Yousef Yeganeh

According to our database, Yousef Yeganeh authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VISAGE: Video Synthesis using Action Graphs for Surgery.

Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, Emine Dari, Yash Thirani, Nassir Navab, Azade Farshad

CoRR, 2024

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis.

Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad

CoRR, 2024

AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation.

Hasnae Zerouaoui, Gbenga Peter Oderinde, Rida Lefdali, Karima Echihabi, Stephen Peter Akpulu, Nosereme Abel Agbon, Abraham Sunday Musa, Yousef Yeganeh, Azade Farshad, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

PRISM: Progressive Restoration for Scene Graph-based Image Manipulation.

Pavel Jahoda, Azade Farshad, Yousef Yeganeh, Ehsan Adeli, Nassir Navab

CoRR, 2023

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection.

Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler

CoRR, 2023

SCOPE: Structural Continuity Preservation for Medical Image Segmentation.

Yousef Yeganeh, Azade Farshad, Güktug Güvercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab

CoRR, 2023

DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation.

Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab

CoRR, 2023

SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation.

Yousef Yeganeh, Güktug Güvercin, Rui Xiao, Amr Abu-zer, Ehsan Adeli, Azade Farshad, Nassir Navab

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Anatomy-Aware Masking for Inpainting in Medical Imaging.

Yousef Yeganeh, Azade Farshad, Nassir Navab

Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network.

Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis.

Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Shape-Aware Masking for Inpainting in Medical Imaging.

Yousef Yeganeh, Azade Farshad, Nassir Navab

CoRR, 2022

Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data.

Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab

CoRR, 2022

Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation.

Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab

CoRR, 2022

FedAP: Adaptive Personalization in Federated Learning for Non-IID Data.

Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation.

Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis.

Mojtaba Bahrami, Mahsa Ghorbani, Yousef Yeganeh, Nassir Navab

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation.

Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Inverse Distance Aggregation for Federated Learning with Non-IID Data.

Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020