Chenyu You
Cited by
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CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE)
C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ...
IEEE transactions on medical imaging 39 (1), 188-203, 2019
Segment anything in medical images
J Ma, Y He, F Li, L Han, C You, B Wang
Nature communications, 2023
Structurally-sensitive multi-scale deep neural network for low-dose CT denoising
C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ...
IEEE access 6, 41839-41855, 2018
SimCVD: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation
C You, Y Zhou, R Zhao, L Staib, JS Duncan
IEEE Transactions on Medical Imaging, 2022, 2022
Momentum contrastive voxel-wise representation learning for semi-supervised volumetric medical image segmentation
C You, R Zhao, L Staib, JS Duncan
In Proceedings of MICCAI 2022 (early accepted), 2021
NuSeT: A deep learning tool for reliably separating and analyzing crowded cells
L Yang, RP Ghosh, JM Franklin, S Chen, C You, RR Narayan, ...
PLoS computational biology 16 (9), e1008193, 2020
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
F Liu, C You, X Wu, S Ge, S Wang, X Sun
In Proceedings of NeurIPS 2021, 2021
Class-aware adversarial transformers for medical image segmentation
C You, R Zhao, F Liu, S Chinchali, U Topcu, L Staib, JS Duncan
In Proceedings of NeurIPS 2022, 2022
Low-dose CT via deep CNN with skip connection and network-in-network
C You, L Yang, Y Zhang, G Wang
Developments in X-Ray tomography XII 11113, 429-434, 2019
Super-resolution MRI through deep learning
Q Lyu*, C You*, H Shan, G Wang
arXiv preprint arXiv:1810.06776 (* denotes equal contribution), 2018
Super-resolution MRI and CT through GAN-CIRCLE
Q Lyu*, C You*, H Shan, Y Zhang, G Wang
Developments in X-ray tomography XII (* denotes equal contribution), 2019
Unsupervised wasserstein distance guided domain adaptation for 3d multi-domain liver segmentation
C You, J Yang, J Chapiro, JS Duncan
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
C You, N Chen, Y Zou
In Findings of EMNLP 2021, 2021
Bootstrapping semi-supervised medical image segmentation with anatomical-aware contrastive distillation
C You, W Dai, L Staib, JS Duncan
International Conference on Information Processing in Medical Imaging (IPMI …, 2022
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE
I Guha, SA Nadeem, C You, X Zhang, SM Levy, G Wang, JC Torner, ...
Proceedings of SPIE--the International Society for Optical Engineering 11317, 2020
Kergnns: Interpretable graph neural networks with graph kernels
A Feng, C You, S Wang, L Tassiulas
Proceedings of the AAAI conference on artificial intelligence 36 (6), 6614-6622, 2022
Undistillable: Making A Nasty Teacher That CANNOT teach students
H Ma, T Chen, TK Hu, C You, X Xie, Z Wang
International Conference on Learning Representations (ICLR), 2021
Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels
C You, W Dai, F Liu, Y Min, H Su, X Zhang, X Li, DA Clifton, L Staib, ...
arXiv preprint arXiv:2209.13476, 2022
Towards data distillation for end-to-end spoken conversational question answering
C You, N Chen, F Liu, D Yang, Y Zou
arXiv preprint arXiv:2010.08923, 2020
Knowledge distillation for improved accuracy in spoken question answering
C You, N Chen, Y Zou
In Proceedings of ICASSP 2021, 7793-7797, 2021
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