Sanaz Karimijafarbigloo

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Medical Image Segmentation

Top Venues

ICCV (Workshops)

Publications

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 (2024)
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation. MIDL (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach. PRIME@MICCAI (2023)
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 (2023)
Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation. MIDL (2023)
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 (2022)
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 (2022)
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)