130 citations · 260 across the 13 of their papers we have counts for
6 papers · 1 filter
Recursive Exponential Weighting for Online Non-convex Optimization
Lin Yang, Cheng Tan, Wing Shing Wong
In this paper, we investigate the online non-convex optimization problem which generalizes the classic {online convex optimization problem by relaxing the convexity assumption on t…
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang, Fuyong Xing, Hai Su +2
The fast growing deep learning technologies have become the main solution of many machine learning problems for medical image analysis. Deep convolution neural networks (CNNs), as…
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
Zizhao Zhang, Pingjun Chen, Manish Sapkota +1
In this paper, we introduce the semantic knowledge of medical images from their diagnostic reports to provide an inspirational network training and an interpretable prediction mech…
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai, Le Lu, Yuanpu Xie +2
Deep neural networks have demonstrated very promising performance on accurate segmentation of challenging organs (e.g., pancreas) in abdominal CT and MRI scans. The current deep le…
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Zizhao Zhang, Yuanpu Xie, Fuyong Xing +2
The inability to interpret the model prediction in semantically and visually meaningful ways is a well-known shortcoming of most existing computer-aided diagnosis methods. In this…
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Lin Yang, Yizhe Zhang, Jianxu Chen +2
Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation ben…