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  1. Article

    Open Access

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

    The purpose of this study was to evaluate the agreement between paraspinal muscle composition measurements obtained from fat–water images using % fat-signal fraction (%FSF) in comparison to those obtained from...

    Sara Masi, Meaghan Rye, Alexa Roussac, Neda Naghdi, Brent Rosenstein in BMC Medical Imaging (2023)

  2. No Access

    Chapter and Conference Paper

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

    Recent developments in deep learning (DL) techniques have led to great performance improvement in medical image segmentation tasks, especially with the latest Transformer model and its variants. While labels f...

    Parinaz Roshanzamir, Hassan Rivaz in Uncertainty for Safe Utilization of Machin… (2023)

  3. No Access

    Chapter and Conference Paper

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

    Recent studies have associated morphological and composition changes in paraspinal muscles with low back pain (LBP), which is the most common, but poorly understood musculoskeletal disorder in adults. Accurate...

    Parinaz Roshanzamir, Hassan Rivaz in Uncertainty for Safe Utilization of Machin… (2022)

  4. Article

    Open Access

    The effects of combined motor control and isolated extensor strengthening versus general exercise on paraspinal muscle morphology and function in patients with chronic low back pain: a randomised controlled trial protocol

    Exercise is a common approach for the management of patients with chronic non-specific low back pain (LBP). However, there is no clear mechanistic evidence or consensus on what type of exercise is more effecti...

    Maryse Fortin, Meaghan Rye, Alexa Roussac, Neda Naghdi in BMC Musculoskeletal Disorders (2021)