F
Fengze Liu
Researcher at Johns Hopkins University
Publications - 23
Citations - 656
Fengze Liu is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 8, co-authored 21 publications receiving 302 citations.
Papers
More filters
Journal ArticleDOI
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 R. Roth +9 more
TL;DR: This paper proposes uncertainty-aware multi-view co-training (UMCT), a unified framework that addresses these two tasks for volumetric medical image segmentation and can even effectively handle the challenging situation where labeled source data is inaccessible.
Proceedings ArticleDOI
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 R. Roth +8 more
TL;DR: In this article, an uncertainty-aware multi-view co-training (UMCT) was proposed to address semi-supervised learning on 3D data, such as volumetric data from medical imaging.
Book ChapterDOI
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net
TL;DR: In this paper, a 3D Volumetric Fusion Network (VFN) is proposed to fuse the 2D segmentation results, which is relatively shallow and contains much fewer parameters than most 3D networks, making it more efficient at integrating 3D information for segmentation.
Journal ArticleDOI
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience.
Linda C. Chu,Seyoun Park,Satomi Kawamoto,Yan Wang,Yuyin Zhou,Wei Shen,Zhuotun Zhu,Yingda Xia,Lingxi Xie,Fengze Liu,Qihang Yu,Daniel Fadaei Fouladi,Shahab Shayesteh,Eva S. Zinreich,Jefferson S. Graves,Karen M. Horton,Alan L. Yuille,Ralph H. Hruban,Kenneth W. Kinzler,Bert Vogelstein,Elliot K. Fishman +20 more
Proceedings ArticleDOI
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 +7 more
TL;DR: In this paper, the authors proposed a geometry-aware tubular structure segmentation method, Deep Distance Transform (DDT), which combines intuitions from the classical distance transform for skeletonization and modern deep segmentation networks.