantly affects individuals' health and quality of life. Conventional imaging techniques, such as X - rays, computed tomograpโ€ฆ

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Engineering Preprint PDF DOI

Characterisation of exposure to non-ionising electromagnetic fields in the Spanish INMA birth cohort: Study protocol

M. Gallastegi, M. Guxens, A. Jimenez-Zabala, I. Calvente, M. Fernandez, L. Birks, B. Struchen, M. Vrijheid, M. Estarlich, M.F. Fernandez, M. Torrent, F. Ballester, J.J. Aurrekoetxea, J. Ibarluzea, D. Guerra, J. Gonzalez, M. Roosli, L. Santa-Marina ยท 2025

Analysis of the association between exposure to electromagnetic fields of non-ionising radiation (EMF-NIR) and health in children and adolescents is hindered by the limited availability of data, mainlโ€ฆ

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Engineering Preprint PDF DOI

The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents

Wen Wu, Ziyun Cui, Chang Lei, Yinan Duan, Diyang Qu, Ji Wu, Bowen Zhou, Runsen Chen, Chao Zhang ยท 2025

The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a critical public healthโ€ฆ

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Engineering Preprint PDF DOI

Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning

Michael Wehrli, Alicia Durrer, Paul Friedrich, Volodimir Buchakchiyskiy, Marcus Mumme, Edwin Li, Gyozo Lehoczky, Carol C. Hasler, Philippe C. Cattin ยท 2024

Purpose: Trochlear Dysplasia (TD) is a common malformation in adolescents, leading to anterior knee pain and instability. Surgical interventions such as trochleoplasty require precise planning to corrโ€ฆ

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Engineering Preprint PDF DOI

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images

Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Sepideh Hatamikia ยท 2024

Recent advances in machine learning are transforming medical image analysis, particularly in cancer detection and classification. Techniques such as deep learning, especially convolutional neural netwโ€ฆ

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Engineering Preprint PDF DOI

Multimodal growth and development assessment model

Ying Li, Zichen Song, Zijie Gong, Sitan Huang, Jiewei Ge ยท 2024

With the development of social economy and the improvement of people's attention to health, the growth and development of children and adolescents has become an important indicator to measure the leveโ€ฆ

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Engineering Preprint PDF DOI

Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging

Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila Gonzalez, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao ยท 2024

Recent advancements in medicine have confirmed that brain disorders often comprise multiple subtypes of mechanisms, developmental trajectories, or severity levels. Such heterogeneity is often associatโ€ฆ

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Engineering Preprint PDF DOI

Automatic Ultrasound Curve Angle Measurement via Affinity Clustering for Adolescent Idiopathic Scoliosis Evaluation

Yihao Zhou, Timothy Tin-Yan Lee, Kelly Ka-Lee Lai, Chonglin Wu, Hin Ting Lau, De Yang, Chui-Yi Chan, Winnie Chiu-Wing Chu, Jack Chun-Yiu Cheng, Tsz-Ping Lam, Yong-Ping Zheng ยท 2024

The current clinical gold standard for evaluating adolescent idiopathic scoliosis (AIS) is X-ray radiography, using Cobb angle measurement. However, the frequent monitoring of the AIS progression usinโ€ฆ

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Engineering Preprint PDF DOI

Unlearning Spurious Correlations in Chest X-ray Classification

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee ยท 2023

Medical image classification models are frequently trained using training datasets derived from multiple data sources. While leveraging multiple data sources is crucial for achieving model generalizatโ€ฆ

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