YAO-SIAN HUANG
(Assistant Professor)
Department of Computer Science and Information Engineering
National Changhua University of Education
Academic Advisor
Yao-Sian Huang is a researcher and committed to using computer science to develop computer-aided system in the medical imaging field. He has extensive experience in applying innovative idea and novel technology to system exploitation for assisting physicians in clinic. He also assists in the cooperation between academia and industry for product commercialization. Recently, he enrolls in several product commercialization projects of computer-aided system and some of them has been in accomplishment
1. A ConvNeXt-based Network with Channel Attention Mechanism and Weighted Feature Fusion for Hyperthyroidism Diagnosis in
Thyroid Ultrasound Image
Biomedical Signal Processing and Control, Volume 125
Chen CM*, Huang YS*, Yu MJ, Chang YY, Chang WY, Fu CP, Chang RF (2026, Oct)
SCIE, 33/130, ENGINEERING, BIOMEDICAL
NSTC 114-2811-E-002-056-MY3, and NSTC 114-2634-F-002-005
2. LRF-Unet: Low-rank Factorized Convolution Deep-learning Networks for Visceral Adipose and Muscle Tissue Segmentation in Abdominal
Computed Tomography Image
Journal of Imaging Informatics in Medicine
Wu MC, Tseng CZ, Huang YS, Chen CM (2026, March)
SCIE, 32/213
3. ACD2W-InceptionNeXt: adjacent class distinguished and class distance weighted InceptionNeXt-based computer-aided mayo endoscopic
scoring system for still images and video segments
Health Information Science and Systems, Volume 14, article number 39
Chang YY, Cheng YY, Yang HP, Yen HH, Huang YS (2026, Feb)
SCIE, 23/48, MEDICAL INFORMATICS
NSTC 112-2221-E-018-018, and NSTC 113-2221-E-025-007
4. Detection and Diagnosis for Pressure Injury by Using SE-Swin Cascade R-CNN
IEEE MultiMedia, pp. 4-15, vol. 32
Huang YS, Chen CM, Liu YS, Sun SC, Chen MC, Chang SC, Chang RF (2025, Jan)
SCI, 20/60, COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
MOST 110-2221-E-002-122-MY3, MOST 110-2221-E-002-123-MY3, and MOST 112-2634-F-002-003
5. An Improved 3-D Attention CNN with Hybrid Loss and Feature Fusion for Pulmonary Nodule Classification
Computer Methods and Programs in Biomedicine, 229, 107278
Huang YS, Wang TC, Huang SZ, Zhang J, Chen HM, Chang YC, Chang RF (2023, Feb)
SCI, 12/110, COMPUTER SCIENCE, THEORY & METHODS
MOST 110-2634-F-002-049, and MOST 110-2221-E-002-122-MY3
6. One-Stage Pulmonary Nodule Detection using 3-D DCNN with Feature Fusion and Attention Mechanism in CT Image
Computer Methods and Programs in Biomedicine, 220, 106786
Huang YS, Chour PR, Chen HM, Chang YC, Chang RF (2022,)
SCI, 13/110, COMPUTER SCIENCE, THEORY & METHODS
MOST 110-2634-F-002-009, MOST 110-2634-F-002-049, and MOST 110-2221-E-002-122-MY3
7. 3-D Res-CapsNet Convolutional Neural Network on Automated Breast Ultrasound Tumor Diagnosis.
European Journal of Radiology, 138(109608).
Xiang H, Huang YS, Lee CH, Chang Chien TY, Lee CK, Liu L, Li A, Lin X, Chang RF (2021, Feb)
SCI, 50/134, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
MOST 108-2634-F-002-010
8. Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.
Computer Methods and Programs in Biomedicine, 190, 105360.
Moon WK, Huang YS, Hsu CH, Chang Chien TY, Chang JM, Lee SH, Huang CS, Chang RF (2020, Jul)
SCI, 10/108, COMPUTER SCIENCE, THEORY & METHODS
MOST 107-2634-F-002-019
9. A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial
statistics and multidimensional DenseNet
Medical Physics, 47(3),1021-1033
Chen CM, Huang YS, Fang PW, Liang CW, Chang RF (2020, Mar)
SCI, 33/134 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Departmentof Medical Research of National Taiwan University Hospital: 105-M3314
10. Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network
Computer Methods and Programs in Biomedicine, 177, 175-182
Chen CH, Lee YW, Huang YS, Lan WR, Chang RF, Tu CY, Chen CY, Liao WH (2019, Aug)
SCI, 16/108, COMPUTER SCIENCE, THEORY & METHODS
MOST 104-2221-E-002-062-MY3
11. Tumor detection in automated breast ultrasound using 3-D CNN and prioritized candidate aggregation
IEEE Transactions on Medical Imaging, Epub ahead of print
Chiang TC, Huang YS, Chen RT, Huang CS, Chang RF (2018, Jul)
SCI, 3/105, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
MOST 107-2634-F-002-013
12. Computer-Aided tumor diagnosis in 3-D breast elastography
Computer Methodsand Programs in Biomedicine, 153, 201-209
Huang YS, Takada E, Konno S, Huang CS, Kuo MH, Chang RF (2017, Oct)
SCI, 14/99, COMPUTER SCIENCE, THEORY & METHODS
MOST 104-2221-E-002-062-MY3
13. Computer-Aided Tumor Diagnosis using Shear Wave Breast Elastography
Ultrasonics, 78, 125-133
Moon WK, Huang YS, Lee YW, Chang SC, Lo CM, Yang MC, Bae MS, Lee SH, Chang JM, Huang CS, Lin YT, Chang RF (2017, Jul)
SCI, 8/31, ACOUSTICS
MOST 104-2221-E-002-062-MY3
14. Computer-aided prediction of axillary lymph node status in breast cancer using tumor surrounding tissue features in ultrasound images
Computer Methods and Programs in Biomedicine, 146, 143-150
Moon WK, Lee YW, Huang YS, Lee SH, Bae MS, Yi A, Huang CS, Chang RF (2017, Jul)
SCI, 14/99, COMPUTER SCIENCE, THEORY & METHODS
MOST 104-2221-E-002-062-MY3
1. 2.5-D lung nodule detection on LDCT using tri-slice context encoding and probability-weighted 3-D NMS with YOLOv13
Computer Assisted Radiology and Surgery, Nagoya, Japan
Lin ZX, Huang YS (2026, July)
2. GLoBAV-Net: Adapting Vessel Foundation Models with Global-Local Aggregation for Pulmonary Artery-Vein Segmentation
Computer Assisted Radiology and Surgery, Nagoya, Japan
Yang SH, Huang YS (2026, July)
3. Enhancing Medical Image Segmentation with a Lightweight Diff-UNet Model
The International Forum on Medical Imaging in Asia 2025, Takamatsu, Kagawa, Janpen
HU SL, Huang YS (2025, March)
4. A 3-D ResRga Computer-aded Diagnosis System in Lung Computed Tomography for EGFR Mutation Status Classification
Computer Assisted Radiology and Surgery, Barcelona, Spain
Huang YS, Chang YC, Chang RF (2024, Jun)
5. 3-D SEH-YOLO: A YOLO-based Computer-aided Detection model for Lung Nodule Detection on Low-dose Computed Tomography
Computer Assisted Radiology and Surgery, Munich, Germany
Huang YS, Chen TA, Chang RF (2023, Jun)
6. A computer-aided diagnosis system-3-D SGE-SANet for Lung Nodule Classification on Low-dose Computed Tomography
Computer Assisted Radiology and Surgery, Munich, Germany
Huang YS, Lin TC, Chang RF (2022, Jun)
7. 3-D split attention CNN-based tumor detection for automated breast ultrasound image
Computer Assisted Radiology and Surgery, Munich, Germany
Chang RF, Huang YS, Tu CW (2022, Jun)
8. A Computer-aided Diagnosis System based on 3-D Attention-CNN architecture for Tumor Diagnosis on Automated Breast Ultrasound
Computer Assisted Radiology and Surgery, Munich, Germany
Chang RF, Zhang J, Huang YS, Xiang H, Lin X (2021, Jun)
9. Developing a Computer-aided Diagnosis System by 3-D SE-ResNeXt for Lung Nodule Classification on Low-dose Computed Tomography
Computer Assisted Radiology and Surgery, Munich, Germany
Huang YS, Huang SZ, Lin TC, Chang RF (2021, Jun)
10. Using 3-D Octave-ResNeXt Computer-aided Diagnosis System for Tumor Classification in Automated Breast Ultrasound
statistics and multidimensional DenseNet
International Forum on Medical Imaging in Asia, Taipei, Taiwan
Huang YS, Lai YT, Xiang H, Lin X, Chang RF (2021, Jan)
11. One-stage Tumor Detection for Automated Breast Ultrasound Using Deep Convolutional Network
Computer Assisted Radiology and Surgery, Munich, Germany
Chang RF, Ho YC, Huang YS, Chang Chien TY, Xiang H, Lin X (2020, Jun)
12. 3D Capsule Neural Network on Automated Breast Ultrasound Tumor Diagnosis
Computer Assisted Radiology and Surgery, Munich, Germany
Huang YS, Chang Chien TY, Lee CH, Lin X, Xiang H, Chang RF (2020, Jun)
13. Computer-Aided Diagnosis using 3-D Convolutional Neural Network
International Workshop on Advanced Image Technology and International Forum on Medical Imaging in Asia 2019 (IWAIT-IFMIA), Singapore
Chang RF, Huang YS, Chiang TC, Peng HY, Huang CS (2019, Jan)
14. Lung CT Computer-Aided Diagnosis using Multi-scale Densely Connected Network
International Workshop on Advanced Image Technology and International Forum on Medical Imaging in Asia 2019 (IWAIT-IFMIA), Singapore
Huang YS, Chang RF, Hong JK, Chang YC (2019, Jan)
15. Tumor detection for automated breast ultrasound using 3-D convolutional neural network
CARS 2018 Computer Assisted Radiology and Surgery, Berlin, German
Chang RF, Lee YW, Huang YS, Huang CS, Moon WK, Lee SH, Bae MS, Yi A, Chang JM (2018, Jun)
16. Computer-Aided Tumor Diagnosis for Automated Breast Ultrasound
Computer Vision, Graphics, and Image Processing, Nantou, Taiwan
Huang YS, Chang RF, Lu YT, Huang CS (2017, Aug)
17. Computer-Aided Tumor Diagnosis using Shear Wave Breast Elastography
Conference on Computer Vision, Graphics, and IMage Processing, Keelung, Taiwan
Huang YS, Chang RF, Lin YT, Moon WK (2016, Aug)