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Journal Articles
- 2023
[j19]Jinrong Yang
, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang, Fan Yang:
Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Comput. Biol. Medicine 160: 107002 (2023)- [j18]Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Dinggang Shen, Qian Wang:
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection. Medical Image Anal. 84: 102708 (2023) - 2021
- [j17]Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. IEEE Trans. Medical Imaging 40(10): 2698-2710 (2021) - 2020
- [j16]Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020) - [j15]Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jie Du, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng:
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64: 101753 (2020) - [j14]Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu, Jie-Zhi Cheng:
Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study. BMC Medical Informatics Decis. Mak. 20-S(14): 317 (2020) - 2019
- [j13]Qingfeng Wang, Xuehai Zhou, Chao Wang, Zhiqin Liu, Jun Huang, Ying Zhou, Changlong Li, Hang Zhuang, Jie-Zhi Cheng:
WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images. IEEE Access 7: 18450-18463 (2019) - [j12]Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Baiying Lei, Tianfu Wang:
Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images". IEEE Trans. Medical Imaging 38(6): 1543 (2019) - 2018
- [j11]Baiying Lei, Shan Huang, Ran Li, Cheng Bian, Hang Li, Yi-Hong Chou, Jie-Zhi Cheng:
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network. Neurocomputing 321: 178-186 (2018) - [j10]Jingjing Gao, Xin Dai, Chongjin Zhu, Jie-Zhi Cheng, Xiaoguang Tu, Daiqiang Chen, Bin Sun, Yachun Gao, Mei Xie:
Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity. Neural Process. Lett. 48(1): 153-166 (2018) - [j9]Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni:
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE J. Biomed. Health Informatics 22(1): 215-223 (2018) - 2017
- [j8]Dong Ni, Xing Ji, Min Wu, Wenlei Wang, Xiaoshuang Deng, Zhongyi Hu, Tianfu Wang, Dinggang Shen, Jie-Zhi Cheng, Huifang Wang:
Automatic cystocele severity grading in transperineal ultrasound by random forest regression. Pattern Recognit. 63: 551-560 (2017) - [j7]Lingyun Wu, Jie-Zhi Cheng, Shengli Li, Bai Ying Lei, Tianfu Wang, Dong Ni:
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks. IEEE Trans. Cybern. 47(5): 1336-1349 (2017) - [j6]Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [j5]Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images. IEEE Trans. Medical Imaging 36(1): 288-300 (2017) - [j4]Sihong Chen, Jing Qin, Xing Ji, Bai Ying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng:
Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images. IEEE Trans. Medical Imaging 36(3): 802-814 (2017) - 2016
- [j3]Xiaoguang Tu, Jingjing Gao, Chongjin Zhu, Jie-Zhi Cheng, Zheng Ma, Xin Dai, Mei Xie:
MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization. Medical Biol. Eng. Comput. 54(12): 1807-1818 (2016) - [j2]Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, Xiaoyan Xie, Pheng-Ann Heng:
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. IEEE Trans. Medical Imaging 35(2): 589-604 (2016) - 2012
- [j1]Jie-Zhi Cheng, Chung-Ming Chen, Elodia B. Cole, Etta D. Pisano, Dinggang Shen:
Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques. IEEE Trans. Medical Imaging 31(11): 2143-2155 (2012)
Conference and Workshop Papers
- 2021
- [c31]Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) 2021: 78-87 - [c30]Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. MICCAI (7) 2021: 98-108 - [c29]Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) 2021: 536-547 - 2020
- [c28]Qingfeng Wang, Ying Zhou, Jun Huang, Zhiqin Liu, Ling Li, Weiyun Xu, Jie-Zhi Cheng:
Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis. BIBM 2020: 1156-1160 - [c27]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI 2020: 169-177 - 2019
- [c26]Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, Chao Wang:
Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images. BIBM 2019: 741-745 - [c25]Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, Jie-Zhi Cheng:
Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs. BIBM 2019: 1551-1555 - [c24]Hang Li, Jie-Zhi Cheng, Yi-Hong Chou, Jing Qin, Shan Huang, Baiying Lei:
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. ISBI 2019: 1078-1081 - [c23]Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng:
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. MICCAI (6) 2019: 613-621 - 2018
- [c22]Qingfeng Wang, Jie-Zhi Cheng, Zhiqin Liu, Jun Huang, Qiyu Liu, Ying Zhou, Weiyun Xu, Chao Wang, Xuehai Zhou:
Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy. BIBM 2018: 2813-2815 - [c21]Qingfeng Wang, Jie-Zhi Cheng, Ying Zhou, Hang Zhuang, Changlong Li, Bo Chen, Zhiqin Liu, Jun Huang, Chao Wang, Xuehai Zhou:
Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis. ICONIP (7) 2018: 420-432 - [c20]Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei:
Skin Lesion Segmentation via Dense Connected Deconvolutional Network. ICPR 2018: 671-675 - [c19]Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen:
Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI. MICCAI (1) 2018: 410-417 - 2017
- [c18]Cheng Bian, Ran Lee, Yi-Hong Chou, Jie-Zhi Cheng:
Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound. MICCAI (3) 2017: 259-266 - [c17]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - 2016
- [c16]Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
Deep Contextual Networks for Neuronal Structure Segmentation. AAAI 2016: 1167-1173 - [c15]Youyi Song, Jie-Zhi Cheng, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Segmenting overlapping cervical cell in Pap smear images. ISBI 2016: 1159-1162 - [c14]Sihong Chen, Dong Ni, Jing Qin, Bai Ying Lei, Tianfu Wang, Jie-Zhi Cheng:
Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules. MICCAI (2) 2016: 53-60 - [c13]Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen:
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) 2016: 247-255 - 2015
- [c12]Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. MICCAI (1) 2015: 507-514 - 2013
- [c11]Jie-Zhi Cheng, Chung-Ming Chen, Yi-Hong Chou, Wen-Huang Cheng:
Boundary Delineation of Breast Lesions in Series of 2D Sonography by Modeling the Spatial-Temporal Prior and Cell-Based MAP Approach. ICIG 2013: 905-908 - [c10]Hsien-Wen Chiang, Hsien-Jen Chiang, Shih-Yu Chao, Tzu-Chao Chuang, Jie-Zhi Cheng:
Compare the Application of Two Different b-Value in Diffusion Weighted Imaged to Signal Differences on 3T MRI. ICIG 2013: 909-912 - 2012
- [c9]Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, Yen-Yu Lin:
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation. ACCV (1) 2012: 730-744 - [c8]Kuan-Chieh Huang, Yen-Yu Lin, Jie-Zhi Cheng:
Cluster-dependent feature selection by multiple kernel self-organizing map. ICPR 2012: 589-592 - [c7]Jie-Zhi Cheng, Chung-Ming Chen, Dinggang Shen:
Identification of breast vascular calcium deposition in digital mammography by linear structure analysis. ISBI 2012: 126-129 - 2011
- [c6]Yaping Wang, Paul Chastain, Pew-Thian Yap, Jie-Zhi Cheng, David Kaufman, Lei Guo, Dinggang Shen:
Automated DNA fiber tracking and measurement. ISBI 2011: 1349-1352 - 2010
- [c5]Hsin-Hung Chiang, Jie-Zhi Cheng, Pei-Kai Hung, Chun-You Liu, Cheng-Hong Chung, Chung-Ming Chen:
Cell-based graph cut for segmentation of 2D/3D sonographic breast images. ISBI 2010: 177-180 - [c4]Chi-Hsuan Tsou, Jyh-Horng Chen, Jie-Zhi Cheng, Chung-Ming Chen:
Spectral Aggregation Based on Iterative Graph Cut for Sonographic Breast Image Segmentation. MIAR 2010: 383-392 - 2009
- [c3]Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen:
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops 2009: 39-45 - [c2]Jie-Zhi Cheng, Elodia B. Cole, Etta D. Pisano, Dinggang Shen:
Detection of Arterial Calcification in Mammograms by Random Walks. IPMI 2009: 713-724 - 2008
- [c1]Jie-Zhi Cheng, Kuei-Wu Chen, Yi-Hong Chou, Chung-Ming Chen:
Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis. Medical Imaging: Computer-Aided Diagnosis 2008: 69152E
Informal and Other Publications
- 2023
- [i6]Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR abs/2304.10226 (2023) - 2022
- [i5]Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Qian Wang, Dinggang Shen:
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection. CoRR abs/2207.09389 (2022) - 2021
- [i4]Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. CoRR abs/2111.10827 (2021) - [i3]Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis. CoRR abs/2112.12349 (2021) - 2020
- [i2]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. CoRR abs/2005.11926 (2020) - 2017
- [i1]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017)
Coauthor Index
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