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2020 – today
- 2023
[c11]Kuruparan Shanmugalingam, Daniel Aaron Moses, Arcot Sowmya, Erik Meijering:
Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images. ISBI 2023: 1-4- [c10]Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering:
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images. MLMI@MICCAI (1) 2023: 217-226 - 2022
- [c9]Sankaran Iyer, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses, Arcot Sowmya:
Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. ICPR 2022: 4630-4636 - [c8]Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering:
Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data. MIDL 2022: 1085-1095 - 2021
- [i1]Sankaran Iyer, Alan Blair, Laughlin Dawes, Daniel Aaron Moses, Christopher White, Arcot Sowmya:
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. CoRR abs/2112.03276 (2021) - 2020
- [c7]Sankaran Iyer, Arcot Sowmya, Alan Blair
, Christopher White, Laughlin Dawes, Daniel Aaron Moses:
A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. ISBI 2020: 726-730
2010 – 2019
- 2018
- [b1]Daniel Aaron Moses:
Computerised analysis of the bronchovascular anatomy of the lung on multidetector CT studies. University of New South Wales, Sydney, Australia, 2018 - [j4]Daniel Aaron Moses, Laughlin Dawes, Claude Sammut, Tatjana Zrimec:
Peripheral bronchial identification on chest CT using unsupervised machine learning. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1379-1395 (2018) - 2017
- [c6]Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes:
Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. DICTA 2017: 1-6 - 2016
- [j3]Daniel Aaron Moses, Claude Sammut, Tatjana Zrimec:
Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. Int. J. Comput. Assist. Radiol. Surg. 11(3): 381-395 (2016) - [j2]Banafsheh Pazokifard, Arcot Sowmya, Daniel Aaron Moses:
Automatic 3D modelling of human diaphragm from lung MDCT images. Int. J. Comput. Assist. Radiol. Surg. 11(5): 767-776 (2016) - [c5]Gihan Samarasinghe, Arcot Sowmya, Daniel Aaron Moses:
Semi-quantitative analysis of prostate perfusion MRI by clustering of pre and post contrast enhancement phases. ISBI 2016: 943-947 - 2015
- [j1]Banafsheh Pazokifard, Arcot Sowmya, Daniel Aaron Moses:
Automatic patient-customised 3D reconstruction of human costal cartilage from lung MDCT dataset. Int. J. Comput. Assist. Radiol. Surg. 10(4): 465-472 (2015) - 2014
- [c4]Gihan Samarasinghe, Arcot Sowmya, Daniel Aaron Moses:
A Semi-Quantitative Analysis Model with Parabolic Modelling for DCE-MRI Sequences of Prostate. DICTA 2014: 1-6 - [c3]Banafsheh Pazokifard, Arcot Sowmya, Daniel Aaron Moses:
Patient-customized 3D reconstruction of human ribs from lung MDCT dataset. ISBI 2014: 1131-1135
2000 – 2009
- 2005
- [c2]Li Zhang, Tiantian Zhang, Carol L. Novak, David P. Naidich, Daniel Aaron Moses:
A computer-based method of segmenting ground glass nodules in pulmonary CT images: comparison to expert radiologists' interpretations. Medical Imaging: Image Processing 2005 - 2004
- [c1]David P. Naidich, Jane P. Ko, Jonathan Stoeckel, Nicole Abinanti, Stanley Lu, Daniel Aaron Moses, William Moore, Ioannis Vlahos, Carol L. Novak:
Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study. CARS 2004: 902-907
Coauthor Index
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