YAO-SIAN HUANG
(Assistant Professor)
Department of Computer Science and Information Engineering
National Changhua University of Education
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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. 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 (Accept and will Presentation in 2023, Jun).
2. 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).
3. 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).
4. 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).
5. 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).
6. 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).
7. 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).
8. 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).
9. 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).
10. 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).
11. 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).
12. 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).