Xinxing Xu

发表

Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study

Ching-Yu Cheng, Yih-Chung Tham, Yixing Jiang, 2022, Frontiers in Medicine.

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks

Jocelyn Hui Lin Goh, H. Fu, Ching-Yu Cheng, 2022, OMIA@MICCAI.

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis

Joey Tianyi Zhou, Y. Liu, H. Fu, 2022, Medical Image Anal..

From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning

Ching-Yu Cheng, Yih-Chung Tham, Yong Liu, 2023, PLOS digital health.

Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities

T. Y. Wong, N. Newman, D. Ting, 2023, Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society.

Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs

Raymond P. Najjar, N. Newman, T. Wong, 2021, Neurology.

Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.

J. Jonas, T. Wong, V. Nangia, 2021, The Lancet. Digital health.

Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Y. Liu, E. Agrón, J. Jonas, 2022, Ophthalmology.

Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

Jocelyn Hui Lin Goh, P. Mitchell, J. Jonas, 2021, The Lancet. Digital health.

Detecting visually significant cataract using retinal photograph-based deep learning

Jocelyn Hui Lin Goh, P. Mitchell, J. Jonas, 2022, Nature Aging.

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification

Y. Liu, Weifang Zhu, Xinjian Chen, 2023, ArXiv.

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature

M. Wang, Yong Liu, H. Fu, 2023, ArXiv.

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images

H. Fu, Yong Liu, R. Goh, 2022, arXiv.org.

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Yong Liu, H. Fu, R. Goh, 2023, ArXiv.

Medical Image Segmentation using Squeeze-and-Expansion Transformers pdf

Xiuchao Sui, Xiangde Luo, Rick Siow Mong Goh, 2021, IJCAI.

Learning Federated Visual Prompt in Null Space for MRI Reconstruction

W. Zuo, H. Fu, Xinxing Xu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment

Haidar A. Almubarak, Y. Bazi, H. Fu, 2022, ArXiv.

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Lionel T. E. Cheng, C. Thng, H. Fu, 2023, MICCAI.

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Yong Liu, R. Goh, Hongyuan Zhu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Few-Shot Domain Adaptation with Polymorphic Transformers pdf

Huazhu Fu, Xiuchao Sui, Daniel Ting, 2021, MICCAI.

Partially-Supervised Learning for Vessel Segmentation in Ocular Images

Lei Jin, Daniel Shu Wei Ting, Rick Siow Mong Goh, 2021, MICCAI.

REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Haidar A. Almubarak, Y. Bazi, H. Fu, 2022, 2202.08994.

Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs

J. Sim, C. Tan, S. Teo, 2022, Healthcare.

Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs

Y. Liu, Shaohua Li, Liangli Zhen, 2023, Diagnostics.

Deep learning-based quantification of anterior segment optical coherence tomography parameters

Y. Liu, Ching-Yu Cheng, T. Aung, 2023, Ophthalmology Science.

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer

H. Fu, Yong Liu, R. Goh, 2022, OMIA@MICCAI.

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images

Joey Tianyi Zhou, Liangli Zhen, J. Sim, 2021, IEEE Journal of Biomedical and Health Informatics.

Uncertainty-inspired open set learning for retinal anomaly identification

Y. Liu, Weifang Zhu, Xinjian Chen, 2023, Nature communications.

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images

H. Fu, Yong Liu, R. Goh, 2022, ArXiv.

Airfoil Inverse Design using Conditional Generative Adversarial Networks

M. Dao, Xinxing Xu, Yong Liu, 2022, 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks

M. Dao, Xinxing Xu, Yong Liu, 2022, Appl. Soft Comput..

Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning

Jocelyn Hui Lin Goh, J. Jonas, E. Chew, 2022, Nature Aging.

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning

R. Goh, Xinxing Xu, Wangmeng Zuo, 2024, 2401.01598.

Reliable Federated Disentangling Network for Non-IID Domain Feature

M. Wang, Yong Liu, H. Fu, 2023, 2301.12798.

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering

R. Goh, Xinxing Xu, Wangmeng Zuo, 2023, ArXiv.

Sentence-level Prompts Benefit Composed Image Retrieval

R. Goh, Xinxing Xu, Salman A. Khan, 2023, ArXiv.

Privacy-preserving continual learning methods for medical image classification: a comparative analysis

Benjamin Chen Ming Choong, Xinxing Xu, Yong Liu, 2023, Frontiers in medicine.

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis

R. Goh, Xinxing Xu, Zizhou Wang, 2024, IEEE Transactions on Medical Imaging.

Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

Yih-Chung Tham, Xinxing Xu, Xiaofeng Lei, 2024, Ophthalmology Science.

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction

Xinxing Xu, LinhLe Dinh, Tanvi Verma, 2024, AAAI.