| 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 | 564 | 2016 |
| 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 | 435 | 2017 |
| 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 | 421 | 2017 |
| 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 | 411 | 2016 |
| 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 | 298 | 2019 |
| 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 | 284 | 2012 |
| 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 | 253 | 2015 |
| 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 | 179 | 2017 |
| 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 | 160 | 2016 |
| 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 | 145 | 2018 |
| 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 | 128 | 2015 |
| 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 | 110 | 2020 |
| 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 | 110 | 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 | 106 | 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 | 102 | 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 | 102 | 2014 |
| 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 | 101 | 2020 |
| 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 | 99 | 2018 |
| 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 | 95 | 2014 |
| 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 | 65 | 2017 |
Lin YangWestlake UniversityEmail confirmado em westlake.edu.cn
