Zhicheng Jiao
Orcid: 0000-0002-6968-0919
According to our database1,
Zhicheng Jiao
authored at least 65 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.
IEEE J. Biomed. Health Informatics, June, 2024
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024
Brain-driven facial image reconstruction via StyleGAN inversion with improved identity consistency.
Pattern Recognit., 2024
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.
CoRR, 2024
CoRR, 2024
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.
CoRR, 2024
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation.
CoRR, 2024
CoRR, 2024
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
2023
Reconstructing controllable faces from brain activity with hierarchical multiview representations.
Neural Networks, September, 2023
IEEE J. Biomed. Health Informatics, August, 2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
IEEE Trans. Image Process., 2023
J. Imaging Inform. Medicine, 2023
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.
CoRR, 2023
CoRR, 2023
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
IEEE Trans. Multim., 2022
Pattern Recognit., 2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
Discriminative error prediction network for semi-supervised colon gland segmentation.
Medical Image Anal., 2022
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Medical Image Anal., 2022
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.
Neurocomputing, 2022
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation.
CoRR, 2022
Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Pattern Recognit., 2021
Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning.
NeuroImage, 2021
Neurocomputing, 2021
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography.
Comput. Medical Imaging Graph., 2021
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.
IEEE Trans. Medical Imaging, 2020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
CoRR, 2020
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
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.
CoRR, 2019
Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning.
CoRR, 2019
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.
CoRR, 2019
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.
CoRR, 2019
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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.
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.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Pattern Recognit., 2018
Pattern Recognit., 2018
Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018
2017
2016
Neurocomputing, 2016
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016