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 | 354 | 2015 |
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 | 323 | 2017 |
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 | 318 | 2018 |
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 | 317 | 2017 |
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 | 216 | 2015 |
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 | 200 | 2019 |
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 | 153 | 2017 |
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 | 122 | 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 | 114 | 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 | 101 | 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 94 | 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 | 82 | 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 | 52 | 2016 |
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 | 48 | 2020 |
Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks J Cai, L Lu, Y Xie, F Xing, L Yang Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 35 | 2017 |
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 | 33 | 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 | 21 | 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), 1-16, 2019 | 20 | 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 | 19 | 2015 |
Privacy-preserving recommender systems challenge on Twitter’s home timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 14 | 2020 |