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ORCIDAzade Farshad
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2020 – today
- 2025
[j1]Adeleh Bitarafan, Mohammad Mozafari, Mohammad Farid Azampour
, Mahdieh Soleymani Baghshah, Nassir Navab, Azade Farshad:
Self-supervised 3D medical image segmentation by flow-guided mask propagation learning. Medical Image Anal. 101: 103478 (2025)- [c26]Yousef Yeganeh, Azade Farshad, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Ehsan Adeli:
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. CVPR 2025: 7685-7695 - [c25]Yousef Yeganeh, Maximilian Frantzen, Michael Lee, Kun-Hsing Yu, Nassir Navab, Azade Farshad:
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology. MICCAI (14) 2025: 106-116 - [c24]Yousef Yeganeh, Nassir Navab, Azade Farshad:
MoViS: Motion-guided Video Generation for Laparoscopic Surgery. Agentic AI/CREATE/Clinical MLLMs@MICCAI 2025: 215-225 - [c23]Diego Biagini, Nassir Navab, Azade Farshad:
HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation. MICCAI (9) 2025: 310-319 - [i28]Ashkan Shakarami, Yousef Yeganeh, Azade Farshad, Lorenzo Nicolè, Stefano Ghidoni, Nassir Navab:
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks. CoRR abs/2504.15051 (2025) - [i27]Kamilia Zaripova, Ege Özsoy, Nassir Navab, Azade Farshad:
PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone. CoRR abs/2506.13119 (2025) - [i26]Diego Biagini, Nassir Navab, Azade Farshad:
HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation. CoRR abs/2506.21287 (2025) - [i25]Ashkan Shakarami, Azade Farshad, Yousef Yeganeh, Lorenzo Nicolè, Peter J. Schüffler, Stefano Ghidoni, Nassir Navab:
Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation. CoRR abs/2507.12427 (2025) - [i24]Ashkan Shakarami, Yousef Yeganeh, Azade Farshad, Lorenzo Nicolè, Stefano Ghidoni, Nassir Navab:
Stress-Aware Resilient Neural Training. CoRR abs/2508.00098 (2025) - [i23]Yousef Yeganeh, Maximilian Frantzen, Michael Lee, Kun-Hsing Yu, Nassir Navab, Azade Farshad:
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology. CoRR abs/2510.05315 (2025) - [i22]Premt Cara, Kamilia Zaripova, David Bani-Harouni, Nassir Navab, Azade Farshad:
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis. CoRR abs/2510.08655 (2025) - 2024
- [b1]Azade Farshad:
Learning to Learn Neural Representations with Limited Data and Supervision. Technical University of Munich, Germany, 2024 - [c22]Pavel Jahoda, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad:
PRISM: Progressive Restoration for Scene Graph-Based Image Manipulation. ECCV Workshops (9) 2024: 142-160 - [c21]Hasnae Zerouaoui, Gbenga Peter Oderinde, Rida Lefdali, Karima Echihabi, Stephen Peter Akpulu, Nosereme Abel Agbon, Abraham Sunday Musa, Yousef Yeganeh, Azade Farshad, Nassir Navab:
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. MICCAI (9) 2024: 96-106 - [c20]Çaghan Köksal, Ghazal Ghazaei, Felix Holm, Azade Farshad, Nassir Navab:
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction. GRAIL@MICCAI 2024: 106-117 - [c19]Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, Emine Dari, Yash Thirani, Nassir Navab, Azade Farshad:
VISAGE: Video Synthesis Using Action Graphs for Surgery. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 146-156 - [c18]Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad:
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI 2024: 198-207 - [i21]Çaghan Köksal, Ghazal Ghazaei, Felix Holm, Azade Farshad, Nassir Navab:
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction. CoRR abs/2407.20214 (2024) - [i20]Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad:
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. CoRR abs/2409.13532 (2024) - [i19]Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, Emine Dari, Yash Thirani, Nassir Navab, Azade Farshad:
VISAGE: Video Synthesis using Action Graphs for Surgery. CoRR abs/2410.17751 (2024) - [i18]Asra Aslam, Sachini Herath, Ziqi Huang, Estefania Talavera, Deblina Bhattacharjee, Himangi Mittal, Vanessa Staderini, Mengwei Ren, Azade Farshad:
WiCV@CVPR2024: The Thirteenth Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR abs/2411.02445 (2024) - [i17]Yousef Yeganeh, Rui Xiao, Goktug Guvercin, Nassir Navab, Azade Farshad:
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures. CoRR abs/2412.20608 (2024) - [i16]Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Azade Farshad, Ehsan Adeli:
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. CoRR abs/2412.20651 (2024) - 2023
- [c17]Azade Farshad:
Representation Learning for Semantic Scene Understanding. HHAI 2023: 445-458 - [c16]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. ICCV (Workshops) 2023: 88-98 - [c15]Yousef Yeganeh, Azade 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. ICCV (Workshops) 2023: 2296-2307 - [c14]Yousef Yeganeh, Güktug Güvercin, Rui Xiao, Amr Abu-zer, Ehsan Adeli, Azade Farshad, Nassir Navab:
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation. GRAIL/OCELOT@MICCAI 2023: 3-13 - [c13]Yousef Yeganeh, Azade Farshad, Nassir Navab:
Anatomy-Aware Masking for Inpainting in Medical Imaging. ShapeMI@MICCAI 2023: 35-46 - [c12]Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab:
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. MICCAI (2) 2023: 112-122 - [i15]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR abs/2304.14571 (2023) - [i14]Yousef Yeganeh, Azade Farshad, Güktug Güvercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab:
SCOPE: Structural Continuity Preservation for Medical Image Segmentation. CoRR abs/2304.14572 (2023) - [i13]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR abs/2304.14573 (2023) - [i12]Pavel Jahoda, Azade Farshad, Yousef Yeganeh, Ehsan Adeli, Nassir Navab:
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation. CoRR abs/2311.02247 (2023) - 2022
- [c11]Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab:
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. BMVC 2022: 340 - [c10]Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. DeCaF/FAIR@MICCAI 2022: 17-27 - [c9]Azade Farshad, Anastasia Makarevich, Vasileios Belagiannis, Nassir Navab:
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. DART@MICCAI 2022: 45-55 - [c8]Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. MICCAI (2) 2022: 582-592 - [i11]Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation. CoRR abs/2204.07613 (2022) - [i10]Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data. CoRR abs/2207.03448 (2022) - [i9]Yousef Yeganeh, Azade Farshad, Nassir Navab:
Shape-Aware Masking for Inpainting in Medical Imaging. CoRR abs/2207.05787 (2022) - [i8]Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab:
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. CoRR abs/2211.05499 (2022) - 2021
- [c7]Azade Farshad, Sabrina Musatian, Helisa Dhamo, Nassir Navab:
MIGS: Meta Image Generation from Scene Graphs. BMVC 2021: 316 - [c6]Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari:
Unconditional Scene Graph Generation. ICCV 2021: 16342-16351 - [c5]Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab:
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. NeurIPS 2021: 20040-20051 - [i7]Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari:
Unconditional Scene Graph Generation. CoRR abs/2108.05884 (2021) - [i6]Anastasia Makarevich, Azade Farshad, Vasileios Belagiannis, Nassir Navab:
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. CoRR abs/2109.09734 (2021) - [i5]Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab:
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. CoRR abs/2110.01471 (2021) - [i4]Azade Farshad, Sabrina Musatian, Helisa Dhamo, Nassir Navab:
MIGS: Meta Image Generation from Scene Graphs. CoRR abs/2110.11918 (2021) - 2020
- [c4]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CVPR 2020: 5212-5221 - [c3]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI 2020: 150-159 - [i3]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CoRR abs/2004.03677 (2020) - [i2]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. CoRR abs/2008.07665 (2020)
2010 – 2019
- 2018
- [c2]Vasileios Belagiannis, Azade Farshad, Fabio Galasso:
Adversarial Network Compression. ECCV Workshops (4) 2018: 431-449 - [i1]Vasileios Belagiannis, Azade Farshad, Fabio Galasso:
Adversarial Network Compression. CoRR abs/1803.10750 (2018) - 2014
- [c1]Ahmad A. Kardan, Reza Salarmehr, Azade Farshad:
SigmoRep: A Robust Reputation Model for Open Collaborative Environments. TrustCom 2014: 505-510
Coauthor Index
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