VinSpace: Recent submissions
Now showing items 301-320 of 546
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Novel technique for scapulothoracic arthroscopy: A case report of the application of intraoperative 3D imaging
(2021-11-03)Excision of the scapular superomedial corner is assumed to help lower the recurrence rate. However, the amount of resection is still controversial. Furthermore, we lack a technique to measure if the resected amount was ... -
Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination
(2022-08-08)The ability to use digitally recorded and quantified neurological exam information is important to help healthcare systems deliver better care, in-person and via telehealth, as they compensate for a growing shortage of ... -
Multi-stream fusion for class incremental learning in pill image classification
(2022)Classifying pill categories from real-world images is crucial for various smart healthcare applications. Although existing approaches in image classification might achieve a good performance on fixed pill categories, they ... -
Ultra‐broadband and fexible metamaterial absorber based on MoS2 cuboids with Mie resonances
(2023-03-02)In this work, we present a type of flexible and broadband metamaterial absorber operating in the GHz range. The proposed structure consists of three layers: a periodic square-shaped array made of molybdenum disulfide (MoS2) ... -
Understanding Hierarchical Processes
(2022-11-22)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 ... -
Under the regulatory radar: Unregulated rural healthcare in Bangladesh and Australia
(2022-02-04)This study examines health regulation under conditions of geographical constraint in two strikingly different settings, one on a remote island in Bangladesh and the other in an impoverished rural region in Australia. Both ... -
Unified Energy-Based Generative Network for Supervised Image Hashing
(2023)Hashing methods often face critical efficiency challenges, such as generalization with limited labeled data, and robustness issues (such as changes in the data distribution and missing information in the input data) in ... -
Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver
(2022-03-01)Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl4. The ground truth of ... -
Vietnam Tourism: a View from Within
(2022)Vietnam Tourism: Policies and Practices is a unique work offering an emic view of tourism in Vietnam. Thirteen chapters in the book cover a broad range of tourism development issues with reference to the historical, ... -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022)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 ... -
VinDr-Mammo: A large-scale benchmark dataset for computer- aided diagnosis in full-feld digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
Migrant and refugee youth’s sexual and reproductive health and rights: A scoping review to inform policies and programs
(2923-06-05)Objectives: Migrants and refugee youth (MRY) in Western nations are less likely to participate in sexual reproductive health (SRH) services. Consequently, MRY are more likely to encounter adverse SRH experiences due to ... -
Mediating role of educational environment in the relationship between workload and generic skills of nursing students in Vietnam
(2023-07-04)Students’ learning experiences are considered useful indicators to evaluate the effectiveness of teaching in tertiary education. With limited theory-driven research, this study aimed to examine whether the educational ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2023-04-10)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2022-03-20)Building an accurate computer-aided diagnosis system based on data-driven approaches requires a large amount of high-quality labeled data. In medical imaging analysis, multiple expert annotators often produce subjective ... -
Vg9gd T Cell Induction by Human Umbilical Cord Blood Monocytes-Derived, Interferon-a-Stimulated Dendritic Cells
(2020-10-23)Dendritic cells (DC) are professional antigen-presenting cells that activate T cells to kill cancer cells. The extracellular products of DCs have also been reported to perform the same function. In this study, we examined ... -
Knowledge, attitude, and practice of parents on maternal care in a mountainous district of Vietnam: A qualitative study
(2021)Barriers preventing parents from accessing healthcare services affect the effectiveness of maternal care in mountainous areas of Vietnam. Aim: This study aimed to examine the current knowledge, attitudes, and practice ... -
Wong, Pak-Hang, and Tom Xiaowei WANG, eds., Harmonious Technology: A Confucian Ethics of Technology
(2022-07-06)Philosophers are paying increasing attention to the implications of technology. While technologies have always transformed the way we live, the speed of technological change in recent decades has made this more acute than ... -
XPGAN: X-ray projected generative adversarial network for improving COVID-19 image classification
(2021-04-13)This work aims to fight against the current outbreak pandemic by developing a method to classify suspected infected COVID-19 cases. Driven by the urgency, due to the vastly increased number of patients and deaths worldwide, ...
