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Azade Farshad
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Semantic image manipulation using scene graphs
H Dhamo*, A Farshad*, I Laina, N Navab, GD Hager, F Tombari, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1302020
Inverse distance aggregation for federated learning with non-iid data
Y Yeganeh, A Farshad, N Navab, S Albarqouni
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
1132020
Adversarial network compression
V Belagiannis*, A Farshad*, F Galasso
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018
762018
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
A Farshad*, Y Yeganeh*, P Gehlbach, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2022
582022
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Y Zhang, A Khakzar, Y Li, A Farshad, ST Kim, N Navab
Neural Information Processing Systems (NeurIPS) 2021, 2021
312021
Unconditional scene graph generation
S Garg, H Dhamo, A Farshad, S Musatian, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
282021
Scenegenie: Scene graph guided diffusion models for image synthesis
A Farshad, Y Yeganeh, Y Chi, C Shen, B Ommer, N Navab
Proceedings of the IEEE/CVF International Conference on Computer Vision, 88-98, 2023
242023
MetaMedSeg: volumetric meta-learning for few-shot organ segmentation
A Farshad, A Makarevich, V Belagiannis, N Navab
MICCAI Workshop on Domain Adaptation and Representation Transfer, 45-55, 2022
19*2022
MIGS: Meta image generation from scene graphs
A Farshad, S Musatian, H Dhamo, N Navab
British Machine Vision Conference (BMVC) 2021, 2021
162021
FedAP: Adaptive personalization in federated learning for non-iid data
Y Yeganeh, A Farshad, J Boschmann, R Gaus, M Frantzen, N Navab
International Workshop on Distributed, Collaborative, and Federated Learning …, 2022
12*2022
Transformers pay attention to convolutions leveraging emerging properties of ViTs by dual attention-image network
Y Yeganeh, A Farshad, P Weinberger, SA Ahmadi, E Adeli, N Navab
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
9*2023
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation
Y Yeganeh, G Güvercin, R Xiao, A Abuzer, E Adeli, A Farshad, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2023
8*2023
SigmoRep: A robust reputation model for open collaborative environments
AA Kardan, R Salarmehr, A Farshad
2014 IEEE 13th International Conference on Trust, Security and Privacy in …, 2014
82014
Anatomy-Aware Masking for Inpainting in Medical Imaging
Y Yeganeh, A Farshad, N Navab
International Workshop on Shape in Medical Imaging, 35-46, 2023
52023
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab
British Machine Vision Conference (BMVC) 2022, 2022
52022
Learning to learn in medical applications: A journey through optimization
A Farshad, Y Yeganeh, N Navab
Meta Learning With Medical Imaging and Health Informatics Applications, 3-25, 2023
42023
Few-shot segmentation of 3d medical images
AG Roy, S Siddiqui, S Pölsterl, A Farshad, N Navab, C Wachinger
Meta Learning With Medical Imaging and Health Informatics Applications, 161-183, 2023
32023
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
M Mozafari, A Bitarafan, MF Azampour, A Farshad, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
S Lüpke, Y Yeganeh, E Adeli, N Navab, A Farshad
arXiv preprint arXiv:2409.13532, 2024
12024
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction
Ç Köksal, G Ghazaei, F Holm, A Farshad, N Navab
arXiv preprint arXiv:2407.20214, 2024
12024
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