Sébastien Quetin

Ph.D. Student
Biological & Biomedical Engineering

Artificial Intelligence Group

Bio

Sébastien was born and raised in France. He attended INSA Toulouse, a five-year French engineering school where he specialized in Mathematics and Data Science. He is passionate about Artificial Intelligence and deep learning. He is thrilled to join Enger Lab at McGill University to apply Artificial Intelligence to subjects that really matter. He will be working on deep learning-based medical image analysis. Apart from science and programming, he loves sports and discovering new things.

Current Projects

AI-based dosimetry for brachytherapy application
Brachytherapy is a form of radiotherapy where a sealed radiation source is placed inside or in close proximity to the tumor.  The treatment starts by a radiation oncologist inserting catheters or an applicator inside the patient’s body of the patient aiming to place them inside and around the clinical treatment volume. Once this is done, a CT scan of the area is acquired. The catheters/applicator are manually reconstructed on the CT by a medical physicist. Organs at risk and tumor volumes are contoured by an oncologist. Finally a treatment is created and optimized to irradiate as much as possible the tumor while sparing organs at risk. Irradiations are simulated using Monte-Carlo principle and considering the patient’s body as water.
The main goal of my PhD project is to develop a precise automated dosimetry algorithm that would take into account patient tissues heterogeneity and replace time consuming Monte-Carlo simulations.
Catheter digitization for brachytherapy application
Brachytherapy is a form of radiotherapy where a sealed radiation source is placed inside or in close proximity to the tumor. There are different types of brachytherapy, my project involves interstitial brachytherapy for treatment of breast cancer. The treatment starts by a radiation oncologist inserting catheters inside the breast of the patient aiming to place them inside and around the clinical treatment volume. Once this is done, a CT scan of the area is acquired. The catheters are manually reconstructed on the CT by a medical physicist. Organs at risk and tumor volumes are contoured by an oncologist. Finally the treatment can be planned.
One goal of my PhD project is to automate the process of catheter digitization using a deep learning algorithm to reduced time spent by experienced staff.

2023

Amod, Alyssa R.; Smith, Alexandra; Joubert, Pearly; Sebastien, Quetin

2nd Place at BraTS Africa 2023 Challenge Miscellaneous

2023, (MICCAI 2023 ).

Links | BibTeX

Sebastien, Quetin; Bahoric, Boris; Maleki, Farhad; Enger, Shirin A.

Improving TG-43 dose accuracy with Deep Learning Conference

2023, (CARO-COMP 2023 Joint Scientific Meeting ).

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Sebastien, Quetin; Bahoric, Boris; Maleki, Farhad; Enger, Shirin A.

Artificial-Intelligence based high precision Brachytherapy dose calculation, Presentation

21.06.2023, (Temerty Centre for AI Research and Education in Medicine, University of Toronto ).

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Sebastien, Quetin; Bahoric, Boris; Maleki, Farhad; Enger, Shirin A.

Artificial-Intelligence based high precision Brachytherapy dose calculation Presentation

13.05.2023, (The European Society for Radiotherapy and Oncology 2023 Congress ).

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Sebastien, Quetin

Lady Davis Institute Travel Award Miscellaneous

2023, (Lady Davis Institute ).

BibTeX

2022

Sebastien, Quetin

Artificial Intelligence-based Brachytherapy Presentation

From New avenues in the non-operative management of patients with rectal cancer Conference, 14.10.2022.

BibTeX

Sebastien, Quetin; Zou, Yujing

Deep Learning Framework : Tensorboard and Pytorch Lightning Workshop

2022.

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Sebastien, Quetin

Deep Learning Framework : Pytorch tensors and Autograd Workshop

2022.

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Sebastien, Quetin; Bahoric, Boris; Maleki, Farhad; Enger, Shirin A.

rtificial Intelligence-based dosimetry in high dose rate brachytherapy Conference

2022, (Celebration of Research and Training in Oncology Conference ).

BibTeX

Sebastien, Quetin; Zou, Yujing

Introduction to medical image processing with Python : DICOM and histopathology images Workshop

2022.

Links | BibTeX