BACK TO INDEX
Publications of Francois Benard at Hamarneh Lab
|
Articles in journal, book chapters
|
-
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]
-
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]
-
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]
-
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]
-
Payam Ahmadvand,
Hillgan Ma,
Jesse Tanguay,
Anna Celler,
Francois Benard,
and Ghassan Hamarneh.
A Level-Set based Segmentation of tumour lesions in PET images.
In Quantitative Imaging Network (QIN) Annual Meeting,
2016.
Keyword(s): Machine Learning,
Segmentation,
Functional/Molecular/Dynamic Imaging.
[bibtex-key = qin2016]
BACK TO INDEX
Disclaimer:
This material is presented to ensure timely dissemination of
scholarly and technical work. Copyright and all rights therein
are retained by authors or by other copyright holders.
All person copying this information are expected to adhere to
the terms and constraints invoked by each author's copyright.
In most cases, these works may not be reposted
without the explicit permission of the copyright holder.
Last modified: Thu May 8 20:28:58 2025
Author: hamarneh.
This document was translated from BibTEX by
bibtex2html