25 Result(s)
within
Conference Paper
**n-Wen Wang
Image Processing and Computer Vision
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Chapter and Conference Paper
An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing
This article aims to build a framework for MRI images of brain tumor segmentation using the deep learning method. For this purpose, we develop a novel 2-Phase UNet-based OMT framework to increase the ratio of ...
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Chapter and Conference Paper
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN
Measuring the existence of coronary artery plaques and stenoses is a standard way of evaluating the risk of cardiovascular diseases. Coronary Computed Tomography Angiography (CCTA) is one of the most common as...
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Chapter and Conference Paper
Predicting Neurostimulation Responsiveness with Dynamic Brain Network Measures
Transcranial direct current stimulation (tDCS) shows great promise in enhancing neurocognitive abilities. However, the neurostimulation responsiveness varied hugely. Our previous work demonstrates that people ...
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Chapter and Conference Paper
Rehabilitate Sustain from Earth to Sea: A Design Study on Interplaying Biosocial Sculpture In-Between the Intertidal Zone
Obey the traditional idea of “Tian-Fu Di-Zai” (The Heaven Overspreads and Earth Sustains All, 天覆地載) in Chinese culture, this monography focuses on “Rise above both Self and Matters” (物我相忘) of Taoist by “Rehabi...
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Chapter and Conference Paper
Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images
Semantic segmentation plays an essential role in brain tumor diagnosis and treatment planning. Yet, manual segmentation is a time-consuming task. That fact leads to hire the Deep Neural Networks to segment bra...
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Chapter and Conference Paper
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnificatio...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack o...
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Chapter and Conference Paper
Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
Crop disease leaf image segmentation is an important and challenging step, because the disease leaf image and corresponding lesions are often complex, various, and variant, and the segmenting results directly ...
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Chapter and Conference Paper
CSAR Moving Target Detection with Logarithm Background Subtraction Based on Optimal Azimuth Aperture Analysis
This paper focuses on moving target detection in single-channel circular-SAR (CSAR). The logarithm background subtraction algorithm described in this paper utilizes the overlapped subaperture logarithm image s...
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Chapter and Conference Paper
Indoor Navigation Based on a Gait Recognition and Counting Scheme
GPS satellite positioning is currently a system used by people for navigation. As urban buildings become larger and their internal usages more diverse, the internal structure of the buildings turns into comple...
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Chapter and Conference Paper
Finger Vein Image Registration Based on Genetic Algorithm
Finger vein recognition technology is an emerging biometric identification technology that utilizes the distribution structure of venous blood vessels to achieve identification. The vein recognition process is...
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Chapter and Conference Paper
Joint Visualization of UKF Tractography Data
Tractography methods provide ways to explore white mater in brain. UKF Tractography is a promising one in processing cross fibers and edema regions. In order to get more insight into UKF tractography, we prese...
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Chapter and Conference Paper
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
The open nature of recommender systems makes them vulnerable to shilling attacks. Biased ratings are introduced in order to affect recommendations, have been shown to cause great harm to collaborative filterin...
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Chapter and Conference Paper
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Personalized recommendation system (PRS) is an effective tool to automatically extract meaningful information from the big data of the users. Collaborative filtering is one of the most widely used personalized...
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Chapter and Conference Paper
Plant Classification Based on Multilinear Independent Component Analysis
Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. In this paper, we present a multilinear indepen...
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Chapter and Conference Paper
Grid-Based Retargeting with Transformation Consistency Smoothing
Effective and Efficient retargeting are critical to improve user browsing experiences in mobile devices. One important issue in previous works lies in their semantic gap in modeling user focuses and intensions...
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Chapter and Conference Paper
Hybrid Self-Organizing Map and Neural Network Clustering Analysis for Technology Professionals Turnover Rate Forecasting
This research applies clustering analysis technology of data mining to predict trend of the Technology Professionals turnover rate, including SOM (Self-Organizing Map) combined with Artificial Neural Network c...
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Chapter and Conference Paper
An Image-Aided Diagnosis System for Dementia Classification Based on Multiple Features and Self-Organizing Map
Mild cognitive impairment (MCI) is considered as a transitional stage between normal aging and dementia. MCI has a high risk to convert into Alzheimer’s disease (AD). In the related research, the volumetric an...
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Chapter and Conference Paper
Mining Sequential Patterns in Large Datasets
A novel algorithm FFSPAN (Fast Frequent Sequential Pattern mining algorithm) is proposed in this paper. FFSPAN mines all the frequent sequential patterns in large datasets, and solves the problem of searching fre...
