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Yizhe Zhang
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Suggestive annotation: A deep active learning framework for biomedical image segmentation
L Yang, Y Zhang, J Chen, S Zhang, DZ Chen
International Conference on Medical Image Computing and Computer-Assisted …, 2017
5462017
Combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation
J Chen, L Yang, Y Zhang, M Alber, DZ Chen
Advances in neural information processing systems 29, 2016
4142016
Deep adversarial networks for biomedical image segmentation utilizing unannotated images
Y Zhang, L Yang, J Chen, M Fredericksen, DP Hughes, DZ Chen
International Conference on Medical Image Computing and Computer-Assisted …, 2017
3922017
Second-order non-local attention networks for person re-identification
BN Xia, Y Gong, Y Zhang, C Poellabauer
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2282019
Three-dimensional visualization and a deep-learning model reveal complex fungal parasite networks in behaviorally manipulated ants
MA Fredericksen, Y Zhang, ML Hazen, RG Loreto, CA Mangold, DZ Chen, ...
Proceedings of the National Academy of Sciences 114 (47), 12590-12595, 2017
1042017
Inverseform: A loss function for structured boundary-aware segmentation
S Borse, Y Wang, Y Zhang, F Porikli
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
992021
CNS-native myeloid cells drive immune suppression in the brain metastatic niche through Cxcl10
IH Guldner, Q Wang, L Yang, SM Golomb, Z Zhao, JA Lopez, A Brunory, ...
Cell 183 (5), 1234-1248. e25, 2020
962020
Coarse-to-fine stacked fully convolutional nets for lymph node segmentation in ultrasound images
Y Zhang, MTC Ying, L Yang, AT Ahuja, DZ Chen
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
832016
Random faces guided sparse many-to-one encoder for pose-invariant face recognition
Y Zhang, M Shao, EK Wong, Y Fu
Proceedings of the IEEE International Conference on Computer Vision, 2416-2423, 2013
832013
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
H Zheng*, Y Zhang*, L Yang*, P Liang, Z Zhao, C Wang, DZ Chen
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 33 …, 2018
822018
Biomedical Image Segmentation via Representative Annotation
H Zheng, L Yang, J Chen, J Han, Y Zhang, P Liang, Z Zhao, C Wang, ...
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 33 …, 2019
612019
Can sam segment polyps?
T Zhou, Y Zhang, Y Zhou, Y Wu, C Gong
arXiv preprint arXiv:2304.07583, 2023
432023
3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut
L Yang, Y Zhang, IH Guldner, S Zhang, DZ Chen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
392016
Input augmentation with sam: Boosting medical image segmentation with segmentation foundation model
Y Zhang, T Zhou, S Wang, P Liang, Y Zhang, DZ Chen
International Conference on Medical Image Computing and Computer-Assisted …, 2023
382023
An annotation sparsification strategy for 3D medical image segmentation via representative selection and self-training
H Zheng, Y Zhang, L Yang, C Wang, DZ Chen
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6925-6932, 2020
362020
Boxnet: Deep learning based biomedical image segmentation using boxes only annotation
L Yang, Y Zhang, Z Zhao, H Zheng, P Liang, MTC Ying, AT Ahuja, ...
arXiv preprint arXiv:1806.00593, 2018
342018
Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation
Y Zhang, S Borse, H Cai, F Porikli
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
282022
Data-driven deep supervision for medical image segmentation
S Mishra, Y Zhang, DZ Chen, XS Hu
IEEE Transactions on Medical Imaging 41 (6), 1560-1574, 2022
262022
Automated tracking and analysis of ant trajectories shows variation in forager exploration
N Imirzian, Y Zhang, C Kurze, RG Loreto, DZ Chen, DP Hughes
Scientific reports 9 (1), 13246, 2019
262019
A cross-domain metal trace restoring network for reducing X-ray CT metal artifacts
C Peng, B Li, P Liang, J Zheng, Y Zhang, B Qiu, DZ Chen
IEEE Transactions on Medical Imaging 39 (12), 3831-3842, 2020
232020
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