Jie-Zhi Cheng

Orcid: 0000-0003-3446-8173

According to our database1, Jie-Zhi Cheng authored at least 52 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease.
Comput. Biol. Medicine, June, 2023

Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection.
Medical Image Anal., 2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.
CoRR, 2023

2021
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis.
IEEE Trans. Medical Imaging, 2021

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
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., 2020

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Medical Image Anal., 2020

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.
Int. J. Imaging Syst. Technol., 2020

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography.
CoRR, 2020

mr<sup>2</sup>NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images".
IEEE Trans. Medical Imaging, 2019

WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images.
IEEE Access, 2019

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
IEEE J. Biomed. Health Informatics, 2018

Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity.
Neural Process. Lett., 2018

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network.
Neurocomputing, 2018

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Skin Lesion Segmentation via Dense Connected Deconvolutional Network.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images.
IEEE Trans. Medical Imaging, 2017

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images.
IEEE Trans. Medical Imaging, 2017

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks.
IEEE Trans. Cybern., 2017

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.
IEEE Trans. Cybern., 2017

Automatic cystocele severity grading in transperineal ultrasound by random forest regression.
Pattern Recognit., 2017

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration.
IEEE Trans. Medical Imaging, 2016

MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization.
Medical Biol. Eng. Comput., 2016

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Segmenting overlapping cervical cell in Pap smear images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Deep Contextual Networks for Neuronal Structure Segmentation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2013
Compare the Application of Two Different b-Value in Diffusion Weighted Imaged to Signal Differences on 3T MRI.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

Boundary Delineation of Breast Lesions in Series of 2D Sonography by Modeling the Spatial-Temporal Prior and Cell-Based MAP Approach.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

2012
Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques.
IEEE Trans. Medical Imaging, 2012

Identification of breast vascular calcium deposition in digital mammography by linear structure analysis.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Cluster-dependent feature selection by multiple kernel self-organizing map.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Automated DNA fiber tracking and measurement.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Spectral Aggregation Based on Iterative Graph Cut for Sonographic Breast Image Segmentation.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Cell-based graph cut for segmentation of 2D/3D sonographic breast images.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Detection of Arterial Calcification in Mammograms by Random Walks.
Proceedings of the Information Processing in Medical Imaging, 2009

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008


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