Azade Farshad

According to our database, Azade Farshad authored at least 28 papers between 2014 and 2024.

Collaborative distances:

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

2024

Learning to Learn Neural Representations with Limited Data and Supervision.

Azade Farshad

PhD thesis, 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

SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction.

Çaghan Köksal, Ghazal Ghazaei, Felix Holm, Azade Farshad, Nassir Navab

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

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

VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation.

Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Representation Learning for Semantic Scene Understanding.

Azade Farshad

Proceedings of the HHAI 2023: Augmenting Human Intellect, 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

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.

Azade Farshad, Anastasia Makarevich, Vasileios Belagiannis, Nassir Navab

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI 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

2021

Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.

Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unconditional Scene Graph Generation.

Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MIGS: Meta Image Generation from Scene Graphs.

Azade Farshad, Sabrina Musatian, Helisa Dhamo, Nassir Navab

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

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

Semantic Image Manipulation Using Scene Graphs.

Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Adversarial Network Compression.

Vasileios Belagiannis, Azade Farshad, Fabio Galasso

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2014

SigmoRep: A Robust Reputation Model for Open Collaborative Environments.

Ahmad A. Kardan, Reza Salarmehr, Azade Farshad

Proceedings of the 13th IEEE International Conference on Trust, 2014