Jicong Zhang
Orcid: 0000-0002-3325-5371
According to our database1,
Jicong Zhang
authored at least 47 papers
between 2010 and 2024.
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Bibliography
2024
Int. J. Comput. Vis., October, 2024
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation.
Comput. Biol. Medicine, February, 2024
Comput. Biol. Medicine, January, 2024
Relationships between brain structure-function coupling in normal aging and cognition: A cross-ethnicity population-based study.
NeuroImage, 2024
Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders.
Int. J. Crowd Sci., 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
2023
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.
Artif. Intell. Medicine, 2023
Corrections to "S-UNet: A Bridge-Style U-Net Framework With a Saliency Mechanism for Retinal Vessel Segmentation".
IEEE Access, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fusing Joint Features of Eeg Brain Functional Connectivity Networks for Anxiety Recognition.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images.
IEEE J. Biomed. Health Informatics, 2022
Multi-Scale Interactive Network With Artery/Vein Discriminator for Retinal Vessel Classification.
IEEE J. Biomed. Health Informatics, 2022
Latent Style: multi-style image transfer via latent style coding and skip connection.
Signal Image Video Process., 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation.
CoRR, 2022
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images.
CoRR, 2022
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions.
Comput. Medical Imaging Graph., 2022
CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images.
Comput. Biol. Medicine, 2022
I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Transfer Learning and Image Augmentation Method for Carotid Artery Vulnerable Plaque Segmentation in Ultrasound Images.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022
2021
Exploiting Shared Knowledge From Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation.
IEEE J. Biomed. Health Informatics, 2021
Neurocomputing, 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation.
CoRR, 2021
CoRR, 2021
SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography.
Complex., 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Enhanced Connectivity and Reduced Mind Wandering after Tactile Training in Young Adults.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Fourteenth International Conference on Machine Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study.
CoRR, 2020
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography.
Comput. Medical Imaging Graph., 2020
Convolutional-Neural-Network-Based Approach for Segmentation of Apical Four-Chamber View from Fetal Echocardiography.
IEEE Access, 2020
Biomarkers for Prediction of Schizophrenia: Insights From Resting-State EEG Microstates.
IEEE Access, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Histopathologic Cancer Detection by Dense-Attention Network with Incorporation of Prior Knowledge.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
MEG Signal Reconstruction via Low-Rank Matrix Recovery for Source Imaging in Simulations.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019
Haptics-mediated approaches for enhancing sustained attention: framework and challenges.
Sci. China Inf. Sci., 2019
S-UNet: A Bridge-Style U-Net Framework With a Saliency Mechanism for Retinal Vessel Segmentation.
IEEE Access, 2019
2018
NeuroImage, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Deep Source Localization with Magnetoencephalography Based on Sensor Array Decomposition and Beamforming.
Sensors, 2017
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017
2010
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010