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Banafshe Felfeliyan
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Books and Theses
- 2023
- [b1]Banafshe Felfeliyan:
Automatic quantification of osteoarthritis features in MRI using deep learning methods. University of Calgary, Alberta, Canada, 2023
Journal Articles
- 2023
- [j2]Banafshe Felfeliyan
, Nils D. Forkert, Abhilash Rakkunedeth Hareendranathan
, David Cornel, Yuyue Zhou, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky:
Self-supervised-RCNN for medical image segmentation with limited data annotation. Comput. Medical Imaging Graph. 109: 102297 (2023) - 2022
- [j1]Banafshe Felfeliyan
, Abhilash Rakkunedeth
, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky:
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative). Comput. Medical Imaging Graph. 97: 102056 (2022)
Conference and Workshop Papers
- 2024
- [c6]Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth, Jacob L. Jaremko:
Application of Vision-Language Models for Assessing Osteoarthritis. ISBI 2024: 1-4 - [c5]Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Shaobo Liu, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder. ISBI 2024: 1-4 - 2023
- [c4]Yuyue Zhou, Jessica Knight
, Banafshe Felfeliyan, Shrimanti Ghosh, Fatima Alves-Pereira, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. ASMUS@MICCAI 2023: 79-88 - 2022
- [c3]Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan
, Gregor Kuntze
, Stephanie Wichuk, Nils D. Forkert
, Jacob L. Jaremko, Janet Lenore Ronsky
:
Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. ICPR Workshops (2) 2022: 603-617 - 2021
- [c2]Abhilash Rakkunedeth Hareendranathan, Yungchan Jin, Banafshe Felfeliyan
, Janet Lenore Ronsky, Bashiar Thejeel, Vanessa Quinn-Laurin, Jacob L. Jaremko:
Automatic Assessment Of Hip Effusion From MRI. EMBC 2021: 3044-3048 - [c1]Banafshe Felfeliyan
, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky:
MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)). EMBC 2021: 4052-4055
Informal and Other Publications
- 2024
- [i6]Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity. CoRR abs/2401.06331 (2024) - [i5]Yuyue Zhou, Banafshe Felfeliyan, Shrimanti Ghosh, Jessica Knight, Fatima Alves-Pereira, Christopher Keen, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation. CoRR abs/2402.14300 (2024) - 2023
- [i4]Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children. CoRR abs/2309.09490 (2023) - 2022
- [i3]Banafshe Felfeliyan
, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, David Cornell, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky:
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation. CoRR abs/2207.11191 (2022) - [i2]Banafshe Felfeliyan
, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky:
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss. CoRR abs/2209.08172 (2022) - 2021
- [i1]Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky:
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative). CoRR abs/2107.12889 (2021)
Coauthor Index
aka: Abhilash Rakkunedeth
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