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Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Taxonomy is a hierarchically structured knowledge graph that plays a cru...
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Ensembled ResUnet for Anatomical Brain Barriers Segmentation
Accuracy segmentation of brain structures could be helpful for glioma an...
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A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Deep neural networks (DNNs) for medical images are extremely vulnerable ...
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RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System
Federated Learning (FL) is an emerging decentralized artificial intellig...
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An Industry Evaluation of Embedding-based Entity Alignment
Embedding-based entity alignment has been widely investigated in recent ...
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Finding Influential Instances for Distantly Supervised Relation Extraction
Distant supervision has been demonstrated to be highly beneficial to enh...
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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
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Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Counterfactual learning for dealing with missing-not-at-random data (MNA...
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TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
Retinal artery/vein (A/V) classification lays the foundation for the qua...
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Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Medical images are generally labeled by multiple experts before the fina...
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Learning Crisp Edge Detector Using Logical Refinement Network
Edge detection is a fundamental problem in different computer vision tas...
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Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Recently, deep learning has been adopted to the glaucoma classification ...
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Instance-aware Self-supervised Learning for Nuclei Segmentation
Due to the wide existence and large morphological variances of nuclei, a...
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MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
Domain shift between medical images from multicentres is still an open q...
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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
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Deep Image Clustering with Category-Style Representation
Deep clustering which adopts deep neural networks to obtain optimal repr...
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Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
Medical image analysis benefits Computer Aided Diagnosis (CADx). A funda...
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GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
The automatic grading of diabetic retinopathy (DR) facilitates medical d...
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Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation
Witnessing the success of deep learning neural networks in natural image...
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Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Retinal artery/vein (A/V) classification plays a critical role in the cl...
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Superpixel-Guided Label Softening for Medical Image Segmentation
Segmentation of objects of interest is one of the central tasks in medic...
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Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Deep learning highly relies on the quantity of annotated data. However, ...
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Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
In deep learning era, pretrained models play an important role in medica...
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Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
Deep neural network-based medical image classifications often use "hard"...
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Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift
Deep convolutional neural networks (DCNNs) have contributed many breakth...
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Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
Magnetic Resonance (MR) images of different modalities can provide compl...
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Generative Adversarial Networks for Video-to-Video Domain Adaptation
Endoscopic videos from multicentres often have different imaging conditi...
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Quality Control of Neuron Reconstruction Based on Deep Learning
Neuron reconstruction is essential to generate exquisite neuron connecti...
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LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
We introduce a one-shot segmentation method to alleviate the burden of m...
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Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks
Primary angle-closure disease (PACD) is a severe retinal disease, which ...
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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Witnessed the development of deep learning, increasing number of studies...
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Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images
Automatic and accurate segmentation for retinal and choroidal layers of ...
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Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence
Breast lesion detection in ultrasound video is critical for computer-aid...
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Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster
Accurate lesion detection in computer tomography (CT) slices benefits pa...
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A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage
Computer-aided diagnosis (CADx) systems have been shown to assist radiol...
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OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Deep learning models, such as the fully convolutional network (FCN), hav...
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X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Computed tomography (CT) can provide a 3D view of the patient's internal...
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TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos
With superiorities on low cost, portability, and free of radiation, echo...
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Med3D: Transfer Learning for 3D Medical Image Analysis
The performance on deep learning is significantly affected by volume of ...
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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation
Accurately segmenting left atrium in MR volume can benefit the ablation ...
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When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Semi-Supervised Learning (SSL) has been proved to be an effective way to...
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Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
Unlike a conventional background inpainting approach that infers a missi...
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Simultaneous segmentation of multiple organs from different medical imag...
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Select, Attend, and Transfer: Light, Learnable Skip Connections
Skip connections in deep networks have improved both segmentation and cl...
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Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Synthesized medical images have several important applications, e.g., as...
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A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
We propose a fully-automated method for accurate and robust detection an...
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Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
Accurate detection and segmentation of anatomical structures from ultras...
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