Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data. - Trushali Doshi; John J. Soraghan; Derek Grose; Kenneth MacKenzie; Lykourgos Petropoulakis (EUSIPCO, 2014)

3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. - Sean Campbell; Trushali Doshi; John J. Soraghan; Lykourgos Petropoulakis; Gaetano Di Caterina; Derek Grose; Kenneth MacKenzie (EMBC, 2015)

Automatic detection of larynx cancer from contrast-enhanced magnetic resonance images. - Trushali Doshi; John J. Soraghan; Derek Grose; Kenneth MacKenzie; Lykourgos Petropoulakis (Computer-Aided Diagnosis, 2015)

Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images. - Trushali Doshi; John J. Soraghan; Lykourgos Petropoulakis; Gaetano Di Caterina; Derek Grose; Kenneth MacKenzie; Christina Wilson (Biomed. Signal Process. Control., 2017)

Automatic 3D Detection and Segmentation of Head and Neck Cancer from MRI Data. - Baixiang Zhao; John J. Soraghan; Derek Grose; Trushali Doshi; Gaetano Di Caterina (EUVIP, 2018)

Automatic 3D segmentation of MRI data for detection of head and neck cancerous lymph nodes. - Baixiang Zhao; John J. Soraghan; Gaetano Di Caterina; Lykourgos Petropoulakis; Derek Grose; Trushali Doshi (SPA, 2018)

Modified U-Net for Automatic Brain Tumor Regions Segmentation. - Keerati Kaewrak; John J. Soraghan; Gaetano Di Caterina; Derek Grose (EUSIPCO, 2019)

Segmentation of Head and Neck Tumours Using Modified U-net. - Baixiang Zhao; John J. Soraghan; Gaetano Di Caterina; Derek Grose (EUSIPCO, 2019)

TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data. - Keerati Kaewrak; John J. Soraghan; Gaetano Di Caterina; Derek Grose (BrainLes@MICCAI (2), 2020)

Hybrid attention mechanism for liver tumor segmentation in CT images. - Ming Gong; Baixiang Zhao; John J. Soraghan; Gaetano Di Caterina; Derek Grose (EUVIP, 2022)

A Boundary Optimization Scheme for Liver Tumors from CT Images. - Ming Gong; John J. Soraghan; Gaetano Di Caterina; Xiaoquan Li; Derek Grose (EUSIPCO, 2023)