Gabriel Chartrand

Western University — Canada

Medicine · Health Sciences

18h-index4.5kcitations32works1.52yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(13), Advanced Neural Network Applications(10), Medical Image Segmentation Techniques(10), AI in cancer detection(7), Hepatocellular Carcinoma Treatment and Prognosis(6)

Publications32 total

Deep Learning Models Connecting Images and Text: A Primer for Radiologists
Radiographics·2025· 3 citedOpen Access
NIRL-08 AUTOMATED LONGITUDINAL TRACKING OF BRAIN METASTASES INTEGRATED IN A USER-ORIENTED SOFTWARE
Neuro-Oncology Advances·2024Open Access
The Liver Tumor Segmentation Benchmark (LiTS)
Medical Image Analysis·2022· 1.0k citedOpen Access
RADT-10. THE LOST METASTASES: DEEP LEARNING’S POTENTIAL IN RADIOSURGERY QUALITY ASSURANCE
Neuro-Oncology·2022Open Access
Automated Detection of Brain Metastases on <scp>T1</scp>‐Weighted <scp>MRI</scp> Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy
Journal of Magnetic Resonance Imaging·2022· 31 cited
Deep Learning: An Update for Radiologists
Radiographics·2021· 150 citedOpen Access
The Liver Tumor Segmentation Benchmark (LiTS)
Rare & Special e-Zone (The Hong Kong University of Science and Technology)·2019· 251 citedOpen Access
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
2018· 29 cited
Learning to Learn with Conditional Class Dependencies
International Conference on Learning Representations·2018· 55 cited
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
arXiv (Cornell University)·2018· 13 citedOpen Access
Learning normalized inputs for iterative estimation in medical image segmentation
Medical Image Analysis·2017· 228 cited
Deep Learning: A Primer for Radiologists
Radiographics·2017· 1.1k cited
Liver segmentation: indications, techniques and future directions
Insights into Imaging·2017· 210 citedOpen Access
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
arXiv (Cornell University)·2017· 5 citedOpen Access
Learning Normalized Inputs for Iterative Estimation in Medical Image\n Segmentation
arXiv (Cornell University)·2017· 2 citedOpen Access
Segmentation 3D du foie
Espace École de technologie supérieure (École de technologie supérieure)·2017
Toward a quantified assessment of total body surface area from anthropometric measurements for patients with burn injuries
International Journal of Human Factors Modelling and Simulation·2017
Toward a quantified assessment of total body surface area from anthropometric measurements for patients with burn injuries
International Journal of Human Factors Modelling and Simulation·2017· 1 cited
Liver Segmentation on CT and MR Using Laplacian Mesh Optimization
IEEE Transactions on Biomedical Engineering·2016· 68 cited
Comparison of MRI- and CT-based semiautomated liver segmentation: a validation study
Abdominal Radiology·2016· 24 cited
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Frequent Co-authors

An Tang(15), Jacques A. de Guise(12), Eugene Vorontsov(8), Michal Drozdzal(8), Samuel Kadoury(8), Thierry Cresson(7), Ramnada Chav(6), Chris Pal(5), Akshat Gotra(5), Karine Massicotte-Tisluck(4), Phillip M. Cheng(3), Lisa Di Jorio(3), Adriana Romero(3), Yoshua Bengio(3), Kim‐Nhien Vu(3), Franck Vandenbroucke‐Menu(3), Guillaume Gilbert(3), Gilles Soulez(3), Xiang Jiang(3), Mohammad Havaei(3)