Maryse Fortin

According to our database, Maryse Fortin authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle.

Marnee J. McKay, Kenneth A. Weber II, Evert O. Wesselink, Zachary A. Smith, Rebecca Abbott, David B. Anderson, Claire E. Ashton-James, John Atyeo, Aaron J. Beach, Joshua Burns, Stephen Clarke, Natalie J. Collins, Michel W. Coppieters, Jon Cornwall, Rebecca J. Crawford, Enrico De Martino, Adam G. Dunn, Jillian P. Eyles, Henry J. Feng, Maryse Fortin, Melinda M. Franettovich Smith, Graham J. Galloway, Ziba Gandomkar, Sarah Glastras, Luke A. Henderson, Julie A. Hides, Claire E. Hiller, Sarah N. Hilmer, Mark A. Hoggarth, Brian Kim, Navneet Lal, Laura Laporta, John S. Magnussen, Sarah Maloney, Lyn March, Andrea G. Nackley, Shaun P. O'leary, Anneli Peolsson, Zuzana Perraton, Annelies L. Pool-Goudzwaard, Margaret Schnitzler, Amee L. Seitz, Adam I. Semciw, Philip W. Sheard, Andrew C. Smith, Suzanne J. Snodgrass, Justin Sullivan, Vienna Tran, Stephanie Valentin, David M. Walton, Laurelie R. Wishart, James M. Elliott

J. Imaging, 2024

2023

Comparison of paraspinal muscle composition measurements using IDEAL fat-water and T2-weighted MR images.

Sara Masi, Meaghan Rye, Alexa Roussac, Neda Naghdi, Brent Rosenstein, Jeannie F. Bailey, Maryse Fortin

BMC Medical Imaging, December, 2023

Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs.

Soorena Salari, Amirhossein Rasoulian, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao

Proceedings of the Medical Imaging 2023: Image Processing, 2023

How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation.

Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet.

Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2020

Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge.

Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong

IEEE Trans. Medical Imaging, 2020

Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-Net.

Bahareh Behboodi, Maryse Fortin, Clyde J. Belasso, Rupert Brooks, Hassan Rivaz

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network.

Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019