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2020 – today
- 2023
[c4]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation. UNSURE@MICCAI 2023: 74-83- [c3]Soorena Salari, Amirhossein Rasoulian
, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao:
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. Image Processing 2023 - [i1]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation. CoRR abs/2308.06964 (2023) - 2022
- [c2]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet. UNSURE@MICCAI 2022: 125-134
2010 – 2019
- 2019
- [c1]Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao:
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network. MICCAI (2) 2019: 318-325
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