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ORCIDFengze Liu
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2020 – today
- 2024
[j3]Alicia M. Braxton
, Ashley L. Kiemen, Mia P. Grahn, André Forjaz, Jeeun Parksong, Jaanvi Mahesh Babu, Jiaying Lai, Lily Zheng, Noushin Niknafs, Liping Jiang, Haixia Cheng, Qianqian Song, Rebecca Reichel, Sarah Graham, Alexander Damanakis, Catherine G. Fischer, Stephanie Mou, Cameron Metz, Julie Granger, Xiao-Ding Liu, Niklas Bachmann, Yutong Zhu, Yunzhou Liu, Cristina Almagro-Pérez, Ann Chenyu Jiang, Jeonghyun Yoo, Bridgette Kim, Scott Du, Eli Foster, Jocelyn Y. Hsu, Paula Andreu Rivera, Linda C. Chu, Fengze Liu, Elliot K. Fishman, Alan L. Yuille, Nicholas J. Roberts, Elizabeth D. Thompson, Robert B. Scharpf, Toby C. Cornish, Yuchen Jiao, Rachel Karchin, Ralph H. Hruban, Pei-Hsun Wu, Denis Wirtz, Laura D. Wood:
3D genomic mapping reveals multifocality of human pancreatic precancers. Nat. 629(8012): 679-687 (2024)- [c13]Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR 2024: 23523-23533 - [c12]Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson:
Event Causality Identification with Synthetic Control. EMNLP 2024: 1725-1737 - [i15]Yukun Feng, Yangming Shi, Fengze Liu, Tan Yan:
Motion Guided Token Compression for Efficient Masked Video Modeling. CoRR abs/2402.18577 (2024) - 2023
- [c11]Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang:
Intriguing Findings of Frequency Selection for Image Deblurring. AAAI 2023: 1905-1913 - [i14]Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin:
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation. CoRR abs/2311.14986 (2023) - 2022
- [j2]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. IEEE Trans. Medical Imaging 41(6): 1346-1357 (2022) - [c10]Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu:
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. MIDL 2022: 1444-1458 - [i13]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. CoRR abs/2201.00942 (2022) - [i12]Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
Learning to Bootstrap for Combating Label Noise. CoRR abs/2202.04291 (2022) - [i11]Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu:
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. CoRR abs/2207.02529 (2022) - 2021
- [c9]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [i10]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - 2020
- [j1]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [c8]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c7]Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille:
Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. ECCV (1) 2020: 145-161 - [c6]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c5]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [i9]Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille:
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation. CoRR abs/2003.08440 (2020) - [i8]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i7]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020)
2010 – 2019
- 2019
- [c4]Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System for Segmentation Algorithm Based on Shape Model. ICCV 2019: 10651-10660 - [c3]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille:
Joint Shape Representation and Classification for Detecting PDAC. MLMI@MICCAI 2019: 212-220 - [c2]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. MLMI@MICCAI 2019: 221-229 - [i6]Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System For Segmentation Algorithm Based On Shape Model. CoRR abs/1903.10645 (2019) - [i5]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. CoRR abs/1908.07654 (2019) - [i4]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019) - 2018
- [c1]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI (4) 2018: 445-453 - [i3]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR abs/1804.00392 (2018) - [i2]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille:
Joint Shape Representation and Classification for Detecting PDAC. CoRR abs/1804.10684 (2018) - [i1]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR abs/1811.12506 (2018)
Coauthor Index
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