A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities. - Barbara Villarini; Hykoush A. Asaturyan; E. Louise Thomas; Rhys Mould; Jimmy D. Bell (CBMS, 2017)

Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-Flow and Min-Cuts Approach. - Hykoush A. Asaturyan; Barbara Villarini (ICIAR, 2018)

Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function. - Hykoush A. Asaturyan; E. Louise Thomas; Julie Fitzpatrick; Jimmy D. Bell; Barbara Villarini (MLMI@MICCAI, 2019)

Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. - Hykoush A. Asaturyan; Antonio Gligorievski; Barbara Villarini (Comput. Medical Imaging Graph., 2019)

A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes. - Hykoush A. Asaturyan; E. Louise Thomas; Jimmy D. Bell; Barbara Villarini (J. Medical Syst., 2019)

3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. - Barbara Villarini; Hykoush A. Asaturyan; Sila Kurugol; Onur Afacan; Jimmy D. Bell; E. Louise Thomas (CBMS, 2021)

Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. - Hykoush A. Asaturyan; Barbara Villarini; Karen Sarao; Jeanne Chow; Onur Afacan; Sila Kurugol (Sensors, 2021)

AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. - Barbara Villarini; Hykoush A. Asaturyan (DCOSS, 2022)