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Yulia Arzhaeva
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2020 – today
- 2023
- [i1]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado
, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR abs/2311.15836 (2023) - 2020
- [c8]Dadong Wang
, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao
, Rhiannon McBean, James Hillhouse, Suhuai Luo
, David Meredith, Katrina Newbigin, Deborah Yates:
Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. DICTA 2020: 1-6
2010 – 2019
- 2016
- [j4]Ryan Lagerstrom, Yulia Arzhaeva
, Piotr Szul, Oliver Obst
, Robert Power
, Bella Robinson
, Tomasz Bednarz
:
Image Classification to Support Emergency Situation Awareness. Frontiers Robotics AI 3: 54 (2016) - 2013
- [c7]Dadong Wang
, Tomasz Bednarz
, Yulia Arzhaeva
, John A. Taylor
, Piotr Szul, Shiping Chen
, Neil Burdett, Alex Khassapov, Tim E. Gureyev
:
Cloud Computing for High Performance Image Analysis on a National Infrastructure. CCGRID 2013: 172-173 - [c6]Dadong Wang, Tomasz Bednarz, Yulia Arzhaeva, Piotr Szul, Shiping Chen, Neil Burdett, Alex Khassapov, Tim E. Gureyev, John A. Taylor:
Cloud based Services for Biomedical Image Analysis. CLOSER 2013: 350-357 - [c5]Shiping Chen
, Tomasz Bednarz, Piotr Szul, Dadong Wang, Yulia Arzhaeva
, Neil Burdett, Alex Khassapov, John Zic, Surya Nepal, Tim Gurevey, John A. Taylor
:
Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud. ICSOC Workshops 2013: 339-351 - 2010
- [j3]Eva M. van Rikxoort
, Ivana Isgum
, Yulia Arzhaeva
, Marius Staring
, Stefan Klein, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken
:
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Anal. 14(1): 39-49 (2010) - [c4]Yulia Arzhaeva, Pascal Vallotton, Changming Sun
:
Mosaicing of microscope images in the presence of large areas with insufficient information content. Medical Imaging: Image Processing 2010: 762338
2000 – 2009
- 2009
- [b1]Yulia Arzhaeva:
Computer-aided detection and quantification of interstitial lung disease from computed tomography and chest radiography. Utrecht University, Netherlands, 2009 - [j2]Yulia Arzhaeva
, David M. J. Tax, Bram van Ginneken
:
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs. Pattern Recognit. 42(9): 1768-1776 (2009) - [j1]Tobias Heimann, Bram van Ginneken
, Martin Styner
, Yulia Arzhaeva
, Volker Aurich, Christian Bauer, Andreas Beck
, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello
, Gerd Karl Binnig, Horst Bischof
, Alexander Bornik
, Peter Cashman, Ying Chi
, Andrés Cordova, Benoit M. Dawant, Márta Fidrich
, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller
, Richard Kitney
, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort
, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf
:
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28(8): 1251-1265 (2009) - [c3]Yulia Arzhaeva, Laurens Hogeweg, Pim A. de Jong, Max A. Viergever, Bram van Ginneken
:
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis. MICCAI (1) 2009: 724-731 - 2006
- [c2]Yulia Arzhaeva, Bram van Ginneken
, David M. J. Tax:
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs. ICPR (1) 2006: 367-370 - [c1]Yulia Arzhaeva
, David M. J. Tax, Bram van Ginneken
:
Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers. Medical Imaging: Image Processing 2006: 614458
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