Y
Ying Chi
Researcher at Alibaba Group
Publications - 26
Citations - 1199
Ying Chi is an academic researcher from Alibaba Group. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 6, co-authored 26 publications receiving 955 citations. Previous affiliations of Ying Chi include Imperial College London & German Cancer Research Center.
Papers
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Journal ArticleDOI
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
Tobias Heimann,B. van Ginneken,Martin Styner,Yulia Arzhaeva,V. Aurich,C. Bauer,A. Beck,C. Becker,Reinhard Beichel,G. Bekes,Fernando Bello,G. Binnig,Horst Bischof,Alexander Bornik,P. Cashman,Ying Chi,A. Cordova,Benoit M. Dawant,Marta Fidrich,Jacob D. Furst,D. Furukawa,Lars Grenacher,Joachim Hornegger,D. Kainmuller,Richard I. Kitney,H. Kobatake,Hans Lamecker,T. Lange,Jeongjin Lee,B. Lennon,Rui Li,Senhu Li,Hans-Peter Meinzer,Gábor Németh,Daniela Raicu,A.-M. Rau,E.M. van Rikxoort,Mikael Rousson,L. Rusko,K.A. Saddi,G. Schmidt,D. Seghers,Akinobu Shimizu,Pieter Slagmolen,Erich Sorantin,G. Soza,R. Susomboon,Jonathan M. Waite,A. Wimmer,Ivo Wolf +49 more
TL;DR: A comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.
A Discussion on the Evaluation of A New Automatic Liver Volume Segmentation Method for Specified CT Image Datasets
TL;DR: A new automatic strategic active contour method for accurate and re- producible liver volume segmentation, which contains different ways to tackle different difficulties.
Book ChapterDOI
Multimodal evaluation for medical image segmentation
Rubén Cárdenes,Meritxell Bach,Ying Chi,Ioannis Marras,Rodrigo de Luis,Mats Anderson,P. M. M. Cashman,Matthieu Bultelle +7 more
TL;DR: This paper is a joint effort between five institutions that introduces several novel similarity measures and combines them to carry out a multimodal segmentation evaluation and shows experimentally that the combination of these measures improves the quality of the evaluation.
Proceedings ArticleDOI
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
TL;DR: A conditional partial-residual graph convolutional network (CPR-GCN), which takes both position and CT image into consideration, since CT image contains abundant information such as branch size and spanning direction.
Book ChapterDOI
Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements
TL;DR: An automatic measurement method by detecting anatomical landmarks with the latest deep learning approaches for total hip arthroplasty by imposing the relative position constraints on each landmark by defining edges among landmarks according to the clinical significance.