Fuyong Xing
Title
Cited by
Cited by
Year
Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
F Xing, L Yang
IEEE reviews in biomedical engineering 9, 234-263, 2016
2922016
Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set
X Qi, F Xing, DJ Foran, L Yang
IEEE Transactions on Biomedical Engineering 59 (3), 754-765, 2012
2362012
An Automatic Learning-Based Framework for Robust Nucleus Segmentation
F Xing, Y Xie, L Yang
IEEE transactions on medical imaging 35 (2), 550-566, 2016
2262016
Mdnet: A semantically and visually interpretable medical image diagnosis network
Z Zhang, Y Xie, F Xing, M McGough, L Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1712017
Deep learning in microscopy image analysis: A survey
F Xing, Y Xie, H Su, F Liu, L Yang
IEEE transactions on neural networks and learning systems 29 (10), 4550-4568, 2017
1312017
Beyond classification: structured regression for robust cell detection using convolutional neural network
Y Xie, F Xing, X Kong, H Su, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2015
1292015
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks
J Cai, L Lu, Z Zhang, F Xing, L Yang, Q Yin
International Conference on Medical Image Computing and Computer-Assisted …, 2016
1052016
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
J Cai, L Lu, Y Xie, F Xing, L Yang
arXiv preprint arXiv:1707.04912, 2017
832017
High-throughput histopathological image analysis via robust cell segmentation and hashing
X Zhang, F Xing, H Su, L Yang, S Zhang
Medical image analysis 26 (1), 306-315, 2015
712015
Region segmentation in histopathological breast cancer images using deep convolutional neural network
H Su, F Liu, Y Xie, F Xing, S Meyyappan, L Yang
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 55-58, 2015
712015
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders
H Su, F Xing, X Kong, Y Xie, S Zhang, L Yang
Deep Learning and Convolutional Neural Networks for Medical Image Computing …, 2017
652017
Deep voting: A robust approach toward nucleus localization in microscopy images
Y Xie, X Kong, F Xing, F Liu, H Su, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2015
652015
Automatic Ki-67 counting using robust cell detection and online dictionary learning
F Xing, H Su, J Neltner, L Yang
IEEE Transactions on Biomedical Engineering 61 (3), 859-870, 2014
652014
Robust cell detection and segmentation in histopathological images using sparse reconstruction and stacked denoising autoencoders
H Su, F Xing, X Kong, Y Xie, S Zhang, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2015
632015
Efficient and robust cell detection: A structured regression approach
Y Xie, F Xing, X Shi, X Kong, H Su, L Yang
Medical image analysis 44, 245-254, 2018
572018
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ...
Nature Machine Intelligence 1 (5), 236-245, 2019
542019
Novel image markers for non-small cell lung cancer classification and survival prediction
H Wang, F Xing, H Su, A Stromberg, L Yang
BMC Bioinformatics 15 (310), 2014
472014
Pairwise based deep ranking hashing for histopathology image classification and retrieval
X Shi, M Sapkota, F Xing, F Liu, L Cui, L Yang
Pattern Recognition 81, 14-22, 2018
422018
Kernel-Based Supervised Discrete Hashing for Image Retrieval
X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang
European Conference on Computer Vision, 419-433, 2016
412016
Content-based histopathology image retrieval using CometCloud
X Qi, D Wang, I Rodero, J Diaz-Montes, RH Gensure, F Xing, H Zhong, ...
BMC bioinformatics 15 (1), 1-17, 2014
362014
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