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09/17/2023
Efficient Pyramid Channel Attention Network for Pathological Myopia Detection
Pathological myopia (PM) is the leading ocular disease for impaired visi...
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09/06/2023
Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses
Recently, utilizing deep neural networks to build the opendomain dialogu...
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09/02/2023
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Fundus photography is prone to suffer from image quality degradation tha...
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08/29/2023
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation
Given the prevalence of rolling bearing fault diagnosis as a practical i...
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07/18/2023
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
The annotation scarcity of medical image segmentation poses challenges i...
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07/02/2023
Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks
Fault diagnosis of rolling bearings is of great significance for post-ma...
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06/16/2023
Label-noise-tolerant medical image classification via self-attention and self-supervised learning
Deep neural networks (DNNs) have been widely applied in medical image cl...
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06/10/2023
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
This paper explores the task of radiology report generation, which aims ...
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06/06/2023
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
Few-shot named entity recognition (NER) exploits limited annotated insta...
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05/30/2023
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
Robust and accurate segmentation for elongated physiological structures ...
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05/23/2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
The increasingly pervasive facial recognition (FR) systems raise serious...
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05/22/2023
Attribute-Guided Encryption with Facial Texture Masking
The increasingly pervasive facial recognition (FR) systems raise serious...
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04/26/2023
Learnable Ophthalmology SAM
Segmentation is vital for ophthalmology image analysis. But its various ...
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04/25/2023
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Deep neural networks (DNNs) have promoted the development of computer ai...
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03/03/2023
PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification
Spatial attention mechanism has been widely incorporated into deep convo...
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02/14/2023
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
In this work, instead of directly predicting the pixel-level segmentatio...
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11/17/2022
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module
Hard exudates (HE) is the most specific biomarker for retina edema. Prec...
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11/01/2022
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags
So far, discontinuous named entity recognition (NER) has received increa...
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10/18/2022
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
As an economical and efficient fundus imaging modality, retinal fundus i...
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08/23/2022
Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning
Automated detection of retinal structures, such as retinal vessels (RV),...
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07/28/2022
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image
Vascular segmentation extracts blood vessels from images and serves as t...
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06/23/2022
Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
Radiation encephalopathy (REP) is the most common complication for nasop...
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06/09/2022
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
Fundus photography is a routine examination in clinics to diagnose and m...
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06/07/2022
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans
In the management of lung nodules, we are desirable to predict nodule ev...
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05/25/2022
Structure Unbiased Adversarial Model for Medical Image Segmentation
Generative models have been widely proposed in image recognition to gene...
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04/28/2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Multi-contrast magnetic resonance imaging (MRI) is widely used in clinic...
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03/15/2022
An Annotation-free Restoration Network for Cataractous Fundus Images
Cataracts are the leading cause of vision loss worldwide. Restoration al...
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02/10/2022
Deep Learning for Computational Cytology: A Survey
Computational cytology is a critical, rapid-developing, yet challenging ...
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12/19/2021
Unified Named Entity Recognition as Word-Word Relation Classification
So far, named entity recognition (NER) has been involved with three majo...
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12/12/2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Adversarial training (AT) is considered to be one of the most reliable d...
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12/09/2021
Mutual Adversarial Training: Learning together is better than going alone
Recent studies have shown that robustness to adversarial attacks can be ...
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12/08/2021
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Object detection plays a key role in many security-critical systems. Adv...
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11/24/2021
Spatial-context-aware deep neural network for multi-class image classification
Multi-label image classification is a fundamental but challenging task i...
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10/05/2021
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Anomaly detection in medical images refers to the identification of abno...
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05/26/2021
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Chest X-rays are the most commonly available and affordable radiological...
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05/19/2021
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval
When encountering a dubious diagnostic case, medical instance retrieval ...
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02/26/2021
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
Optical Coherence Tomography Angiography (OCTA) has been increasingly us...
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01/29/2021
Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Deep hashing methods have been shown to be the most efficient approximat...
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12/09/2020
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Cataract is one of the leading causes of reversible visual impairment an...
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12/07/2020
Attention-based Saliency Hashing for Ophthalmic Image Retrieval
Deep hashing methods have been proved to be effective for the large-scal...
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12/07/2020
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
Latent Factor Model (LFM) is one of the most successful methods for Coll...
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10/15/2020
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Automated detection of curvilinear structures, e.g., blood vessels or ne...
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08/09/2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Anomaly detection in retinal image refers to the identification of abnor...
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07/10/2020
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imagi...
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06/09/2020
Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences
Anterior chamber angle (ACA) classification is a key step in the diagnos...
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06/09/2020
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
Precise characterization and analysis of iris shape from Anterior Segmen...
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05/15/2020
Beamforming Through Reconfigurable Intelligent Surfaces in Single-User MIMO Systems: SNR Distribution and Scaling Laws in the Presence of Channel Fading and Phase Noise
We consider a fading channel in which a multi-antenna transmitter commun...
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05/05/2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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01/31/2020
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
Unlike the constraint frontal face condition, faces in the wild have var...
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01/15/2020
