88 citations · 191 across the 10 of their papers we have counts for
6 papers · 1 filter
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
Su Zhang, Yi Ding, Ziquan Wei +1
We propose an audio-visual spatial-temporal deep neural network with: (1) a visual block containing a pretrained 2D-CNN followed by a temporal convolutional network (TCN); (2) an a…
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Shumeng Li, Ziyuan Zhao, Kaixin Xu +2
Deep learning has achieved promising segmentation performance on 3D left atrium MR images. However, annotations for segmentation tasks are expensive, costly and difficult to obtain…
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Ziyuan Zhao, Zeng Zeng, Kaixin Xu +2
Image segmentation is one of the most essential biomedical image processing problems for different imaging modalities, including microscopy and X-ray in the Internet-of-Medical-Thi…
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network
Erico Tjoa, Guan Cuntai
The practical application of deep neural networks are still limited by their lack of transparency. One of the efforts to provide explanation for decisions made by artificial intell…
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
Erico Tjoa, Cuntai Guan
Post-hoc analysis is a popular category in eXplainable artificial intelligence (XAI) study. In particular, methods that generate heatmaps have been used to explain the deep neural…
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao Hu, Kang Sim, Juan Helen Zhou +2
Convolutional Neural Network (CNN) has been successfully applied on classification of both natural images and medical images but not yet been applied to differentiating patients wi…