The College of Engineering and Computer Science: Recent submissions
Now showing items 1-20 of 143
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FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics
(2021-05-13)Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in ... -
Mechanical properties of polyjet 3d-printed composites inspired by space-filling peano curves
(2021-10-02)This paper proposes a design of novel composite materials inspired by the Peano curve and manufactured using PolyJet 3D printing technology with Agilus30 (flexible phase) and VeroMagentaV (rigid phase) materials. Mechanical ... -
Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings
(2022-07-27)Background: The purpose of this paper is to demonstrate a mechanism for deploying and validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu Tho General Hospital, Vietnam. We aim to ... -
Benchmarking saliency methods for chest X-ray interpretation
(2022-10)Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. However, rigorous investigation ... -
Postnatal structural development of mammalian basilar membrane provides anatomical basis for the maturation of tonotopic maps and frequency tuning
(2021)The basilar membrane (BM) of the mammalian cochlea constitutes a spiraling acellular ribbon that is intimately attached to the organ of Corti. Its graded stiffness, increasing from apex to the base of the cochlea, provides ... -
From nature to additive manufacturing: Biomimicry of porcupine quill
(2021-08-13)A porcupine’s quill is an extraordinary natural armor capable of withstanding high compression load. By unraveling the unique properties of the porcupine quill design, the bioinspired structures can be applied in engineering ... -
Adoption of IP truncation in a privacy-based decision tree pruning design: A case study in network intrusion detection system
(2022-03-04)A decision tree is a transparent model where the rules are visible and can represent the logic of classification. However, this structure might allow attackers to infer confidential information if the rules carry some ... -
An accurate and explainable deep learning system improves interobserver agreement in the interpretation of chest radiograph
(2022-10-04)Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical ... -
Retina-based quality assessment of tile-coded 360-degree videos
(2022-06-21)Nowadays, omnidirectional content, which delivers 360-degree views of scenes, is a significant aspect of Virtual Reality systems. While 360 video requires a lot of bandwidth, users only see visible tiles, therefore a large ... -
An effective foveated 360° image assessment based on graph convolution network
(2022-09-06)Virtual reality (VR) has been adopted in various fields such as entertainment, education, healthcare, and the military, due to its ability to provide an immersive experience to users. However, 360° images, one of the main ... -
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
(2022-11)The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that ... -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022-12)Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and ... -
Understanding Hierarchical Processes
(2022-12)Hierarchical stochastic processes, such as the hierarchical Dirichlet process, hold an important position as a modelling tool in statistical machine learning, and are even used in deep neural networks. They allow, for ... -
Semi-supervised machine learning of optical in-situ monitoring data for anomaly detection in laser powder bed fusion
(2023)Laser powder bed fusion (L-PBF) is one of the most widely used metal additive manufacturing technology for fabrication of functional and structural components. However, inconsistency in quality and reliability of L-PBF ... -
Concurrent multiscale topology optimisation towards design and additive manufacturing of bio-mimicking porous structures
(2023)This paper presents a novel multiscale explicit topology optimisation approach for concurrently optimizing the structure at the macro level and the bio-mimicking porous infillings at the micro level. Solid bar components ... -
Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures
(2023)Introduction: The early diagnosis and classification of social anxiety disorder (SAD) are crucial clinical support tasks for medical practitioners in designing patient treatment programs to better supervise the progression ... -
Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops
(2023)We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way ... -
Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures (Frontiers in Psychiatry, (2023), 14, (1155812), 10.3389/fpsyt.2023.1155812)
(2023)In the published article, there was an error in the Funding statement. The correct Funding and Acknowledgment statements appear below. -
A smart, textile-driven, soft exosuit for spinal assistance
(2023-10-09)Work-related musculoskeletal disorders (WMSDs) are often caused by repetitive lifting, making them a significant concern in occupational health. Although wearable assist devices have become the norm for mitigating the risk ... -
Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison
(2023)Early detection of liver malignancy based on medical image analysis plays a crucial role in patient prognosis and personalized treatment. This task, however, is challenging due to several factors, including medical data ...
