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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
1102020
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
882020
Adversarial network compression
V Belagiannis*, A Farshad*, F Galasso
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018
702018
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
332022
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
262021
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
192021
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
15*2022
MIGS: Meta image generation from scene graphs
A Farshad, S Musatian, H Dhamo, N Navab
British Machine Vision Conference (BMVC) 2021, 2021
112021
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
72023
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
72014
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
6*2023
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
6*2022
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
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
42022
Meta learning with medical imaging and health informatics applications
H Van Nguyen, R Summers, R Chellappa
Academic Press, 2022
42022
Scope: Structural continuity preservation for medical image segmentation
Y Yeganeh, A Farshad, G Guevercin, A Abu-zer, R Xiao, Y Tang, E Adeli, ...
arXiv preprint arXiv:2304.14572, 2023
32023
Anatomy-Aware Masking for Inpainting in Medical Imaging
Y Yeganeh, A Farshad, N Navab
International Workshop on Shape in Medical Imaging, 35-46, 2023
22023
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
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
22023
Representation Learning for Semantic Scene Understanding
A Farshad
HHAI 2023: Augmenting Human Intellect: Proceedings of the Second …, 2023
1*2023
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Articles 1–20