| 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 | 1327 | 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 | 204 | 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 | 83 | 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 | 64 | 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 | 58 | 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 | 45 | 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 | 34 | 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 | 34 | 2009 |
| 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 | 27 | 2020 |
| 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 | 27 | 2010 |
| 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 | 25 | 2015 |
| 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 | 23 | 2006 |
| 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 | 21 | 2019 |
| Development of Automated Diagnostic Tools for Pneumoconiosis Detection from Chest X-ray Radiographs Y Arzhaeva, D Wang, L Devnath, SK Amirgholipour, R McBean, ... The Final Report Prepared for Coal Services Health and Safety Trust, 2019 | 14 | 2019 |
| Spotsizer: High-throughput quantitative analysis of microbial growth L Bischof, M Převorovský, C Rallis, DC Jeffares, Y Arzhaeva, J Bähler Biotechniques 61 (4), 191-201, 2016 | 13 | 2016 |
| 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 | 13 | 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 | 13 | 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 | 12 | 2006 |
| 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, ... International Conference on Service-Oriented Computing, 339-351, 2013 | 11 | 2013 |
| 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 | 10 | 2015 |