Jie Liu

Orcid: 0000-0002-1327-1315

Affiliations:
  • City University of Hong Kong, Department of Electrical Engineering, Hong Kong


According to our database1, Jie Liu authored at least 39 papers between 2020 and 2024.

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Bibliography

2024
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.
IEEE Trans. Medical Imaging, December, 2024

Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images.
Int. J. Comput. Vis., December, 2024

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality.
IEEE J. Biomed. Health Informatics, May, 2024

Efficient 3D Representation Learning for Medical Image Analysis.
World Sci. Annu. Rev. Artif. Intell., 2024

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.
Medical Image Anal., 2024

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.
CoRR, 2024

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.
CoRR, 2024

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.
CoRR, 2024

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT.
Biomed. Signal Process. Control., 2024

[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification.
Comput. Medical Imaging Graph., December, 2023

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis.
Cogn. Comput., November, 2023

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion.
Comput. Biol. Medicine, November, 2023

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.
IEEE Trans. Medical Imaging, September, 2023

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.
Comput. Biol. Medicine, May, 2023

Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.
CoRR, 2023

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.
CoRR, 2023

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adjustment and Alignment for Unbiased Open Set Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge.
IEEE Trans. Medical Imaging, 2022

Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation.
IEEE J. Biomed. Health Informatics, 2022

GNAS-U<sup>2</sup>Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search.
IEEE Signal Process. Lett., 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.
Medical Image Anal., 2022

Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease.
BMC Medical Imaging, 2022

Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Unknown-Oriented Learning for Open Set Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification.
Neurocomputing, 2021

Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images.
Int. J. Comput. Assist. Radiol. Surg., 2021

Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020


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