Banafshe Felfeliyan

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

Self-supervised-RCNN for medical image segmentation with limited data annotation.

[BibT_eX]

[DOI]

Nils D. Forkert

Comput. Medical Imaging Graph., October, 2023

Automatic quantification of osteoarthritis features in MRI using deep learning methods.

[BibT_eX]

[DOI]

PhD thesis, 2023

Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

2022

Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation.

[BibT_eX]

[DOI]

CoRR, 2022

Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2022

Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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)).

[BibT_eX]

[DOI]

Gregor Kuntze