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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
SigmoRep: A robust reputation model for open collaborative environments
Published in In the proceedings of 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014
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Recommended citation: Ahmad Kardan, Reza Salarmehr, \textbf{Azade} \textbf{Farshad}, "SigmoRep: A robust reputation model for open collaborative environments." In the proceedings of 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014.
Adversarial network compression
Published in In the proceedings of Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018
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Recommended citation: Vasileios Belagiannis*, \textbf{Azade} \textbf{Farshad}*, Fabio Galasso, "Adversarial network compression." In the proceedings of Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.
Inverse distance aggregation for federated learning with non-iid data
Published in In the proceedings of Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4--8, 2020, Proceedings 2, 2020
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Recommended citation: Yousef Yeganeh, \textbf{Azade} \textbf{Farshad}, Nassir Navab, Shadi Albarqouni, "Inverse distance aggregation for federated learning with non-iid data." In the proceedings of Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4--8, 2020, Proceedings 2, 2020.
Semantic image manipulation using scene graphs
Published in In the proceedings of Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020
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Recommended citation: Helisa Dhamo*, \textbf{Azade} \textbf{Farshad}*, Iro Laina, Nassir Navab, Gregory Hager, Federico Tombari, Christian Rupprecht, "Semantic image manipulation using scene graphs." In the proceedings of Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020.
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Published in In the proceedings of Neural Information Processing Systems (NeurIPS) 2021, 2021
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Recommended citation: Yang Zhang, Ashkan Khakzar, Yawei Li, \textbf{Azade} \textbf{Farshad}, Seong Kim, Nassir Navab, "Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information." In the proceedings of Neural Information Processing Systems (NeurIPS) 2021, 2021.
MIGS: Meta image generation from scene graphs
Published in In the proceedings of British Machine Vision Conference (BMVC) 2021, 2021
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Recommended citation: \textbf{Azade} \textbf{Farshad}, Sabrina Musatian, Helisa Dhamo, Nassir Navab, "MIGS: Meta image generation from scene graphs." In the proceedings of British Machine Vision Conference (BMVC) 2021, 2021.
Unconditional scene graph generation
Published in In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Recommended citation: Sarthak Garg, Helisa Dhamo, \textbf{Azade} \textbf{Farshad}, Sabrina Musatian, Nassir Navab, Federico Tombari, "Unconditional scene graph generation." In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
Published in In the proceedings of British Machine Vision Conference (BMVC) 2022, 2022
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Recommended citation: \textbf{Azade} \textbf{Farshad}, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab, "DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation." In the proceedings of British Machine Vision Conference (BMVC) 2022, 2022.
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data
Published in In the proceedings of International Workshop on Distributed, Collaborative, and Federated Learning, 2022
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Recommended citation: Yousef Yeganeh, \textbf{Azade} \textbf{Farshad}, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab, "FedAP: Adaptive Personalization in Federated Learning for Non-IID Data." In the proceedings of International Workshop on Distributed, Collaborative, and Federated Learning, 2022.
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
Published in In the proceedings of MICCAI Workshop on Domain Adaptation and Representation Transfer, 2022
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Recommended citation: \textbf{Azade} \textbf{Farshad}, Anastasia Makarevich, Vasileios Belagiannis, Nassir Navab, "MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation." In the proceedings of MICCAI Workshop on Domain Adaptation and Representation Transfer, 2022.
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
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Recommended citation: \textbf{Azade} \textbf{Farshad}*, Yousef Yeganeh*, Peter Gehlbach, Nassir Navab, "Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022.
Anatomy-Aware Masking for Inpainting in Medical Imaging
Published in In the proceedings of International Workshop on Shape in Medical Imaging, 2023
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Recommended citation: Yousef Yeganeh, \textbf{Azade} \textbf{Farshad}, Nassir Navab, "Anatomy-Aware Masking for Inpainting in Medical Imaging." In the proceedings of International Workshop on Shape in Medical Imaging, 2023.
Few-shot segmentation of 3D medical images
Published in In the proceedings of Meta Learning With Medical Imaging and Health Informatics Applications, 2023
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Recommended citation: Abhijit Roy, Shayan Siddiqui, Sebastian P{\"o}lsterl, \textbf{Azade} \textbf{Farshad}, Nassir Navab, Christian Wachinger, "Few-shot segmentation of 3D medical images." In the proceedings of Meta Learning With Medical Imaging and Health Informatics Applications, 2023.
Learning to learn in medical applications: A journey through optimization
Published in In the proceedings of Meta-Learning with Medical Imaging and Health Informatics Applications, 2023
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Recommended citation: \textbf{Azade} \textbf{Farshad}, Yousef Yeganeh, Nassir Navab, "Learning to learn in medical applications: A journey through optimization." In the proceedings of Meta-Learning with Medical Imaging and Health Informatics Applications, 2023.
Representation Learning for Semantic Scene Understanding
Published in In the proceedings of HHAI 2023: Augmenting Human Intellect: Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, 2023
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Recommended citation: \textbf{Azade} \textbf{Farshad}, "Representation Learning for Semantic Scene Understanding." In the proceedings of HHAI 2023: Augmenting Human Intellect: Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, 2023.
Scenegenie: Scene graph guided diffusion models for image synthesis
Published in In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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Recommended citation: \textbf{Azade} \textbf{Farshad}, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Bj{\"o}rn Ommer, Nassir Navab, "Scenegenie: Scene graph guided diffusion models for image synthesis." In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.
Transformers pay attention to convolutions leveraging emerging properties of vits by dual attention-image network
Published in In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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Recommended citation: Yousef Yeganeh, \textbf{Azade} \textbf{Farshad}, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab, "Transformers pay attention to convolutions leveraging emerging properties of vits by dual attention-image network." In the proceedings of Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
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Recommended citation: Mohammad Mozafari, Adeleh Bitarafan, Mohammad Azampour, \textbf{Azade} \textbf{Farshad}, Mahdieh Soleymani, Nassir Navab, "VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023.
AMONuSeg: A dataset of African Multi-Organ Nuclei Semantic Segmentation of H&E-Stained Histological Images
Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
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Recommended citation: Hasnae Zerouaoui, Oderinde Gbenga, Rida Lefdali, Karima Echihabi, Stephen AKPULU, Nosereme AGBON, Abraham Sunday, Yousef Yeganeh, \textbf{Azade} \textbf{Farshad}, Nassir Navab, "AMONuSeg: A dataset of African Multi-Organ Nuclei Semantic Segmentation of H&E-Stained Histological Images." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024.
VISAGE: Video Synthesis using Action Graphs for Surgery
Published in In the proceedings of MICCAI Workshops Proceedings, 2024
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Recommended citation: Yousef Yeganeh, Rachmadio Lazuardi, Emine Dari, Yash Thirani, Amir Shamseddin, Nassir Navab, \textbf{Azade} \textbf{Farshad}, "VISAGE: Video Synthesis using Action Graphs for Surgery." In the proceedings of MICCAI Workshops Proceedings, 2024.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Master Seminar on Deep Generative Models
Undergraduate course, Technical University of Munich, Informatics, 2019
The recent advances of generative models in Deep Learning will be studied in the Seminar Course. Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), adversarial learning and learning with adversaries compose the main topics of the seminar. A set of papers will cover the aforementioned topics. One or two lectures will be also offered to support the seminar.
Master Practical on Deep Learning for Human Modelling
Undergraduate course, Technical University of Munich, Informatics, 2025 - present
The aim of the course is to provide the students with notions about various deep learning techniques for human modelling. The course is mainly defined by a project.
Master Seminar on Deep Learning for Medical Applications
Undergraduate course, Technical University of Munich, Informatics, 2020 - present
In this Master Seminar (Hauptseminar), students select one scientific topic from the list provided by course organizers. The students should read the proposed sample papers by the tutors, find the topic-related articles, summarize and compare them in their presentation and blogpost.
Master Practical on Machine Learning for Medical Imaging
Undergraduate course, Technical University of Munich, Informatics, 2019 - present
The aim of the course is to provide the students with notions about various machine learning techniques. The course is mainly defined by a project. The topics of the projects will be distributed at the beginning of the semester.