Banafshe Felfeliyan
Orcid: 0000-0002-3404-7048
According to our database1,
Banafshe Felfeliyan
authored at least 16 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
Comput. Biol. Medicine, 2025
2024
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.
CoRR, 2024
CoRR, 2024
Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Comput. Medical Imaging Graph., October, 2023
Automatic quantification of osteoarthritis features in MRI using deep learning methods.
PhD thesis, 2023
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children.
CoRR, 2023
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
CoRR, 2022
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).
Comput. Medical Imaging Graph., 2022
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)).
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021