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๐Ÿ” cebus ๐Ÿ“‚ Engineering
Showing 14 results for "cebus" in Engineering
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 ยท 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. โ€ฆ

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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 ยท 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) ulโ€ฆ

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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 ยท 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) netโ€ฆ

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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 ยท 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 neโ€ฆ

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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 ยท 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 micrโ€ฆ

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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 ยท 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 enโ€ฆ

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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 ยท 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 needโ€ฆ

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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 ยท 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 dโ€ฆ

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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 ยท 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 moโ€ฆ

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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 ยท 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 endobronchiaโ€ฆ

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Engineering Preprint PDF DOI

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

Md Ashikuzzaman, Brandon Helfield, Hassan Rivaz ยท 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 bโ€ฆ

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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 ยท 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. Coโ€ฆ

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Engineering Preprint PDF DOI

Extracting Fractional Inspiratory Time from Electrocardiograms

Maria Nyamukuru, Kofi Odame ยท 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 pโ€ฆ

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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 ยท 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 struโ€ฆ

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