Color-appearance-model based fusion of gray and pseudo-color images for medical applications. - Tianjie Li; Yuanyuan Wang 001; Cai Chang; Na Hu; Yongping Zheng (Inf. Fusion, 2014)

Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine. - Xiaoyan Fei; Weijun Zhou; Lu Shen; Cai Chang; Shichong Zhou; Jun Shi 004 (EMBC, 2019)

Breast Calcifications Detection Based on Radiofrequency Signals by Quantitative Ultrasound Multi-parameter Fusion. - Mengyun Qiao; Yi Guo 002; Shichong Zhou; Cai Chang; Yuanyuan Wang 001 (EMBC, 2019)

Combining a Fully Convolutional Network and an Active Contour Model for Automatic 2D Breast Tumor Segmentation from Ultrasound Images. - Zhou Fang; Mengyun Qiao; Yi Guo 002; Yuanyuan Wang 001; Jiawei Li; Shichong Zhou; Cai Chang (J. Medical Imaging Health Informatics, 2019)

BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. - Bangming Gong; Lu Shen; Cai Chang; Shichong Zhou; Weijun Zhou; Shuo Li 001; Jun Shi 004 (ISBI, 2020)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. - Xiangmin Han; Jun Wang 024; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi 004 (MICCAI (6), 2020)

Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network. - Ruoyun Liu; Shichong Zhou; Yi Guo 002; Yuanyuan Wang 001; Cai Chang (J. Digit. Imaging, 2020)

Application of preoperative ultrasound features combined with clinical factors in predicting HER2-positive subtype (non-luminal) breast cancer. - Jin Zhou; An-qi Jin; Shichong Zhou; Jia-wei Li; Wen-xiang Zhi; Yun-xia Huang; Qian Zhu; Lang Qian; Jiong Wu; Cai Chang (BMC Medical Imaging, 2021)

U2F-GAN: Weakly Supervised Super-pixel Segmentation in Thyroid Ultrasound Images. - Ruoyun Liu; Shichong Zhou; Yi Guo 002; Yuanyuan Wang 001; Cai Chang (Cogn. Comput., 2021)

Breast calcification detection based on multichannel radiofrequency signals via a unified deep learning framework. - Menyun Qiao; Zhou Fang; Yi Guo 002; Shichong Zhou; Cai Chang; Yuanyuan Wang 001 (Expert Syst. Appl., 2021)

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. - Xiaoyan Fei; Shichong Zhou; Xiangmin Han; Jun Wang 024; Shihui Ying; Cai Chang; Weijun Zhou; Jun Shi 004 (Pattern Recognit., 2021)

Dense Prediction and Local Fusion of Superpixels: A Framework for Breast Anatomy Segmentation in Ultrasound Image With Scarce Data. - Qinghua Huang; Zhaoji Miao; Shichong Zhou; Cai Chang; Xuelong Li 001 (IEEE Trans. Instrum. Meas., 2021)

Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study. - Yuyang Tong; Jingwen Zhang; Yi Wei; Jinhua Yu; Weiwei Zhan; Hansheng Xia; Shichong Zhou; Yuanyuan Wang 001; Cai Chang (BMC Medical Imaging, 2022)

Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography. - Weichang Ding; Jun Wang 024; Weijun Zhou; Shichong Zhou; Cai Chang; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features. - Mengyun Qiao; Chencheng Liu; Zeju Li; Jin Zhou; Qin Xiao; Shichong Zhou; Cai Chang; Yajia Gu; Yi Guo 002; Yuanyuan Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 013; Shihui Ying; Cai Chang; Jun Shi 004 (CoRR, 2023)

Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians. - Zhaoting Shi; Yebo Ma; Xiaowen Ma; An-qi Jin; Jin Zhou; Na Li; Danli Sheng; Cai Chang; Jiangang Chen; Jiawei Li (Sensors, 2023)

A weakly supervised deep active contour model for nodule segmentation in thyroid ultrasound images. - Zhizhou Li; Shichong Zhou; Cai Chang; Yuanyuan Wang 001; Yi Guo 002 (Pattern Recognit. Lett., 2023)

An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers. - Jianing Xi; Donghui Sun; Cai Chang; Shichong Zhou; Qinghua Huang (Comput. Biol. Medicine, 2023)

HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation. - Xiaokang Li; Menghua Xia; Jing Jiao; Shichong Zhou; Cai Chang; Yuanyuan Wang 001; Yi Guo 002 (Medical Image Anal., 2023)

A novel image-to-knowledge inference approach for automatically diagnosing tumors. - Qinghua Huang; Dan Wang; Zhenkun Lu; Shichong Zhou; Jiawei Li; Longzhong Liu; Cai Chang (Expert Syst. Appl., 2023)

Standardization of ultrasound images across various centers: M2O-DiffGAN bridging the gaps among unpaired multi-domain ultrasound images. - Lihong Huang; Jin Zhou; Jing Jiao; Shichong Zhou; Cai Chang; Yuanyuan Wang 001; Yi Guo 002 (Medical Image Anal., 2024)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 003; Shihui Ying; Cai Chang; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Axillary lymph node metastasis in pure mucinous carcinoma of breast: clinicopathologic and ultrasonographic features. - Na Li; Jia-Wei Li; Yu Qian; Ya-Jing Liu; Xiu-Zhu Qi; Ya-Ling Chen; Yi Gao; Cai Chang (BMC Medical Imaging, 2024)

An ultrasound-based model for predicting the response to neoadjuvant chemotherapy in early stage triple negative breast cancer patients. - Yuyang Tong; Yi Wei; Peixuan Sun; Cai Chang (BMC Medical Imaging, 2025)