Fengze Liu

According to our database, Fengze Liu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D genomic mapping reveals multifocality of human pancreatic precancers.

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

Nat., 2024

Motion Guided Token Compression for Efficient Masked Video Modeling.

Yukun Feng, Yangming Shi, Fengze Liu, Tan Yan

CoRR, 2024

Event Causality Identification with Synthetic Control.

Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

L2B: Learning to Bootstrap Robust Models for Combating Label Noise.

Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.

Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin

CoRR, 2023

Intriguing Findings of Frequency Selection for Image Deblurring.

Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.

Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille

IEEE Trans. Medical Imaging, 2022

Learning to Bootstrap for Combating Label Noise.

Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing

CoRR, 2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.

Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.

Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

Medical Image Anal., 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.

Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation.

Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2020, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans.

Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.

Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Joint Shape Representation and Classification for Detecting PDAC.

Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Alarm System for Segmentation Algorithm Based on Shape Model.

Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Bridging the Gap Between 2D and 3D Organ Segmentation.

Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille

CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.

Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018