C. C. Chang
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View article: Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images
Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images Open
This TL model enhances the early detection of Down syndrome from first-trimester ultrasound images, improving diagnostic accuracy and reducing the reliance on manual measurements.
View article: Control knowledge tracing: Modeling students' learning dynamics from a control-theory perspective
Control knowledge tracing: Modeling students' learning dynamics from a control-theory perspective Open
A student's learning system is a system that guides the student's knowledge acquisition process using available learning resources to produce certain learning outcomes that can be evaluated based on the scores of questions in an assessment…
View article: Minimum Fascia‐Tumour Distance for Differentiating Deep Lobe From Superficial Lobe Benign Parotid Tumours: A Retrospective Study and Meta‐Analysis
Minimum Fascia‐Tumour Distance for Differentiating Deep Lobe From Superficial Lobe Benign Parotid Tumours: A Retrospective Study and Meta‐Analysis Open
Background This study was designed to evaluate the diagnostic efficacy of the minimum fascia‐tumour distance (MFTD) in distinguishing deep‐lobe benign parotid tumours from superficial‐lobe tumours through both an original study and a meta‐…
View article: Data and codes for reproducing the results in Loong and Chang (2024)
Data and codes for reproducing the results in Loong and Chang (2024) Open
This link consists of three parts:1. Naturalistic data for an undergraduate civil engineering course, CIVL 3310 Structural Analysis, taught in the spring semester of academic years 2018 and 2019 at the Hong Kong University of Science and T…
View article: An Improved Ensemble Learning-Based Approach for Retail Product Recognition
An Improved Ensemble Learning-Based Approach for Retail Product Recognition Open
Due to the recent trend of unmanned economy, retail stores have gradually reduced their service and cashier manpower. The retail product recognition becomes one of key issues for unmanned shopping. Although the success of deep neural netwo…
View article: Image‐based structural analysis for education purposes: A proof‐of‐concept study
Image‐based structural analysis for education purposes: A proof‐of‐concept study Open
In civil engineering education, hand‐drawn sketches of structural systems are commonly used for response analysis. Based on these sketches, students may determine the response of the structures either by hand calculations or via some speci…
View article: Successful treatment of COVID‐associated fungal infection due to <i>Scopulariopsis</i> and <i>Aspergillus</i> in a girl with acute lymphoblastic leukemia
Successful treatment of COVID‐associated fungal infection due to <i>Scopulariopsis</i> and <i>Aspergillus</i> in a girl with acute lymphoblastic leukemia Open
To the Editor: A 2-year 10-month old female child was diagnosed with acute lymphoblastic leukemia (ALL) at 9 months of age, and was undergoing continuation therapy with the Taiwan Pediatric Oncology Group ALL 2013 protocol. She continued c…
View article: Data and codes for reproducing the results in Loong and Chang (2023, under review)
Data and codes for reproducing the results in Loong and Chang (2023, under review) Open
This link consists of two parts: 1. Naturalistic data for an undergraduate civil engineering course, CIVL 3310 Structural Analysis, taught at the spring semester of academic years 2018 and 2019 at the Hong Kong University of Science and Te…
View article: Data and codes for reproducing the results in Loong and Chang (2023, under review)
Data and codes for reproducing the results in Loong and Chang (2023, under review) Open
This link consists of two parts: 1. Naturalistic data for an undergraduate civil engineering course, CIVL 3310 Structural Analysis, taught at the spring semester of academic years 2018 and 2019 at the Hong Kong University of Science and Te…
View article: Identification and clinical characteristics of a novel missense <scp>ADGRG1</scp> variant in bilateral Frontoparietal Polymicrogyria: The electroclinical change from infancy to adulthood after Callosotomy in three siblings
Identification and clinical characteristics of a novel missense <span>ADGRG1</span> variant in bilateral Frontoparietal Polymicrogyria: The electroclinical change from infancy to adulthood after Callosotomy in three siblings Open
Objective Bilateral frontoparietal polymicrogyria (BFPP) is a rare genetic‐related migration disorder. It has been attributed to loss‐of‐function of the ADGRG1 gene, which encodes an adhesion G protein‐coupled receptor, ADGRG1/GPR56. We re…
View article: Quantitative Analysis for the Delineation of the Subthalamic Nuclei on Three-Dimensional Stereotactic MRI Before Deep Brain Stimulation Surgery for Medication-Refractory Parkinson’s Disease
Quantitative Analysis for the Delineation of the Subthalamic Nuclei on Three-Dimensional Stereotactic MRI Before Deep Brain Stimulation Surgery for Medication-Refractory Parkinson’s Disease Open
Delineation of the subthalamic nuclei (STN) on MRI is critical for deep brain stimulation (DBS) surgery in patients with Parkinson’s disease (PD). We propose this retrospective cohort study for quantitative analysis of MR signal-to-noise r…
View article: A Blockchain-based Secure Storage Scheme for Medical Information
A Blockchain-based Secure Storage Scheme for Medical Information Open
Medical data involves a large amount of personal information and is highly privacy sensitive. In the age of big data, the increasing informatization of healthcare makes it vital that medical information is stored securely and accurately. H…
View article: Traffic Light and Arrow Signal Recognition Based on a Unified Network
Traffic Light and Arrow Signal Recognition Based on a Unified Network Open
We present a traffic light detection and recognition approach for traffic lights that utilizes convolutional neural networks. We also introduce a technique for identifying arrow signal lights in multiple urban traffic environments. For det…
View article: Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks
Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks Open
In this paper, we present a real-time object detection and depth estimation approach based on deep convolutional neural networks (CNNs). We improve object detection through the incorporation of transfer connection blocks (TCBs), in particu…
View article: High-resolution hypernuclear spectroscopy at Jefferson Lab, Hall A
High-resolution hypernuclear spectroscopy at Jefferson Lab, Hall A Open
The experiment E94-107 in Hall A at Jefferson Lab started a systematic study\nof high resolution hypernuclear spectroscopy in the 0p-shell region of nuclei\nsuch as the hypernuclei produced in electroproduction on 9Be, 12C and 16O\ntargets…
View article: Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs Open
• Automated detection of hip fractures on frontal pelvic radiographs may facilitate emergent screening and evaluation efforts for primary physicians. • Good visualization of the fracture site by Grad-CAM enables the rapid integration of th…
View article: Bridge Damage Detection using a Single-Stage Detector and Field Inspection Images
Bridge Damage Detection using a Single-Stage Detector and Field Inspection Images Open
Detecting concrete surface damages is a vital task for maintaining the structural health and reliability of highway bridges. Currently, most of these tasks are conducted manually which could be cumbersome and time-consuming. Recent rapid a…
View article: A high-accuracy image-based crack displacement sensor
A high-accuracy image-based crack displacement sensor Open
In this study, a new image-based sensor with high accuracy was developed. This wireless sensor is composed by optical sensor, micro-processor, wireless modules and rechargeable battery. Highly sensitive digital sampling moiré (DSM) method …
View article: An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method
An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method Open
High-accuracy crack growth measurement is crucial for the health assessment of concrete structures. In this work, an optical crack growth sensor using the digital sampling moiré (DSM) method is developed for two-dimensional (2D) crack grow…
View article: Traffic Sign Detection and Recognition for Driving Assistance System
Traffic Sign Detection and Recognition for Driving Assistance System Open
In this paper, we present a traffic sign detection and recognition for a driving assistance system. The proposed approach consists of two subsystems for detection and recognition. First, the road sign detection subsystem adopts the color i…
View article: Relationship between the Computed Tomography - Measured Initial Primary Tumor Volume, Urine VMA Level and Stage in Neuroblastoma Patients
Relationship between the Computed Tomography - Measured Initial Primary Tumor Volume, Urine VMA Level and Stage in Neuroblastoma Patients Open
Background: Nowadays, volumetric data acquisition has allowed for the accurate quantification of volumetric tumor burden. However, few studies have focused on the relationship between neuroblastoma tumor volume and relevant clinical parame…
View article: Depression and family support in breast cancer patients
Depression and family support in breast cancer patients Open
Jian-An Su,1–3,* Dah-Cherng Yeh,4,* Ching-Chi Chang,5,* Tzu-Chin Lin,6,7 Ching-Hsiang Lai,8 Pei-Yun Hu,8 Yi-Feng Ho,9 Vincent Chin-Hung Chen,1,2 Tsu-Nai Wang,10,11 Michael Gossop12 1Chang Gung Medical Foundation, Chiayi Chang Gung Memorial…
View article: Output-only subspace identification of structural properties and unknown ground excitation for shear-beam buildings
Output-only subspace identification of structural properties and unknown ground excitation for shear-beam buildings Open
A novel output-only subspace identification method is proposed to estimate the structural parameters of a shear-beam building under unknown ground excitation. The unique feature of the method is that both the structural parameters and the …
View article: A High-Quality Reversible Image Authentication Scheme Based on Adaptive PEE for Digital Images
A High-Quality Reversible Image Authentication Scheme Based on Adaptive PEE for Digital Images Open
Image authentication is a technique aiming at protecting the integrity of digital images.Reversible image authentication has attracted much attention of researcher because it allows to authenticate tampered regions in the image and to reco…
View article: Diagnostic Performance on Low Dose Computed Tomography For Acute Appendicitis Among Attending and Resident Radiologists
Diagnostic Performance on Low Dose Computed Tomography For Acute Appendicitis Among Attending and Resident Radiologists Open
Attending radiologists could diagnose acute appendicitis accurately on NE-LDCT. Performance of senior residents on NE-LDCT is better than junior residents and comparable to attending radiologists.