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Hykoush Asaturyan
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2020 – today
- 2022
- [c5]Barbara Villarini, Hykoush Asaturyan:
AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. DCOSS 2022: 215-221 - 2021
- [j3]Hykoush Asaturyan
, Barbara Villarini, Karen Sarao, Jeanne Chow, Onur Afacan
, Sila Kurugol:
Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors 21(23): 7942 (2021) - [c4]Barbara Villarini
, Hykoush Asaturyan
, Sila Kurugol, Onur Afacan
, Jimmy D. Bell
, E. Louise Thomas
:
3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. CBMS 2021: 166-171
2010 – 2019
- 2019
- [j2]Hykoush Asaturyan
, Antonio Gligorievski
, Barbara Villarini
:
Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. Comput. Medical Imaging Graph. 75: 1-13 (2019) - [j1]Hykoush Asaturyan
, E. Louise Thomas
, Jimmy D. Bell
, Barbara Villarini
:
A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes. J. Medical Syst. 43(12): 334:1-334:10 (2019) - [c3]Hykoush Asaturyan
, E. Louise Thomas
, Julie Fitzpatrick, Jimmy D. Bell
, Barbara Villarini
:
Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function. MLMI@MICCAI 2019: 27-35 - 2018
- [c2]Hykoush Asaturyan
, Barbara Villarini
:
Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-Flow and Min-Cuts Approach. ICIAR 2018: 562-570 - 2017
- [c1]Barbara Villarini
, Hykoush Asaturyan
, E. Louise Thomas
, Rhys Mould
, Jimmy D. Bell
:
A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities. CBMS 2017: 666-671
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