追蹤
Fengze Liu
Fengze Liu
在 jhu.edu 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Medical image analysis 65, 101766, 2020
1902020
3d semi-supervised learning with uncertainty-aware multi-view co-training
Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
1522020
Synthesize then compare: Detecting failures and anomalies for semantic segmentation
Y Xia, Y Zhang, F Liu, W Shen, AL Yuille
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1382020
Deep distance transform for tubular structure segmentation in ct scans
Y Wang, X Wei, F Liu, J Chen, Y Zhou, W Shen, EK Fishman, AL Yuille
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
962020
Bridging the gap between 2d and 3d organ segmentation with volumetric fusion net
Y Xia, L Xie, F Liu, Z Zhu, EK Fishman, AL Yuille
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
842018
Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience
LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ...
Journal of the American College of Radiology 16 (9), 1338-1342, 2019
752019
Intriguing findings of frequency selection for image deblurring
X Mao, Y Liu, F Liu, Q Li, W Shen, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1905-1913, 2023
512023
Joint shape representation and classification for detecting PDAC
F Liu, L Xie, Y Xia, E Fishman, A Yuille
International Workshop on Machine Learning in Medical Imaging, 212-220, 2019
26*2019
Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans
F Liu, J Cai, Y Huo, CT Cheng, A Raju, D Jin, J Xiao, A Yuille, L Lu, ...
European Conference on Computer Vision, 257-274, 2020
252020
An alarm system for segmentation algorithm based on shape model
F Liu, Y Xia, D Yang, AL Yuille, D Xu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
242019
External attention assisted multi-phase splenic vascular injury segmentation with limited data
Y Zhou, D Dreizin, Y Wang, F Liu, W Shen, AL Yuille
IEEE transactions on medical imaging 41 (6), 1346-1357, 2021
182021
SAME: Deformable image registration based on self-supervised anatomical embeddings
F Liu, K Yan, AP Harrison, D Guo, L Lu, AL Yuille, L Huang, G Xie, J Xiao, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
182021
The felix project: Deep networks to detect pancreatic neoplasms
Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen, Z Zhu, B Li, ...
medRxiv, 2022.09. 24.22280071, 2022
162022
Identifying Image Segmentation Quality Using Neural Networks
D Yang, D Xu, F Liu, Y Xia
US Patent App. 16/380,759, 2020
92020
Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
AM Braxton, AL Kiemen, MP Grahn, A Forjaz, JM Babu, L Zheng, L Jiang, ...
bioRxiv, 2023
52023
Learning to bootstrap for combating label noise
Y Zhou, X Li, F Liu, X Chen, L Yu, C Xie, MP Lungren, L Xing
arXiv preprint arXiv:2202.04291, 2022
52022
Unsupervised domain adaptation through shape modeling for medical image segmentation
Y Yao, F Liu, Z Zhou, Y Wang, W Shen, A Yuille, Y Lu
International Conference on Medical Imaging with Deep Learning, 1444-1458, 2022
32022
Fusionnet: Incorporating shape and texture for abnormality detection in 3d abdominal ct scans
F Liu, Y Zhou, E Fishman, A Yuille
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
22019
KNOWLEDGE FUSION IN ALGORITHMS FOR MEDICAL IMAGE ANALYSIS
F Liu
Johns Hopkins University, 2022
2022
L2B: Learning to Bootstrap for Combating Label Noise
Y Zhou, X Li, F Liu, X Chen, L Yu, C Xie, MP Lungren, L Xing
2022
系統目前無法執行作業,請稍後再試。
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