Zhicheng Jiao

Orcid: 0000-0002-6968-0919

According to our database¹, Zhicheng Jiao authored at least 54 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, February, 2024

2023

Reconstructing controllable faces from brain activity with hierarchical multiview representations.

[BibT_eX]

[DOI]

Neural Networks, September, 2023

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, August, 2023

Robust Scene Parsing by Mining Supportive Knowledge From Dataset.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

MGL: Mutual Graph Learning for Camouflaged Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.

[BibT_eX]

[DOI]

Anahita Fathi Kazerooni

Ali Nabavizadeh

Harrison X. Bai

Zhicheng Jiao

CoRR, 2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Clustering Survival Machines with Interpretable Expert Distributions.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

EFRNet: Efficient Feature Reconstructing Network for Real-Time Scene Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Collaborative boundary-aware context encoding networks for error map prediction.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Discriminative error prediction network for semi-supervised colon gland segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Zhenxi Zhang

Chunna Tian

Zhicheng Jiao

CoRR, 2022

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A dynamic multi-modal fusion network for ovarian tumor differentiation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A deep fusion framework for unlabeled data-driven tumor recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning.

[BibT_eX]

[DOI]

NeuroImage, 2021

Quality-driven deep active learning method for 3D brain MRI segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2021

Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.

[BibT_eX]

[DOI]

Zhenyu Tang

Yuyun Xu

Lei Jin

Abudumijiti Aibaidula

IEEE Trans. Medical Imaging, 2020

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Webly-supervised learning for salient object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks.

[BibT_eX]

[DOI]

Zhicheng Jiao

Hongming Li

Yong Fan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cascade Graph Neural Networks for RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Hybrid Graph Neural Networks for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates.

[BibT_eX]

[DOI]

CoRR, 2019

Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.

[BibT_eX]

[DOI]

CoRR, 2019

A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.

[BibT_eX]

[DOI]

Abudumijiti Aibaidula

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Decoding EEG by Visual-guided Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Deep Convolutional Neural Networks for mental load classification based on EEG data.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

A parasitic metric learning net for breast mass classification based on mammography.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Deep Differential Coding for High-Resolution Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

2017

Restricting Greed in Training of Generative Adversarial Network.

[BibT_eX]

[DOI]

CoRR, 2017

2016

A deep feature based framework for breast masses classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Asymmetry Analysis with Sparse Autoencoder in Mammography.

[BibT_eX]

[DOI]

Dongxiao Yang

Ying Wang

Zhicheng Jiao

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Mammographic Mass Detection Based on Saliency with Deep Features.

[BibT_eX]

[DOI]

Yang Hu

Jie Li

Zhicheng Jiao

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Zhicheng Jiao

Timeline

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