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Showing 14 results for "cebus" in Engineering · Preprint
Engineering Preprint PDF DOI

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy

Su Yan, Clara Rodrigo Gonzalez, Vincent C. H. Leung, Herman Verinaz-Jadan, Jiakang Chen, Matthieu Toulemonde, Kai Riemer, Jipeng Yan, Clotilde Vie, Qingyuan Tan, Peter D. Weinberg, Pier Luigi Dragotti, Kevin G. Murphy, Meng-Xing Tang · 2026

Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy (ULM), can resolve microvasculature beyond the acoustic diffraction limit. …

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Engineering Preprint PDF DOI

4D-UNet improves clutter rejection in human transcranial contrast enhanced ultrasound

Tristan Beruard, Armand Delbos, Arthur Chavignon, Maxence Reberol, Vincent Hingot · 2026

Transcranial ultrasound imaging is limited by high skull absorption, limiting vascular imaging to only the largest vessels. Traditional clutter filters struggle with low signal-to-noise ratio (SNR) ul…

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Engineering Preprint PDF DOI

Optimizing Multi-User Uplink Cooperative Rate-Splitting Multiple Access: Efficient User Pairing and Resource Allocation

Shreya Khisa, Mohamad Elhattab, Chadi Assi, Sanaa Sharafeddine · 2024

This paper investigates joint user pairing, power and time slot duration allocation in the uplink multiple-input single-output (MISO) multi-user cooperative rate-splitting multiple access (C-RSMA) net…

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Engineering Preprint PDF DOI

Coordinated Half-Duplex/Full-Duplex Cooperative Rate-Splitting Multiple Access in Multi-Cell Networks

Mohamed Elhattab, Shreya Khisa, Chadi Assi, Ali Ghrayeb, Marwa Qaraqe, Georges Kaddoum · 2024

This paper explores downlink Cooperative Rate-Splitting Multiple Access (C-RSMA) in a multi-cell wireless network with the assistance of Joint-Transmission Coordinated Multipoint (JT-CoMP). In this ne…

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Engineering Preprint PDF DOI

Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence

Su Yan, Clotilde Vie, Marcelo Lerendegui, Herman Verinaz-Jadan, Jipeng Yan, Martina Tashkova, James Burn, Bingxue Wang, Gary Frost, Kevin G. Murphy, Meng-Xing Tang · 2024

Super-resolution ultrasound imaging through microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy, allows non-invasive sub-diffraction resolution imaging of micr…

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Engineering Preprint PDF DOI

Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures

Ching-Kai Lin, Di-Chun Wei, Yun-Chien Cheng · 2024

This study presents a computer-aided diagnosis (CAD) system to assist early detection of lung metastases during endobronchial ultrasound (EBUS) procedures, significantly reducing follow-up time and en…

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Engineering Preprint PDF DOI

Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method

Jyun-An Lin, Yun-Chien Cheng, Ching-Kai Lin · 2024

This study aims to establish a computer-aided diagnostic system for lung lesions using endobronchial ultrasound (EBUS) to assist physicians in identifying lesion areas. During EBUS-transbronchial need…

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Engineering Preprint PDF DOI

Inverse Problem Approach to Aberration Correction for in vivo Transcranial Imaging Based on a Sparse Representation of Contrast-enhanced Ultrasound Data

Paul Xing, Antoine Malescot, Eric Martineau, Ravi Rungta, Jean Provost · 2024

Transcranial ultrasound imaging is currently limited by attenuation and aberration induced by the skull. First used in contrast-enhanced ultrasound (CEUS), highly echoic microbubbles allowed for the d…

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Engineering Preprint PDF DOI

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Junyu Li, Han Huang, Dong Ni, Wufeng Xue, Dongmei Zhu, Jun Cheng · 2023

Early diagnosis of renal cancer can greatly improve the survival rate of patients. Contrast-enhanced ultrasound (CEUS) is a cost-effective and non-invasive imaging technique and has become more and mo…

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Engineering Preprint PDF DOI

Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video

Ching-Kai Lin, Chin-Wen Chen, Yun-Chien Cheng · 2023

The purpose of this study is to develop a computer-aided diagnosis system for classifying benign and malignant lung lesions, and to assist physicians in real-time analysis of radial probe endobronchia…

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Engineering Preprint PDF DOI

Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy

Md Ashikuzzaman, Brandon Helfield, Hassan Rivaz · 2022

Ultrasound localization microscopy (ULM) refers to a promising medical imaging modality that systematically leverages the advantages of contrast-enhanced ultrasound (CEUS) to surpass the diffraction b…

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Engineering Preprint PDF DOI

The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions

Ching-Kai Lin, Shao-Hua Wu, Jerry Chang, Yun-Chien Cheng · 2021

The purpose of this study is to differentiate malignant and benign mediastinal lesions by using the three-dimensional convolutional neural network through the endobronchial ultrasound (EBUS) image. Co…

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Engineering Preprint PDF DOI

Extracting Fractional Inspiratory Time from Electrocardiograms

Maria Nyamukuru, Kofi Odame · 2020

Non-invasive at-home monitoring of lung and lung airways health enables the early detection and tracking of respiratory diseases like asthma and chronic obstructive pulmonary disease (COPD). Various p…

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Engineering Preprint PDF DOI

Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound

Scott Schoen Jr, Zhigen Zhao, Ashley Alva, Chengwu Huang, Shigao Chen, Costas Arvanitis · 2020

Generation of super-resolution (SR) ultrasound (US) images, created from the successive local-ization of individual microbubbles in the circulation, has enabled the visualization of microvascular stru…

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