| 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 | 292 | 2016 |
| 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 | 236 | 2012 |
| 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 | 226 | 2016 |
| 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 | 171 | 2017 |
| 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 | 131 | 2017 |
| 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 | 129 | 2015 |
| 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 | 105 | 2016 |
| 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 | 83 | 2017 |
| 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 | 71 | 2015 |
| 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 | 71 | 2015 |
| 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 | 65 | 2017 |
| 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 | 65 | 2015 |
| 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 | 65 | 2014 |
| 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 | 63 | 2015 |
| 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 | 57 | 2018 |
| 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 | 54 | 2019 |
| 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 | 47 | 2014 |
| 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 | 42 | 2018 |
| 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 | 41 | 2016 |
| 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 | 36 | 2014 |
Lin YangUniversity of FloridaVerified email at bme.ufl.edu
