1. Saeid Asgari Taghanaki, Noirin Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, Francois Benard, and Ghassan Hamarneh. Segmentation-Free Direct Tumor Volume and Metabolic Activity Estimation from PET Scans. Computerized Medical Imaging and Graphics (CMIG), 63(January):52-66, 2018. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = cmig2018a]

1. Payam Ahmadvand, Noirin Duggan, Francois Benard, and Ghassan Hamarneh. Tumour Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = healthtech2017b]



2. Saeid Asgari Taghanaki, Noirin Duggan, Hillgan Ma, Anna Celler, Francois Benard, and Ghassan Hamarneh. Lesion volume Estimation from PET without Requiring Segmentation. In Quantitative Imaging Network (QIN) Annual Meeting, 2017. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = qin2017]



3. Payam Ahmadvand, Noirin Duggan, Francois Benard, and Ghassan Hamarneh. Tumour Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10019, pages 271-278, 2016. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = miccai_mlmi2016b]

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