35 citations · 38 across the 5 of their papers we have counts for
7 papers
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang, Hao Zheng, Jianxu Chen +3
Automatic histopathology image segmentation is crucial to disease analysis. Limited available labeled data hinders the generalizability of trained models under the fully supervised…
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
Peixian Liang, Jianxu Chen, Hao Zheng +3
The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and…
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Peixian Liang, Jianxu Chen, Pavel A. Brodskiy +6
Wing disc pouches of fruit flies are a powerful genetic model for studying physiological intercellular calcium () signals for dynamic analysis of cell signaling in organ d…
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…
Neuron Segmentation Using Deep Complete Bipartite Networks
Jianxu Chen, Sreya Banerjee, Abhinav Grama +2
In this paper, we consider the problem of automatically segmenting neuronal cells in dual-color confocal microscopy images. This problem is a key task in various quantitative analy…
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs
Xiaoming Chen, Jianxu Chen, Danny Z. Chen +1
Convolution is a fundamental operation in many applications, such as computer vision, natural language processing, image processing, etc. Recent successes of convolutional neural n…