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Fuyong Xing
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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
5322016
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
4042017
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
3962016
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
3862017
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
2792012
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
2632019
Beyond classification: structured regression for robust cell detection using convolutional neural network
Y Xie, F Xing, X Kong, H Su, L Yang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
2412015
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
1702017
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
1562016
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
1382018
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
1252015
Deep voting: A robust approach toward nucleus localization in microscopy images
Y Xie, X Kong, F Xing, F Liu, H Su, L Yang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
1092015
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
1042017
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
1002014
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
992015
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
972018
Loss-Based Attention for Deep Multiple Instance Learning
X Shi, F Xing, Y Xie, Z Zhang, L Cui, L Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5742-5749, 2020
942020
Assessment of a machine learning model applied to harmonized electronic health record data for the prediction of incident atrial fibrillation
P Tiwari, KL Colborn, DE Smith, F Xing, D Ghosh, MA Rosenberg
JAMA network open 3 (1), e1919396-e1919396, 2020
922020
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
892014
Review of deep learning methods in mammography, cardiovascular, and microscopy image analysis
G Carneiro, Y Zheng, F Xing, L Yang
Deep Learning and Convolutional Neural Networks for Medical Image Computing …, 2017
622017
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