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ORCIDSanaz Karimijafarbigloo
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2020 – today
- 2024
[j1]Reza Azad
, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The Success of U-Net. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10076-10095 (2024)- [c8]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. ISBI 2024: 1-5 - [c7]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. ISBI 2024: 1-5 - [c6]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations. PRIME@MICCAI 2024: 173-184 - [i8]Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu:
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. CoRR abs/2406.03430 (2024) - 2023
- [c5]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c4]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach. PRIME@MICCAI 2023: 159-171 - [c3]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation. MIDL 2023: 680-694 - [c2]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof:
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation. MIDL 2023: 1144-1162 - [i7]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach. CoRR abs/2307.14446 (2023) - [i6]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR abs/2309.00143 (2023) - [i5]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR abs/2311.12617 (2023) - [i4]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR abs/2311.13069 (2023) - [i3]Reza Azad, Moein Heidari, Kadir Yilmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, Dorit Merhof:
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook. CoRR abs/2312.05391 (2023) - 2022
- [c1]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. PRIME@MICCAI 2022: 91-102 - [i2]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. CoRR abs/2208.00713 (2022) - [i1]Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The success of U-Net. CoRR abs/2211.14830 (2022)
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