| 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 | 89 | 2020 |
| 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 | 37 | 2022 |
| 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 | 8 | 2023 |
| 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 |
| Autopaint: A self-inpainting method for unsupervised anomaly detection M Astaraki, F De Benetti, Y Yeganeh, I Toma-Dasu, Ö Smedby, C Wang, ... arXiv preprint arXiv:2305.12358, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab BMVC 2022, 2022 | 4 | 2022 |
| Meta learning with medical imaging and health informatics applications H Van Nguyen, R Summers, R Chellappa Academic Press, 2022 | 4 | 2022 |
| Simulation of DAC-based truncated sine excitation pulse generator A Aliakbari, YM Yeganeh, S Safari 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 3 | 2015 |
| Anatomy-Aware Masking for Inpainting in Medical Imaging Y Yeganeh, A Farshad, N Navab International Workshop on Shape in Medical Imaging, 35-46, 2023 | 2 | 2023 |
| PRISM: Progressive Restoration for Scene Graph-based Image Manipulation P Jahoda, A Farshad, Y Yeganeh, E Adeli, N Navab arXiv preprint arXiv:2311.02247, 2023 | | 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 | | 2023 |
| Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis M Bahrami, M Ghorbani, Y Yeganeh, N Navab International Workshop on Machine Learning in Medical Imaging, 387-396, 2022 | | 2022 |
| Unsupervised Tumor Segmentation M Astaraki, F De Benetti, Y Yeganeh, I Toma-Dasu, Ö Smedby, C Wang, ... | | 2022 |
| AutoML in Federated Learning A Farshad, Y Yeganeh | | |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
