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Showing 359 results for "female" in Engineering · Preprint
Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

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Engineering Preprint PDF DOI

Heart Artifact Removal in Electrohysterography Measurements Using Algebraic Differentiators

Amine Othmane, Maria Camila Bustos Vivas, Johannes Steuer, Jana Hutter · 2026

Electrohysterography (EHG) enables non-invasive monitoring of uterine contractions but can be contaminated by electrocardiogram (ECG) artifacts. This work presents an ECG removal method using algebrai…

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Engineering Preprint PDF DOI

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis

Fangyijie Wang, Guenole Silvestre, Kathleen M. Curran · 2026

Congenital heart disease (CHD) screening from fetal echocardiography requires accurate analysis of multiple standard cardiac views, yet developing reliable artificial intelligence models remains chall…

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Engineering Preprint PDF DOI

The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs

Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki, James Caverlee, Ondrej Klejch, Peter Bell, Gustav Eje Henter, Eva Szekely · 2026

Speech Large Language Models (SpeechLLMs) process spoken input directly, retaining cues such as accent and perceived gender that were previously removed in cascaded pipelines. This introduces speaker …

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Engineering Preprint PDF DOI

MOS-Bias: From Hidden Gender Bias to Gender-Aware Speech Quality Assessment

Wenze Ren, Yi-Cheng Lin, Wen-Chin Huang, Erica Cooper, Ryandhimas E. Zezario, Hsin-Min Wang, Hung-yi Lee, Yu Tsao · 2026

The Mean Opinion Score (MOS) serves as the standard metric for speech quality assessment, yet biases in human annotations remain underexplored. We conduct the first systematic analysis of gender bias …

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Engineering Preprint PDF DOI

Bias and Fairness in Self-Supervised Acoustic Representations for Cognitive Impairment Detection

Kashaf Gulzar, Korbinian Riedhammer, Elmar Noth, Andreas K. Maier, Paula Andrea Perez-Toro · 2026

Speech-based detection of cognitive impairment (CI) offers a promising non-invasive approach for early diagnosis, yet performance disparities across demographic and clinical subgroups remain underexpl…

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Engineering Preprint PDF DOI

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

Yingyu Yang, Qianye Yang, Can Peng, Elena D'Alberti, Olga Patey, Aris T. Papageorghiou, J.Alison Noble · 2026

Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregnancy management, optimized delivery planning, and timely postnatal interventions. Among standard ima…

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Engineering Preprint PDF DOI

Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound

Fangyijie Wang, Siteng Ma, Guenole Silvestre, Kathleen M. Curran · 2026

Fetal ultrasound (US) data is often limited due to privacy and regulatory restrictions, posing challenges for training deep learning (DL) models. While semi-supervised learning (SSL) is commonly used …

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Engineering Preprint PDF DOI

A Dynamic Parametric Simulator for Fetal Heart Sounds

Yingtong Zhou, Yiang Zhou, Zhengxian Qu, Kang Liu, Ting Tan · 2026

Research on fetal phonocardiogram (fPCG) is challenged by the limited number of abdominal recordings, substantial maternal interference, and marked transmissioninduced signal attenuation that complica…

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Engineering Preprint PDF DOI

GuideTouch: An Obstacle Avoidance Device with Tactile Feedback for Visually Impaired

Timofei Kozlov, Artem Trandofilov, Georgii Gazaryan, Issatay Tokmurziyev, Miguel Altamirano Cabrera, Dzmitry Tsetserukou · 2026

Safe navigation for the visually impaired individuals remains a critical challenge, especially concerning head-level obstacles, which traditional mobility aids often fail to detect. We introduce Guide…

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Engineering Preprint PDF DOI

USFetal: Tools for Fetal Brain Ultrasound Compounding

Mohammad Khateri, Morteza Ghahremani, Sergio Valencia, Camilo Jaimes, Alejandra Sierra, Jussi Tohka, P. Ellen Grant, Davood Karimi · 2026

Ultrasound offers a safe, cost-effective, and widely accessible technology for fetal brain imaging, making it especially suitable for routine clinical use. However, it suffers from view-dependent arti…

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Engineering Preprint PDF DOI

Uncertainty-Calibrated Explainable AI for Fetal Ultrasound Plane Classification

Olaf Yunus Laitinen Imanov · 2026

Fetal ultrasound standard-plane classification underpins reliable prenatal biometry and anomaly screening, yet real-world deployment is limited by domain shift, image noise, and poor calibration of pr…

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Engineering Preprint PDF DOI

Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning

Youssef Megahed, Aylin Erman, Robin Ducharme, Mark C. Walker, Steven Hawken, Adrian D. C. Chan · 2025

Congenital heart disease remains the most common congenital anomaly and a leading cause of neonatal morbidity and mortality. Although first-trimester fetal echocardiography offers an opportunity for e…

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Engineering Preprint PDF DOI

The Wigner-Ville Transform as an Information Theoretic Tool in Radio-frequency Signal Analysis

Erik Lentz, Emily Ellwein, Bill Kay, Audun Myers, Cameron Mackenzie · 2025

This paper presents novel interpretations to the field of classical signal processing of the Wigner-Ville transform as an information measurement tool. The transform's utility in detecting and localiz…

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Engineering Preprint PDF DOI

A Sequential Hermaphrodite Coupling Mechanism for Lattice-based Modular Robots

Keigo Torii, Kentaro Uno, Shreya Santra, Kazuya Yoshida · 2025

Lattice-based modular robot systems are envisioned for large-scale construction in extreme environments, such as space. Coupling mechanisms for heterogeneous structural modules should meet all of the …

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Engineering Preprint PDF DOI

Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI

Beyza Zayim, Aissiou Ikram, Boukhiar Naima · 2025

Breast cancer remains the most common cancer among women and is a leading cause of female mortality. Dynamic contrast-enhanced MRI (DCE-MRI) is a powerful imaging tool for evaluating breast tumors, ye…

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Engineering Preprint PDF DOI

Fetpype: An Open-Source Pipeline for Reproducible Fetal Brain MRI Analysis

Thomas Sanchez, Gerard Marti-Juan, David Meunier, Miguel Angel Gonzalez Ballester, Oscar Camara, Elisenda Eixarch, Gemma Piella, Meritxell Bach Cuadra, Guillaume Auzias · 2025

Fetal brain magnetic resonance imaging (MRI) is crucial for assessing neurodevelopment in utero. However, fetal MRI analysis remains technically challenging due to fetal motion, low signal-to-noise ra…

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Engineering Preprint PDF DOI

Comparison of Speech Tasks in Human Expert and Machine Detection of Parkinson's Disease

Peter Plantinga, Roozbeh Sattari, Karine Marcotte, Carla Di Gironimo, Madeleine Sharp, Liziane Bouvier, Maiya Geddes, Ingrid Verduyckt, Etienne de Villers-Sidani, Mirco Ravanelli, Denise Klein · 2025

The speech of people with Parkinson's Disease (PD) has been shown to hold important clues about the presence and progression of the disease. We investigate the factors based on which humans experts ma…

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Engineering Preprint PDF DOI

Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies

Lyes Saad Saoud, Irfan Hussain · 2025

Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studying avian behavior in…

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Engineering Preprint PDF DOI

Real-time nonlinear inversion of magnetic resonance elastography with operator learning

Juampablo E. Heras Rivera, Caitlin M. Neher, Mehmet Kurt · 2025

$\textbf{Purpose:}$ To develop and evaluate an operator learning framework for nonlinear inversion (NLI) of brain magnetic resonance elastography (MRE) data, which enables real-time inversion of elast…

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