Yulia Arzhaeva
Yulia Arzhaeva
CSIRO Data61
Verified email at
Cited by
Cited by
Comparison and evaluation of methods for liver segmentation from CT datasets
T Heimann, B Van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ...
IEEE transactions on medical imaging 28 (8), 1251-1265, 2009
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus
EM van Rikxoort, I Isgum, Y Arzhaeva, M Staring, S Klein, MA Viergever, ...
Medical image analysis 14 (1), 39-49, 2010
Automatic segmentation of the liver in computed tomography scans with voxel classification and atlas matching
E van Rikxoort, Y Arzhaeva, B van Ginneken
Proceedings of the MICCAI Workshop 3, 101-108, 2007
AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes
C Nickson, Y Arzhaeva, Z Aitken, T Elgindy, M Buckely, M Li, ...
Breast Cancer Research 15 (5), R80, 2013
Image classification to support emergency situation awareness
R Lagerstrom, Y Arzhaeva, P Szul, O Obst, R Power, B Robinson, ...
Frontiers in Robotics and AI 3, 54, 2016
Computer‐aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
Y Arzhaeva, M Prokop, DMJ Tax, PA De Jong, CM Schaefer–Prokop, ...
Medical Physics 34 (12), 4798-4809, 2007
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs
Y Arzhaeva, DMJ Tax, B van Ginneken
Pattern Recognition 42 (9), 1768-1776, 2009
Global and local multi-valued dissimilarity-based classification: application to computer-aided detection of tuberculosis
Y Arzhaeva, L Hogeweg, PA de Jong, MA Viergever, B van Ginneken
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
Automated estimation of progression of interstitial lung disease in CT images
Y Arzhaeva, M Prokop, K Murphy, EM van Rikxoort, PA de Jong, ...
Medical physics 37 (1), 63-73, 2010
Linear model combining by optimizing the Area under the ROC curve
Y Arzhaeva, RPW Duin, DMJ Tax
18th International Conference on Pattern Recognition (ICPR'06) 4, 119-122, 2006
Pollen image classification using the classifynder system: algorithm comparison and a case study on New Zealand honey
R Lagerstrom, K Holt, Y Arzhaeva, L Bischof, S Haberle, F Hopf, D Lovell
Signal and image analysis for biomedical and life sciences, 207-226, 2015
Cloud-based image analysis and processing toolbox for biomedical applications
T Bednarz, D Wang, Y Arzhaeva, P Szul, S Chen, A Khassapov, N Burdett, ...
8th IEEE International Conference on eScience, 8-12, 2012
A multi-atlas approach to automatic segmentation of the caudate nucleus in MR brain images
E van Rikxoort, Y Arzhaeva, B van Ginneken
Proceedings of MICCAI Workshop 3D Segmentation in the Clinic: A Grand …, 2007
Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers
Y Arzhaeva, D Tax, B van Ginneken
SPIE Medical Imaging, 614458-614458-8, 2006
Automated pneumoconiosis detection on chest X-rays using cascaded learning with real and synthetic radiographs
D Wang, Y Arzhaeva, L Devnath, M Qiao, S Amirgholipour, Q Liao, ...
2020 Digital Image Computing: Techniques and Applications (DICTA), 1-6, 2020
Galaxy+ Hadoop: Toward a collaborative and scalable image processing toolbox in cloud
S Chen, T Bednarz, P Szul, D Wang, Y Arzhaeva, N Burdett, A Khassapov, ...
Service-Oriented Computing–ICSOC 2013 Workshops: CCSA, CSB, PASCEB, SWESE …, 2014
High-content imaging of unbiased chemical perturbations reveals that the phenotypic plasticity of the actin cytoskeleton is constrained
NS Bryce, TW Failes, JR Stehn, K Baker, S Zahler, Y Arzhaeva, L Bischof, ...
Cell Systems 9 (5), 496-507. e5, 2019
Cloud based toolbox for image analysis, processing and reconstruction tasks
T Bednarz, D Wang, Y Arzhaeva, R Lagerstrom, P Vallotton, N Burdett, ...
Signal and image analysis for biomedical and life sciences, 191-205, 2015
Spotsizer: High-throughput quantitative analysis of microbial growth
L Bischof, M Převorovskı, C Rallis, DC Jeffares, Y Arzhaeva, J Bähler
Biotechniques 61 (4), 191-201, 2016
A comparison of classification algorithms within the classifynder pollen imaging system
R Lagerstrom, Y Arzhaeva, L Bischof, S Haberle, F Hopf, D Lovell
AIP Conference Proceedings 1559 (1), 250-259, 2013
The system can't perform the operation now. Try again later.
Articles 1–20