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Yulia Arzhaeva
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 23
Citations - 1524
Yulia Arzhaeva is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Cloud computing & Image processing. The author has an hindex of 10, co-authored 23 publications receiving 1339 citations. Previous affiliations of Yulia Arzhaeva include German Cancer Research Center & Utrecht University.
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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.
Journal ArticleDOI
Adaptive local multi-atlas segmentation : Application to the heart and the caudate nucleus
Eva M. van Rikxoort,Ivana Išgum,Yulia Arzhaeva,Marius Staring,Stefan Klein,Max A. Viergever,Josien P. W. Pluim,Bram van Ginneken +7 more
TL;DR: AMAS and ALMAS were applied to segmentation of the heart in computed tomography scans of the chest and compared to a conventional multi-atlas method (MAS), showing that ALMAS achieves the same performance as MAS at a much lower computational cost.
Automatic segmentation of the liver in computed tomography scans with voxel classification and atlas matching
TL;DR: A fully automatic system for segmentation of the liver from CT scans is presented and performs robustly, however, that locally many errors are made and the localization of the border is often not precise.
Journal ArticleDOI
AutoDensity : an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes
Carolyn Nickson,Yulia Arzhaeva,Zoe Aitken,Tarek Elgindy,Mitchell Buckley,Ming Li,Dallas R. English,Dallas R. English,Anne Kavanagh +8 more
TL;DR: It is concluded that AutoDensity is a valid automated method for measuring breast density from digitised film mammograms and compares it to Cumulus in terms of association with breast cancer risk and breast cancer screening outcomes.
Journal ArticleDOI
Image classification to support emergency situation awareness
Ryan Lagerstrom,Yulia Arzhaeva,Piotr Szul,Oliver Obst,Robert Power,Bella Robinson,Tomasz Bednarz +6 more
TL;DR: This paper investigates image classification in the context of a bush fire emergency in the Australian state of NSW where images associated with Tweets during the emergency were used to train and test classification approaches.