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Chapter and Conference Paper
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration
In order to tackle the difficulty associated with the ill-posed nature of the image registration problem, regularization is often used to constrain the solution space. For most learning-based registration appr...
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Chapter and Conference Paper
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
Automated surface segmentation of retinal layer is important and challenging in analyzing optical coherence tomography (OCT). Recently, many deep learning based methods have been developed for this task and yi...
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Chapter and Conference Paper
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
Manually segmenting the hepatic vessels from Computer Tomography (CT) is far more expertise-demanding and laborious than other structures due to the low-contrast and complex morphology of vessels, resulting in...
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Chapter and Conference Paper
Topology Optimization of Structures Using Higher Order Finite Elements in Analysis
optimization in general progresses with numerical instability i.e. checkerboard patterns if no filtering radius is used i.e. imposement of minimum length scale. Many studies are done in past decades...
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Chapter
Virtual Pink Dolphins and Lagoon
Children including those with like to play with . as one type of is already introduced to help . However, DST is fairly costly. Given a large number of children with ASD interested in DST, it is diffic...
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Chapter
Bibliometric Analysis and Visualization for Sustainable Tourism Products
The concept of Sustainable Tourism Products (STP) derives from the discussion of sustainable tourism. This paper takes Journal of Sustainable Tourism as an analyzed example and tries to provide a comprehensive...
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Chapter and Conference Paper
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversible blindness among Asian people. Early detection of PACG is essential, so as to provide timely treatment and minimize the vision loss. In...
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Chapter and Conference Paper
Deep Image Clustering with Category-Style Representation
Deep clustering which adopts deep neural networks to obtain optimal representations for clustering has been widely studied recently. In this paper, we propose a novel deep image clustering framework to learn a...
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Chapter and Conference Paper
Dynamic Testing for RFID Based on Photoelectric Sensing in Internet of Vehicles
With the development of application scale of radio frequency identification (RFID) technology in Internet of vehicles (IOV), the scenarios of multi-reader and multi-tag have become increasingly common. Firstly...
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Chapter
Cell Growth and Differentiation Under Microgravity
The mechano-biological coupling mechanism of cell response to altered gravity is crucial to understand physiological changes of astronauts in space microgravity environment and to develop relevant countermeasu...
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Chapter and Conference Paper
Roasting Pretreatment-Low Temperature Digestion Method for Comprehensive Utilization of High-Sulfur Bauxite
The Roasting Pretreatment-Low temperature Digestion Method developed by the Northeastern University is presented in this paper, aiming for the of high-sulfur bauxite. Experimental results show that pre-roast...
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Chapter and Conference Paper
A Robust Algorithm: Find an Unknown Person via Referring Grounding
We propose a simple but robust method to recognize an unknown person described in natural language. In this case, a robot is given a verbal description about a person whom the robot is required to recognize. T...
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Chapter and Conference Paper
Annular Flow Interfacial Shear Stress in Pipes
Annular flow is of essential importance in studying critical heat flux during dry out. In annular flow, interfacial shear stress is an important parameter in pressure gradient calculation and modeling of two-f...
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Chapter and Conference Paper
Numerical Investigation of Passively Cooled Steam Generator Natural Circulation Using RELAP5 Code
A new system, which is named advanced secondary passive residual heat removal system (ASP), is designed to remove decay heat passively through the steam generator (SG). It is done by condensing steam from stea...
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Chapter and Conference Paper
Experimental Study on Secondary Passive Residual Heat Removal System
The secondary passive residual heat removal system, which is one of several passive safety systems, is designed to enhance the safety of the reactor core. Experiments on transient and steady state natural circ...
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Chapter and Conference Paper
Experimental Study on Heat Transfer Characteristics of Separated Type Heat Pipe
Separated heat pipe is an efficient passive heat transfer device. It is widely used in chemical and aerospace industry. In this paper, the heat transfer characteristics of the separated heat pipes which applie...
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Chapter and Conference Paper
Study on the Relationship Between Managerial Power and the Quality of Accounting Information
Accounting information is one of the important factories for investors to make the investment decision, because its quality will affect the efficiency and effect of investment decision largely. When the execut...
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Chapter and Conference Paper
Topology of Surface Displacement Shape Feature in Subcortical Structures
The shape of anatomical structures in the brain has been adversely influenced by neurodegenerative disorders. However, the shape feature covariation between regions (e.g. subfields) of the structure and its ch...
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Chapter and Conference Paper
Learning Local Feature Descriptors with Quadruplet Ranking Loss
In this work, we propose a novel deep convolutional neural network (CNN) with quadruplet ranking loss to learn local feature descriptors. The proposed model receives quadruplets of two corresponding patches an...
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Chapter and Conference Paper
Help Me! Sharing of Instructions Between Remote and Heterogeneous Robots
Service robots frequently face similar tasks. However, they are still not able to share their knowledge efficiently on how to accomplish those tasks. We introduce a new framework, which allows remote and heter...
