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05/15/2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Protein-protein interactions (PPIs) are crucial in various biological pr...
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05/11/2023
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Domain shift and label scarcity heavily limit deep learning applications...
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12/05/2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
While deep learning methods hitherto have achieved considerable success ...
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07/05/2022
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
While deep models have shown promising performance in medical image segm...
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07/05/2022
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
With large-scale well-labeled datasets, deep learning has shown signific...
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05/22/2022
Residual Channel Attention Network for Brain Glioma Segmentation
A glioma is a malignant brain tumor that seriously affects cognitive fun...
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05/22/2022
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling
Intracranial arteries are critical blood vessels that supply the brain w...
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05/14/2022
Object-Aware Self-supervised Multi-Label Learning
Multi-label Learning on Image data has been widely exploited with deep l...
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05/14/2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Label scarcity has been a long-standing issue for biomedical image segme...
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03/31/2022
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Automated facial age estimation has diverse real-world applications in m...
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03/23/2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
The success of deep convolutional neural networks (DCNNs) benefits from ...
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08/15/2021
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Diabetic retinopathy (DR) is one of the most common eye conditions among...
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08/15/2021
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Accurate automatic liver and tumor segmentation plays a vital role in tr...
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05/21/2021
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Deep learning has achieved promising segmentation performance on 3D left...
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03/10/2021
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
With the enrichment of smartphones, driving distractions caused by phone...
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01/22/2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Image segmentation is one of the most essential biomedical image process...
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01/19/2021
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
As a new generation of Public Bicycle-sharing Systems (PBS), the dockles...
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01/19/2021
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Benefiting from convenient cycling and flexible parking locations, the D...
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11/24/2020
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
Early risk diagnosis and driving anomaly detection from vehicle stream a...
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10/29/2020
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading
Diabetes is one of the most common disease in individuals. Diabetic reti...
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05/29/2020
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
Structural damage detection has become an interdisciplinary area of inte...
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05/08/2020
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great d...
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05/08/2020
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is the most common type of primary liver ...
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05/07/2020
Multi-Target Deep Learning for Algal Detection and Classification
Water quality has a direct impact on industry, agriculture, and public h...
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05/07/2020
Deeply Supervised Active Learning for Finger Bones Segmentation
Segmentation is a prerequisite yet challenging task for medical image an...
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12/24/2019
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Is recurrent network really necessary for learning a good visual represe...
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10/09/2019
Cribriform pattern detection in prostate histopathological images using deep learning models
Architecture, size, and shape of glands are most important patterns used...
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08/24/2019
Robust Regression via Deep Negative Correlation Learning
Nonlinear regression has been extensively employed in many computer visi...
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03/12/2019
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Segmentation stands at the forefront of many high-level vision tasks. In...
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11/15/2018
Graph Convolutional Neural Networks for Polymers Property Prediction
A fast and accurate predictive tool for polymer properties is demanding ...
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11/06/2017
End-to-End Video Classification with Knowledge Graphs
Video understanding has attracted much research attention especially sin...
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06/17/2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
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05/26/2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
We present a deep learning framework for computer-aided lung cancer diag...
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03/03/2017