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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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03/28/2023
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Domain shift has been a long-standing issue for medical image segmentati...
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03/18/2023
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5
We used two multimodal models for continuous valence-arousal recognition...
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03/04/2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks
A popular track of network compression approach is Quantization aware Tr...
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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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12/05/2022
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Deep learning has achieved notable success in 3D object detection with t...
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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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06/17/2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Pre-training on time series poses a unique challenge due to the potentia...
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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
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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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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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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05/08/2020
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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05/15/2019
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading
Diabetic retinopathy (DR) is a common retinal disease that leads to blin...
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03/12/2019