Banafshe Felfeliyan

Orcid: 0000-0002-3404-7048

According to our database1, Banafshe Felfeliyan authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Sam2Rad: A segmentation model for medical images with learnable prompts.
Comput. Biol. Medicine, 2025

2024
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.
CoRR, 2024

Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity.
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

Application of Vision-Language Models for Assessing Osteoarthritis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.
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
Self-supervised-RCNN for medical image segmentation with limited data annotation.
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
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation.
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

Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Automatic Assessment Of Hip Effusion From MRI.
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


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