| 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 | 429 | 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 | 416 | 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, 2015 | 410 | 2015 |
| Photographic text-to-image synthesis with a hierarchically-nested adversarial network Z Zhang, Y Xie, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 371 | 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 | 297 | 2019 |
| 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 | 252 | 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 | 178 | 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 | 143 | 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 | 127 | 2015 |
| 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 |
| 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 | 106 | 2020 |
| 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 105 | 2015 |
| Spatial clockwork recurrent neural network for muscle perimysium segmentation Y Xie, Z Zhang, M Sapkota, L Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 97 | 2016 |
| Kernel-based supervised discrete hashing for image retrieval X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 55 | 2016 |
| Supervised graph hashing for histopathology image retrieval and classification X Shi, F Xing, KD Xu, Y Xie, H Su, L Yang Medical image analysis 42, 117-128, 2017 | 41 | 2017 |
| Model size reduction using frequency based double hashing for recommender systems C Zhang, Y Liu, Y Xie, SI Ktena, A Tejani, A Gupta, PK Myana, ... Proceedings of the 14th ACM Conference on Recommender Systems, 521-526, 2020 | 40 | 2020 |
| Towards pixel-to-pixel deep nucleus detection in microscopy images F Xing, Y Xie, X Shi, P Chen, Z Zhang, L Yang BMC bioinformatics 20, 1-16, 2019 | 27 | 2019 |
| Xiangfei Kong, Hai Su, and Lin Yang. Beyond classification: structured regression for robust cell detection using convolutional neural network Y Xie, F Xing International conference on medical image computing and computer-assisted …, 2015 | 22 | 2015 |
| RecSys 2020 challenge workshop: engagement prediction on Twitter’s home timeline VW Anelli, A Delić, G Sottocornola, J Smith, N Andrade, L Belli, ... Proceedings of the 14th ACM Conference on Recommender Systems, 623-627, 2020 | 17 | 2020 |
Lin YangWestlake UniversityПодтвержден адрес электронной почты в домене westlake.edu.cn
