Jie-Zhi Cheng

发表

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

D. Shen, Jie-Zhi Cheng, Dong Ni, 2016, Scientific Reports.

Computer-aided US diagnosis of breast lesions by using cell-based contour grouping.

Jie-Zhi Cheng, Y. Chou, C. Tiu, 2010, Radiology.

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

Jie-Zhi Cheng, Dong Ni, Xudong Jiang, 2017, IEEE Transactions on Medical Imaging.

Cortical enhanced tissue segmentation of neonatal brain

G. Gerig, Weili Lin, D. Shen, 2009 .

Detection of Arterial Calcification in Mammograms by Random Walks

Dinggang Shen, Elodia B. Cole, Etta D. Pisano, 2009, IPMI.

Cascaded-Recalibrated Multiple Instance Deep Model for Pathologic-Level Lung Cancer Prediction in CT Images

W. Zhang, Jie-Zhi Cheng, Qingfeng Wang, 2022, Computational intelligence and neuroscience.

Automatic Segmentation of the Corpus Callosum Using a Cell-Competition Algorithm: Diffusion Tensor Imaging-Based Evaluation of Callosal Atrophy and Tissue Alterations in Patients With Systemic Lupus Erythematosus

Jie-Zhi Cheng, Chung-Ming Chen, M. Chou, 2015, Journal of computer assisted tomography.

ACCOMP — Augmented Cell Competition Algorithm for Delineating Boundaries of Objects of Interested for Sonography IBME-TR-20061101

Jie-Zhi Cheng, Y. Chou, Chung-Ming Chen, 2006 .

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, PRCV.

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, MICCAI.

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection

Jie-Zhi Cheng, Xi Ouyang, Bin Xiao, 2022, Medical Image Anal..

Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity

Bin Sun, Yachun Gao, Mei Xie, 2017, Neural Processing Letters.

MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization

Mei Xie, Zheng Ma, Xin Dai, 2016, Medical & Biological Engineering & Computing.

CENTS: Cortical enhanced neonatal tissue segmentation

Dinggang Shen, Feng Shi, Yong Fan, 2011, Human brain mapping.

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil

Dinggang Shen, Lawrence L. Wald, Feng Shi, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Skin Lesion Segmentation via Dense Connected Deconvolutional Network

Feng Zhou, Tianfu Wang, Hang Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules

Bai Ying Lei, Dong Ni, Tianfu Wang, 2016, MICCAI.

Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR

D. Shen, Jie-Zhi Cheng, Z. Jiao, 2021, Journal of Translational Medicine.

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Pheng-Ann Heng, Hao Chen, Dong Ni, 2017, IEEE Transactions on Cybernetics.

Stochastic region competition algorithm for Doppler sonography segmentation.

Chung-Ming Chen, Yeun-Chung Chang, Fang-Cheng Yeh, 2012, Medical physics.

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study

Jun Huang, Jie-Zhi Cheng, Qingfeng Wang, 2020, BMC Medical Informatics and Decision Making.

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

Hao Chen, Pheng-Ann Heng, Dong Ni, 2015, MICCAI.

Deep Contextual Networks for Neuronal Structure Segmentation

Hao Chen, Pheng-Ann Heng, Xiaojuan Qi, 2016, AAAI.

Boundary Delineation of Breast Lesions in Series of 2D Sonography by Modeling the Spatial-Temporal Prior and Cell-Based MAP Approach

Wen-Huang Cheng, Chung-Ming Chen, Yi-Hong Chou, 2013, 2013 Seventh International Conference on Image and Graphics.

Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network

Zhen Ma, M. Xie, Jie-Zhi Cheng, 2017, Scientific Reports.

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

Bai Ying Lei, Dong Ni, Tianfu Wang, 2017, IEEE Transactions on Medical Imaging.

Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images

Chao Wang, Xuehai Zhou, Jie-Zhi Cheng, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images

Ying Zhou, Chao Wang, Jun Huang, 2019, IEEE Access.

Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques

Dinggang Shen, Chung-Ming Chen, Elodia B. Cole, 2012, IEEE Transactions on Medical Imaging.

Automated DNA fiber tracking and measurement

Dinggang Shen, Yaping Wang, Lei Guo, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray

Qian Wang, Ying Zhou, Yiqiang Zhan, 2019, MICCAI.

Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration

Ming Xu, Pheng-Ann Heng, Dong Ni, 2016, IEEE Transactions on Medical Imaging.

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning pdf

Dinggang Shen, Zhong Xue, Jie-Zhi Cheng, 2021, MICCAI.

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network

Hang Li, Shan Huang, Ran Li, 2018, Neurocomputing.

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound

Ran Li, Hang Li, Jing Qin, 2020, Medical Image Anal..

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting

Dong Ni, Tianfu Wang, Yi Wang, 2018, IEEE Journal of Biomedical and Health Informatics.

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

Xudong Jiang, Ee-Leng Tan, Bai Ying Lei, 2017, IEEE Trans. Medical Imaging.

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Hao Chen, Xin Yang, Pheng-Ann Heng, 2017, MICCAI.

Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis

Jun Huang, Jie-Zhi Cheng, Qingfeng Wang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis

Ziyan Wu, Terrence Chen, Qian Wang, 2020, IEEE Transactions on Medical Imaging.

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks

Dong Ni, Tianfu Wang, Shengli Li, 2017, IEEE Transactions on Cybernetics.

Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease

Xiang Lisa Li, Jie-Zhi Cheng, Jinrong Yang, 2023, Comput. Biol. Medicine.

Cluster-dependent feature selection by multiple kernel self-organizing map

Yen-Yu Lin, Jie-Zhi Cheng, Kuan-Chieh Huang, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Jie-Zhi Cheng, Zaiyi Liu, Zhiming Cui, 2023, ArXiv.

Spectral Aggregation Based on Iterative Graph Cut for Sonographic Breast Image Segmentation

Chung-Ming Chen, Jyh-Horng Chen, Jie-Zhi Cheng, 2010, MIAR.

Cell-based two-region competition algorithm with a map framework for boundary delineation of a series of 2D ultrasound images.

Jie-Zhi Cheng, Chui-Mei Tiu, Kuei-Wu Chen, 2007, Ultrasound in medicine & biology.

Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity

M. Xie, Jie-Zhi Cheng, Jingjing Gao, 2018, Neural Processing Letters.

ACCOMP: Augmented cell competition algorithm for breast lesion demarcation in sonography.

Fang-Cheng Yeh, Yeun-Chung Chang, Chiun-Sheng Huang, 2010, Medical physics.

Segmenting overlapping cervical cell in Pap smear images

Bai Ying Lei, Dong Ni, Tianfu Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2018, MICCAI.

Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2019, Magnetic resonance imaging.

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

Jie-Zhi Cheng, Zaiyi Liu, Zhiming Cui, 2023, 2304.10226.

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Jie-Zhi Cheng, Zaiyi Liu, Zhiming Cui, 2023, ArXiv.

Deep Learning Techniques on Texture Analysis of Chest and Breast Images

Dinggang Shen, Chung-Ming Chen, Jie-Zhi Cheng, 2017 .

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks

Lei Xiang, Seong-Whan Lee, Ehsan Adeli, 2020, Int. J. Imaging Syst. Technol..

Cell-competition algorithm: a new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images.

Fang-Cheng Yeh, Yi-Hong Chou, Curtis S K Chen, 2005, Ultrasound in medicine & biology.

Stochastic region competition algorithm for Doppler sonography segmentation.

F. Yeh, Jie-Zhi Cheng, Y. Chou, 2012, Medical physics.

Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network

Mei Xie, Jingjing Gao, Jie-Zhi Cheng, 2017, Scientific Reports.

Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images

Jie-Zhi Cheng, Pei Dong, Zhi Wang, 2022, BMC Musculoskeletal Disorders.