Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling.
CoRR, June, 2025
TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation.
CoRR, May, 2025
Interactive Segmentation and Report Generation for CT Images.
CoRR, March, 2025
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models.
CoRR, March, 2025
LesionDiffusion: Towards Text-controlled General Lesion Synthesis.
CoRR, March, 2025
Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology.
CoRR, March, 2025
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation.
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CoRR, February, 2025
MedLSAM: Localize and segment anything model for 3D CT images.
Medical Image Anal., 2025
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
IEEE Trans. Medical Imaging, January, 2024
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation.
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CoRR, 2024
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
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Medical Image Anal., October, 2023
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023
MedLSAM: Localize and Segment Anything Model for 3D Medical Images.
CoRR, 2023
Efficient Subclass Segmentation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR, 2022
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention.
Neurocomputing, 2021
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021
One-shot Weakly-Supervised Segmentation in Medical Images.
CoRR, 2021
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
One-Shot Object Localization in Medical Images based on Relative Position Regression.
CoRR, 2020
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
High- and Low-Level Feature Enhancement for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
C-V2X Supported Automated Driving.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019
Predictive ridesharing based on personal mobility patterns.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Objective Evaluation Methods for Chinese Text-To-Speech Systems.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Pruning redundant synthesis units based on static and delta unit appearance frequency.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015