Author

Azade Farshad

Observed name: Farshad, Azade

Institutions: Munich Center for Machine Learning, Technical University of Munich, Aalto University

Observed institutions: Johns Hopkins University, Amirkabir University of Technology, OSRAM (Germany), Munich Center for Machine Learning, Technical University of Munich, Aalto University

ORCID: 0000-0002-1080-1587

Observed ORCID: 0000-0002-1080-1587

OpenAlex ID: A5014777005

Semantic Image Manipulation Using Scene Graphs

2020 · Helisa Dhamo, Azade Farshad, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 123

Inverse Distance Aggregation for Federated Learning with Non-IID Data

2020 · Yousef Yeganeh, Azade Farshad, et al. · Lecture notes in computer science · 95

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Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

2022 · Azade Farshad, Yousef Yeganeh, et al. · Lecture notes in computer science · 72

Adversarial Network Compression

2019 · Vasileios Belagiannis, Azade Farshad, et al. · Lecture notes in computer science · 60

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SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis

2023 · Azade Farshad, Yousef Yeganeh, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 38

Unconditional Scene Graph Generation

2021 · Sarthak Garg, Helisa Dhamo, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 21

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

2021 · Zhang, Yang, Khakzar, Ashkan, et al. · arXiv (Cornell University) · 17

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

2022 · Azade Farshad, Anastasia Makarevich, et al. · Lecture notes in computer science · 16

FedAP: Adaptive Personalization in Federated Learning for Non-IID Data

2022 · Yousef Yeganeh, Azade Farshad, et al. · Lecture notes in computer science · 11

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis

2025 · Yousef Yeganeh, Azade Farshad, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 10

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MIGS: Meta Image Generation from Scene Graphs

2021 · Azade Farshad, Sabrina Musatian, et al. · British Machine Vision Conference (BMVC) · 10

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VISAGE: Video Synthesis Using Action Graphs for Surgery

2025 · Yousef Yeganeh, Rachmadio Lazuardi, et al. · Lecture notes in computer science · 8

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SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction

2025 · Çağhan Köksal, Ghazal Ghazaei, et al. · Lecture notes in computer science · 8

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Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network

2023 · Yousef Yeganeh, Azade Farshad, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 8

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis

2025 · Sven Lüpke, Yousef Yeganeh, et al. · Lecture notes in computer science · 7

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Anatomy-Aware Masking for Inpainting in Medical Imaging

2023 · Yousef Yeganeh, Azade Farshad, et al. · Lecture notes in computer science · 7

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

2025 · Diego Biagini, Nassir Navab, et al. · Lecture notes in computer science · 5

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SigmoRep: A Robust Reputation Model for Open Collaborative Environments

2014 · Ahmad A. Kardan, Reza Salarmehr, et al. · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 5

SCOPE: Structural Continuity Preservation for Medical Image Segmentation

2023 · Yeganeh, Yousef, Farshad, Azade, et al. · arXiv (Cornell University) · 4

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Self-supervised 3D medical image segmentation by flow-guided mask propagation learning

2025 · Adeleh Bitarafan, Mohammad Mozafari, et al. · Medical Image Analysis · 3

SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation

2024 · Yousef Yeganeh, Göktuğ Güvercin, et al. · Lecture notes in computer science · 3

Learning to learn in medical applications

2022 · Azade Farshad, Yousef Yeganeh, et al. · Elsevier eBooks · 3

Few-shot segmentation of 3D medical images

2022 · Abhijit Guha Roy, Shayan Siddiqui, et al. · Elsevier eBooks · 3

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