Yixuan Yuan

Orcid: 0000-0002-0853-6948

According to our database1, Yixuan Yuan authored at least 232 papers between 2010 and 2025.

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Bibliography

2025
LLM-Guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis.
IEEE Trans. Medical Imaging, August, 2025

Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making.
CoRR, August, 2025

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy.
CoRR, August, 2025

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.
CoRR, August, 2025

Adaptive Cluster Collaborativeness Boosts LLMs Medical Decision Support Capacity.
CoRR, July, 2025

EndoGen: Conditional Autoregressive Endoscopic Video Generation.
CoRR, July, 2025

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping.
CoRR, July, 2025

Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures.
CoRR, July, 2025

Foundation Model-Guided Gaussian Splatting for 4D Reconstruction of Deformable Tissues.
IEEE Trans. Medical Imaging, June, 2025

Fuzzy Multivariate Variational Mode Decomposition With Applications in EEG Analysis.
IEEE Trans. Fuzzy Syst., June, 2025

Relation-Guided Versatile Regularization for Federated Semi-Supervised Learning.
Int. J. Comput. Vis., June, 2025

Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions.
CoRR, June, 2025

RadFabric: Agentic AI System with Reasoning Capability for Radiology.
CoRR, June, 2025

Voxel-Level Brain States Prediction Using Swin Transformer.
CoRR, June, 2025

Towards a general-purpose foundation model for fMRI analysis.
CoRR, June, 2025

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.
IEEE J. Biomed. Health Informatics, May, 2025

TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching.
CoRR, May, 2025

A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis.
CoRR, May, 2025

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography.
CoRR, May, 2025

DEeR: Deviation Eliminating and Noise Regulating for Privacy-Preserving Federated Low-Rank Adaptation.
IEEE Trans. Medical Imaging, April, 2025

Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions.
CoRR, April, 2025

Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.
Int. J. Comput. Vis., March, 2025

Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation.
CoRR, March, 2025

DSPFusion: Image Fusion via Degradation and Semantic Dual-Prior Guidance.
CoRR, March, 2025

X<sup>2</sup>-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction.
CoRR, March, 2025

GeoT: Geometry-guided Instance-dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation.
CoRR, March, 2025

MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways.
CoRR, March, 2025

CREATE-FFPE: Cross-Resolution Compensated and Multi-Frequency Enhanced FS-to-FFPE Stain Transfer for Intraoperative IHC Images.
CoRR, March, 2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?
CoRR, February, 2025

Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion.
CoRR, January, 2025

Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT.
IEEE Trans. Computational Imaging, 2025

Fast Finite Time Stability in Probability of p-Norm Stochastic Nonlinear Systems With Mismatched Uncertainties and Dead-Zone.
IEEE Trans Autom. Sci. Eng., 2025

ParetoSSL: Pareto Semi-Supervised Learning With Bias-Aware Gradient Preferences for Fruit Yield Estimation.
IEEE Trans Autom. Sci. Eng., 2025

FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning.
Medical Image Anal., 2025

Contrastive machine learning reveals species -shared and -specific brain functional architecture.
Medical Image Anal., 2025

UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images.
Medical Image Anal., 2025

One-Shot Tumour Synthesis for PET-CT Imaging.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

GeoT: Geometry-Guided Instance-Dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2025

InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
MCPL: Multi-Modal Collaborative Prompt Learning for Medical Vision-Language Model.
IEEE Trans. Medical Imaging, December, 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

CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting.
IEEE Trans Autom. Sci. Eng., October, 2024

Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization.
IEEE Trans. Medical Imaging, June, 2024

A Heterogeneous Group CNN for Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis.
IEEE Trans. Medical Imaging, May, 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

A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks.
Int. J. Comput. Vis., May, 2024

MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction.
IEEE CAA J. Autom. Sinica, May, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

More Than Lightening: A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations.
IEEE CAA J. Autom. Sinica, March, 2024

Practically Fast Finite-Time Stability in the Mean Square of Stochastic Nonlinear Systems: Application to One-Link Manipulator.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration.
IEEE Trans. Medical Imaging, January, 2024

Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.
Medical Image Anal., January, 2024

Algorithm for Detection of Convulsive Seizures in Severe Encephalitis Based on Multiscale Compressed Shapelets.
IEEE Trans. Instrum. Meas., 2024

Global and multi-partition local network analysis of scalp EEG in West syndrome before and after treatment.
Neural Networks, 2024

Causal Disentanglement Domain Generalization for time-series signal fault diagnosis.
Neural Networks, 2024

Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation.
Medical Image Anal., 2024

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

Mask-aware transformer with structure invariant loss for CT translation.
Medical Image Anal., 2024

A Novel Seizure Detection Method Based on the Feature Fusion of Multimodal Physiological Signals.
IEEE Internet Things J., 2024

Dynamic Attribute-guided Few-shot Open-set Network for medical image diagnosis.
Expert Syst. Appl., 2024

LoCo: Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation.
CoRR, 2024

AutoPET Challenge: Tumour Synthesis for Data Augmentation.
CoRR, 2024

SvANet: A Scale-variant Attention-based Network for Small Medical Object Segmentation.
CoRR, 2024

GaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting.
CoRR, 2024

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

Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis.
CoRR, 2024

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
CoRR, 2024

Endora: Video Generation Models as Endoscopy Simulators.
CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
CoRR, 2024

EndoGaussian: Gaussian Splatting for Deformable Surgical Scene Reconstruction.
CoRR, 2024

Algorithm for drowsiness detection based on hybrid brain network parameter optimization.
Biomed. Signal Process. Control., 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

<i>P<sup>2</sup>SAM: </i> Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

fTSPL: Enhancing Brain Analysis with FMRI-Text Synergistic Prompt Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

GBT: Geometric-Oriented Brain Transformer for Autism Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LGS: A Light-Weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext]Endora: Video Generation Models as Endoscopy Simulators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Practically Fast Finite-Time Stability in the Mean Square of Stochastic Nonlinear Systems with Dead-Zone.
Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2024

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation.
Proceedings of the Computer Vision - ECCV 2024, 2024

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

PV-SSM: Exploring Pure Visual State Space Model for High-dimensional Medical Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

Medical federated learning with joint graph purification for noisy label learning.
Medical Image Anal., December, 2023

Dynamic feature splicing for few-shot rare disease diagnosis.
Medical Image Anal., December, 2023

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation.
Int. J. Comput. Vis., December, 2023

Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks.
Int. J. Comput. Vis., December, 2023

Applications to the dynamics of the suspension system of fast finite time stability in probability of p-norm stochastic nonlinear systems.
Appl. Math. Comput., November, 2023

Self-Supervised Interactive Embedding for One-Shot Organ Segmentation.
IEEE Trans. Biomed. Eng., October, 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

Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.
Medical Image Anal., August, 2023

SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.
IEEE Trans. Medical Imaging, June, 2023

GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis.
Eng. Appl. Artif. Intell., March, 2023

SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection.
IEEE Trans. Multim., 2023

Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification.
IEEE Trans. Medical Imaging, 2023

Fine-Grained Image-Text Alignment in Medical Imaging Enables Cyclic Image-Report Generation.
CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.
CoRR, 2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

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

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR, 2023

Bidirectional Propagation for Cross-Modal 3D Object Detection.
CoRR, 2023

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transferability-Guided Multi-source Model Adaptation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2023

FedPD: Federated Open Set Recognition with Parameter Disentanglement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics.
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

Novel Scenes & Classes: Towards Adaptive Open-set Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Semantic-guided Unknown-aware Rare Disease Diagnosis System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
D<sup>2</sup>-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, 2022

A Source-Free Domain Adaptive Polyp Detection Framework With Style Diversification Flow.
IEEE Trans. Medical Imaging, 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

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.
IEEE Trans. Medical Imaging, 2022

Dynamic Depth-Aware Network for Endoscopy Super-Resolution.
IEEE J. Biomed. Health Informatics, 2022

Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Image super-resolution with an enhanced group convolutional neural network.
Neural Networks, 2022

Source free domain adaptation for medical image segmentation with fourier style mining.
Medical Image Anal., 2022

Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.
Medical Image Anal., 2022

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

Fast finite time stability of stochastic nonlinear systems.
J. Frankl. Inst., 2022

A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks.
CoRR, 2022

Gaze-based attention to improve the classification of lung diseases.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Intervention & Interaction Federated Abnormality Detection with Noisy Clients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Robust Adaptive Object Detection under Noisy Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images.
IEEE Trans. Medical Imaging, 2021

Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation.
IEEE Trans. Medical Imaging, 2021

Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction.
IEEE Trans. Medical Imaging, 2021

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.
IEEE J. Biomed. Health Informatics, 2021

HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection.
IEEE Trans. Image Process., 2021

Ground-Aware Monocular 3D Object Detection for Autonomous Driving.
IEEE Robotics Autom. Lett., 2021

Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images.
Medical Image Anal., 2021

Dynamic-weighting hierarchical segmentation network for medical images.
Medical Image Anal., 2021

Exploring Gradient Flow Based Saliency for DNN Model Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning.
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 tracking for microrobot with active magnetic sensor array.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021




MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification.
IEEE Trans. Medical Imaging, 2020

Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition.
IEEE Trans Autom. Sci. Eng., 2020

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng., 2020

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE, 2020

Semi-supervised WCE image classification with adaptive aggregated attention.
Medical Image Anal., 2020

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation.
Neurocomputing, 2020

Contour-aware multi-label chest X-ray organ segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2020

Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Dynamic Convolutions for Multi-modal 3D MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.
IEEE J. Biomed. Health Informatics, 2019

Models for multiple attribute decision making with picture fuzzy information.
J. Intell. Fuzzy Syst., 2019

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.
Comput. Electr. Eng., 2019

Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Automatic Polyp Detection via a Novel Unified Bottom-Up and Top-Down Saliency Approach.
IEEE J. Biomed. Health Informatics, 2018

Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification.
IEEE Trans. Cybern., 2018

RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
WCE Abnormality Detection Based on Saliency and Adaptive Locality-Constrained Linear Coding.
IEEE Trans Autom. Sci. Eng., 2017

Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video.
IEEE J. Biomed. Health Informatics, 2016

Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images.
IEEE Trans Autom. Sci. Eng., 2016

A novel global and local saliency coding method for polyp recognition in WCE videos.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis.
IEEE Trans. Medical Imaging, 2015

Automatic bleeding frame detection in the wireless capsule endoscopy images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Weighted locality-constrained linear coding for lesion classification in CT images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Hierarchical key frame extraction for wireless capsule endoscopy video based on the saliency map.
Int. J. Mechatronics Autom., 2014

A novel feature for polyp detection in wireless capsule endoscopy images.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Polyp classification based on Bag of Features and saliency in wireless capsule endoscopy.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013

Meta-Analysis of Functional Roles of DICCCOLs.
Neuroinformatics, 2013

2012
Visual analytics of brain networks.
NeuroImage, 2012

2011
Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Assessing graph models for description of brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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