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ORCIDYousef Yeganeh
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2020 – today
- 2024
[c11]Hasnae Zerouaoui, Gbenga Peter Oderinde, Rida Lefdali, Karima Echihabi, Stephen Peter Akpulu, Nosereme Abel Agbon, Abraham Sunday Musa, Yousef Yeganeh, Azade Farshad, Nassir Navab:
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. MICCAI (9) 2024: 96-106- [c10]Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, Emine Dari, Yash Thirani, Nassir Navab, Azade Farshad:
VISAGE: Video Synthesis Using Action Graphs for Surgery. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 146-156 - [i14]Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad:
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. CoRR abs/2409.13532 (2024) - [i13]Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, Emine Dari, Yash Thirani, Nassir Navab, Azade Farshad:
VISAGE: Video Synthesis using Action Graphs for Surgery. CoRR abs/2410.17751 (2024) - [i12]Yousef Yeganeh, Rui Xiao, Goktug Guvercin, Nassir Navab, Azade Farshad:
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures. CoRR abs/2412.20608 (2024) - [i11]Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Azade Farshad, Ehsan Adeli:
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. CoRR abs/2412.20651 (2024) - 2023
- [c9]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. ICCV (Workshops) 2023: 88-98 - [c8]Yousef Yeganeh, Azade Farshad
, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. ICCV (Workshops) 2023: 2296-2307 - [c7]Yousef Yeganeh, Güktug Güvercin, Rui Xiao, Amr Abu-zer, Ehsan Adeli, Azade Farshad, Nassir Navab:
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation. GRAIL/OCELOT@MICCAI 2023: 3-13 - [c6]Yousef Yeganeh, Azade Farshad, Nassir Navab:
Anatomy-Aware Masking for Inpainting in Medical Imaging. ShapeMI@MICCAI 2023: 35-46 - [i10]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR abs/2304.14571 (2023) - [i9]Yousef Yeganeh, Azade Farshad, Güktug Güvercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab:
SCOPE: Structural Continuity Preservation for Medical Image Segmentation. CoRR abs/2304.14572 (2023) - [i8]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR abs/2304.14573 (2023) - [i7]Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler:
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. CoRR abs/2305.12358 (2023) - [i6]Pavel Jahoda, Azade Farshad, Yousef Yeganeh, Ehsan Adeli, Nassir Navab:
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation. CoRR abs/2311.02247 (2023) - 2022
- [c5]Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab:
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. BMVC 2022: 340 - [c4]Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. DeCaF/FAIR@MICCAI 2022: 17-27 - [c3]Mojtaba Bahrami, Mahsa Ghorbani, Yousef Yeganeh, Nassir Navab:
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis. MLMI@MICCAI 2022: 387-396 - [c2]Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. MICCAI (2) 2022: 582-592 - [i5]Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation. CoRR abs/2204.07613 (2022) - [i4]Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data. CoRR abs/2207.03448 (2022) - [i3]Yousef Yeganeh, Azade Farshad, Nassir Navab:
Shape-Aware Masking for Inpainting in Medical Imaging. CoRR abs/2207.05787 (2022) - [i2]Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab:
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. CoRR abs/2211.05499 (2022) - 2020
- [c1]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI 2020: 150-159 - [i1]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. CoRR abs/2008.07665 (2020)
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