Ke Zou

Orcid: 0000-0002-2025-9859

According to our database1, Ke Zou authored at least 61 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow.
Inf. Fusion, 2026

2025
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis.
CoRR, August, 2025

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning.
CoRR, July, 2025

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices.
IEEE Trans. Medical Imaging, April, 2025

Reliable Federated Disentangling Network for Non-IID Domain Feature.
IEEE Trans. Big Data, April, 2025

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025

Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items.
CoRR, April, 2025

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering.
CoRR, March, 2025

FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation.
CoRR, March, 2025

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?
CoRR, February, 2025

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study.
CoRR, January, 2025

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR, January, 2025

Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes.
Comput. Medical Imaging Graph., 2025

Dual degradation image inpainting method via adaptive feature fusion and U-net network.
Appl. Soft Comput., 2025

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024
GCAM: lightweight image inpainting via group convolution and attention mechanism.
Int. J. Mach. Learn. Cybern., May, 2024

MFFN: image super-resolution via multi-level features fusion network.
Vis. Comput., February, 2024

MFMAM: Image inpainting via multi-scale feature module with attention module.
Comput. Vis. Image Underst., January, 2024

New Mesh Configurations With Decentralized Droop Control Method for DC Microgrids.
IEEE Trans. Ind. Electron., 2024

Confidence-aware multi-modality learning for eye disease screening.
Medical Image Anal., 2024

MICU: Image super-resolution via multi-level information compensation and U-net.
Expert Syst. Appl., 2024

Image inpainting algorithm based on inference attention module and two-stage network.
Eng. Appl. Artif. Intell., 2024

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis.
CoRR, 2024

MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM.
CoRR, 2024

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images.
CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024

MedRG: Medical Report Grounding with Multi-modal Large Language Model.
CoRR, 2024

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices.
CoRR, 2024

DNNAM: Image inpainting algorithm via deep neural networks and attention mechanism.
Appl. Soft Comput., 2024

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
DGCA: high resolution image inpainting via DR-GAN and contextual attention.
Multim. Tools Appl., December, 2023

RNON: image inpainting via repair network and optimization network.
Int. J. Mach. Learn. Cybern., September, 2023

DARGS: Image inpainting algorithm via deep attention residuals group and semantics.
J. King Saud Univ. Comput. Inf. Sci., June, 2023

Corrigendum to "FFTI: Image inpainting algorithm via features fusion and two-steps inpainting" [J. Visual Commun. Image Represent. 91 (2023) 103776].
J. Vis. Commun. Image Represent., May, 2023

FFTI: Image inpainting algorithm via features fusion and two-steps inpainting.
J. Vis. Commun. Image Represent., March, 2023

A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis.
CoRR, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR, 2023

A Review of Uncertainty Estimation and its Application in Medical Imaging.
CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.
CoRR, 2023

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap.
CoRR, 2023

Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
An interactive dual-branch network for hard palate segmentation of the oral cavity from CBCT images.
Appl. Soft Comput., 2022

TBraTS: Trusted Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
An Active Voltage Stabilizer for a DC Microgrid System.
IEEE Access, 2021

2020
Robust sensor fusion with heavy-tailed noises.
Signal Process., 2020

Track-to-Track Association for Intelligent Vehicles by Preserving Local Track Geometry.
Sensors, 2020

A Methodology for Seamless Hot-Swap of Converters in DC Microgrids.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving.
Sensors, 2019

A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration.
Sensors, 2019

Non-rigid Image Feature Matching by Structure Constraints.
Proceedings of the 22th International Conference on Information Fusion, 2019

An Noninvasive and Impedance-Ignored Control Strategy of the Ablation Zone in Radiofrequency Ablation Therapy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Vehicle Tracking at Nighttime by Kernelized Experts With Channel-Wise and Temporal Reliability Estimation.
IEEE Trans. Intell. Transp. Syst., 2018

Distributed Evidential EM Algorithm for Gaussian Mixtures in Sensor Network with Uncertain Data.
Proceedings of the 21st International Conference on Information Fusion, 2018

2016
A distributed range-free correction vector based localization refinement algorithm.
Wirel. Networks, 2016

2012
Insect-inspired high-speed motion vision system for robot control.
Biol. Cybern., 2012

2010
Intelligent sensor design in network based automatic control.
Proceedings of the International Joint Conference on Neural Networks, 2010


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