World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
6943
World Ranking
6609
National Ranking
56

Overview

Ruey-Feng Chang is affiliated with National Taiwan University in Taiwan and has a significant research footprint in the field of Medicine, with a focus on Radiology, Nuclear Medicine and Imaging.

The researcher's work spans several subfields, including:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Pulmonary and Respiratory Medicine
  • Surgery
  • Oncology

The main topics addressed in their research are:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • Colorectal Cancer Screening and Detection
  • COVID-19 diagnosis using AI
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications

Ruey-Feng Chang has published extensively in several academic venues. The frequently appearing publication venues include:

  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • Computerized Medical Imaging and Graphics
  • Surgical Endoscopy
  • European Journal of Radiology

Recent papers authored or coauthored by Ruey-Feng Chang investigate a variety of medical imaging and AI applications. Notable publications include:

  • "Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks," 2020, Computer Methods and Programs in Biomedicine
  • "Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks," 2020, Computers in Biology and Medicine
  • "One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image," 2022, Computer Methods and Programs in Biomedicine
  • "Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network," 2020, Computer Methods and Programs in Biomedicine
  • "CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images," 2022, Artificial Intelligence in Medicine

Collaborative efforts are evident in Chang's frequent coauthorship with several researchers. The most common coauthors include:

  • Yuan-Yen Chang
  • You-Wei Wang
  • Chiun-Sheng Huang
  • Yao-Sian Huang
  • Kuo-Chen Wu

Best Publications

  • Computer?aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks

    Woo Kyung Moon;Yan Wei Lee;Hao Hsiang Ke;Su Hyun Lee

  • Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors.

    Ruey Feng Chang;Wen Jie Wu;Wookyung Moon;Dar Ren Chen

  • Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks

    Dar-Ren Chen;Ruey-Feng Chang;Wen-Jia Kuo;Ming-Chun Chen

  • Breast cancer diagnosis using self-organizing map for sonography.

    Dar-Ren Chen;Ruey-Feng Chang;Yu-Len Huang

  • Computer-aided diagnosis applied to US of solid breast nodules by using neural networks.

    Dar-Ren Chen;Ruey-Feng Chang;Yu-Len Huang

  • Classification of breast ultrasound images using fractal feature.

    Dar Ren Chen;Ruey Feng Chang;Chii Jen Chen;Ming Feng Ho

  • Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis

    Ruey Feng Chang;Wen Jie Wu;Woo Kyung Moon;Dar Ren Chen

  • Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation

    Tsung-Chen Chiang;Yao-Sian Huang;Rong-Tai Chen;Chiun-Sheng Huang

  • Support Vector Machines for Diagnosis of Breast Tumors on US Images

    Ruey Feng Chang;Wen Jie Wu;Wookyung Moon;Yi Hong Chou

  • Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images.

    Wen-Jia Kuo;Ruey-Feng Chang;Dar-Ren Chen;Cheng Chun Lee

  • Breast ultrasound computer-aided diagnosis using BI-RADS features.

    Wei Chih Shen;Ruey Feng Chang;Ruey Feng Chang;Woo Kyung Moon;Yi Hong Chou

  • Computer-Aided Tumor Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images

    Woo Kyung Moon;Yi-Wei Shen;Min Sun Bae;Chiun-Sheng Huang

  • Tamper detection and recovery for medical images using near-lossless information hiding technique.

    Jeffery H K Wu;Ruey Feng Chang;Chii Jen Chen;Ching Lin Wang

  • 3-D breast ultrasound segmentation using active contour model

    Dar Ren Chen;Ruey Feng Chang;Wen Jie Wu;Wookyung Moon

  • Computer-aided diagnosis of liver tumors on computed tomography images

    Chin-Chen Chang;Hong-Hao Chen;Yeun-Chung Chang;Ming-Yang Yang

  • Tamper Detection and Restoring System for Medical Images Using Wavelet-based Reversible Data Embedding

    Kuo-Hwa Chiang;Kuang-Che Chang-Chien;Ruey-Feng Chang;Ruey-Feng Chang;Hsuan-Yen Yen

  • Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed

    Chung Ming Lo;Rong Tai Chen;Yeun Chung Chang;Ya Wen Yang

  • Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis

    Min-Chun Yang;Woo Kyung Moon;Yu-Chiang Frank Wang;Min Sun Bae

  • Computer-Aided Diagnosis for the Classification of Breast Masses in Automated Whole Breast Ultrasound Images

    Wookyung Moon;Yi Wei Shen;Chiun Sheng Huang;Li Ren Chiang

  • Analysis of Elastographic and B-mode Features at Sonoelastography for Breast Tumor Classification

    Woo Kyung Moon;Chiun Sheng Huang;Wei Chih Shen;Etsuo Takada

  • Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model.

    Ruey Feng Chang;Wen Jie Wu;Woo Kyung Moon;Wei Ming Chen

Frequent Co-Authors

Wen-Tsuen Chen
Wen-Tsuen Chen National Tsing Hua University
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
Filippo Molinari
Filippo Molinari Polytechnic University of Turin
Aaron Fenster
Aaron Fenster University of Western Ontario
Yu-Chiang Frank Wang
Yu-Chiang Frank Wang National Taiwan University

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