SigmoRep: A Robust Reputation Model for Open Collaborative Environments. - Ahmad A. Kardan; Reza Salarmehr; Azade Farshad (TrustCom, 2014)

Adversarial Network Compression. - Vasileios Belagiannis; Azade Farshad; Fabio Galasso (ECCV Workshops (4), 2018)

Semantic Image Manipulation Using Scene Graphs. - Helisa Dhamo; Azade Farshad; Iro Laina; Nassir Navab; Gregory D. Hager; Federico Tombari; Christian Rupprecht 001 (CVPR, 2020)

Inverse Distance Aggregation for Federated Learning with Non-IID Data. - Yousef Yeganeh; Azade Farshad; Nassir Navab; Shadi Albarqouni (DART/DCL@MICCAI, 2020)

MIGS: Meta Image Generation from Scene Graphs. - Azade Farshad; Sabrina Musatian; Helisa Dhamo; Nassir Navab (BMVC, 2021)

Unconditional Scene Graph Generation. - Sarthak Garg; Helisa Dhamo; Azade Farshad; Sabrina Musatian; Nassir Navab; Federico Tombari (ICCV, 2021)

Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. - Yang Zhang; Ashkan Khakzar; Yawei Li; Azade Farshad; Seong Tae Kim 001; Nassir Navab (NeurIPS, 2021)

DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. - Azade Farshad; Yousef Yeganeh; Helisa Dhamo; Federico Tombari; Nassir Navab (BMVC, 2022)

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. - Azade Farshad; Anastasia Makarevich; Vasileios Belagiannis; Nassir Navab (DART@MICCAI, 2022)

Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. - Azade Farshad; Yousef Yeganeh; Peter Gehlbach; Nassir Navab (MICCAI (2), 2022)

FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. - Yousef Yeganeh; Azade Farshad; Johann Boschmann; Richard Gaus; Maximilian Frantzen; Nassir Navab (DeCaF/FAIR@MICCAI, 2022)

Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation. - Azade Farshad; Yousef Yeganeh; Peter Gehlbach; Nassir Navab (CoRR, 2022)

Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data. - Yousef Yeganeh; Azade Farshad; Johann Boschmann; Richard Gaus; Maximilian Frantzen; Nassir Navab (CoRR, 2022)

Shape-Aware Masking for Inpainting in Medical Imaging. - Yousef Yeganeh; Azade Farshad; Nassir Navab (CoRR, 2022)

Representation Learning for Semantic Scene Understanding. - Azade Farshad (HHAI, 2023)

SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. - Azade Farshad; Yousef Yeganeh; Yu Chi 002; Chengzhi Shen; Björn Ommer; Nassir Navab (ICCV (Workshops), 2023)

Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. - Yousef Yeganeh; Azade Farshad; Peter Weinberger; Seyed-Ahmad Ahmadi; Ehsan Adeli 001; Nassir Navab (ICCV (Workshops), 2023)

VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. - Mohammad Mozafari; Adeleh Bitarafan; Mohammad Farid Azampour; Azade Farshad; Mahdieh Soleymani Baghshah; Nassir Navab (MICCAI (2), 2023)

Anatomy-Aware Masking for Inpainting in Medical Imaging. - Yousef Yeganeh; Azade Farshad; Nassir Navab (ShapeMI@MICCAI, 2023)

SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation. - Yousef Yeganeh; Güktug Güvercin; Rui Xiao; Amr Abu-zer; Ehsan Adeli 001; Azade Farshad; Nassir Navab (GRAIL/OCELOT@MICCAI, 2023)

DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. - Yousef Yeganeh; Azade Farshad; Peter Weinberger; Seyed-Ahmad Ahmadi; Ehsan Adeli 001; Nassir Navab (CoRR, 2023)

SCOPE: Structural Continuity Preservation for Medical Image Segmentation. - Yousef Yeganeh; Azade Farshad; Güktug Güvercin; Amr Abu-zer; Rui Xiao; Yongjian Tang; Ehsan Adeli 001; Nassir Navab (CoRR, 2023)

PRISM: Progressive Restoration for Scene Graph-Based Image Manipulation. - Pavel Jahoda; Yousef Yeganeh; Ehsan Adeli 001; Nassir Navab; Azade Farshad (ECCV Workshops (9), 2024)

SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction. - Çaghan Köksal; Ghazal Ghazaei; Felix Holm; Azade Farshad; Nassir Navab (GRAIL@MICCAI, 2024)

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. - Sven Lüpke; Yousef Yeganeh; Ehsan Adeli 001; Nassir Navab; Azade Farshad (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

VISAGE: Video Synthesis Using Action Graphs for Surgery. - Yousef Yeganeh; Rachmadio Lazuardi; Amir Shamseddin; Emine Dari; Yash Thirani; Nassir Navab; Azade Farshad (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. - Hasnae Zerouaoui; Gbenga Peter Oderinde; Rida Lefdali; Karima Echihabi; Stephen Peter Akpulu; Nosereme Abel Agbon; Abraham Sunday Musa; Yousef Yeganeh; Azade Farshad; Nassir Navab (MICCAI (9), 2024)

WiCV@CVPR2024: The Thirteenth Women In Computer Vision Workshop at the Annual CVPR Conference. - Asra Aslam; Sachini Herath; Ziqi Huang; Estefania Talavera; Deblina Bhattacharjee; Himangi Mittal; Vanessa Staderini; Mengwei Ren; Azade Farshad (CoRR, 2024)

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures. - Yousef Yeganeh; Rui Xiao; Goktug Guvercin; Nassir Navab; Azade Farshad (CoRR, 2024)

Learning to Learn Neural Representations with Limited Data and Supervision. - Azade Farshad (2024)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. - Yousef Yeganeh; Azade Farshad; Ioannis Charisiadis; Marta Hasny; Martin Hartenberger; Björn Ommer; Nassir Navab; Ehsan Adeli 001 (CVPR, 2025)

Self-supervised 3D medical image segmentation by flow-guided mask propagation learning. - Adeleh Bitarafan; Mohammad Mozafari; Mohammad Farid Azampour; Mahdieh Soleymani Baghshah; Nassir Navab; Azade Farshad (Medical Image Anal., 2025)

VeLU: Variance-enhanced Learning Unit for Deep Neural Networks. - Ashkan Shakarami; Yousef Yeganeh; Azade Farshad; Lorenzo Nicolè; Stefano Ghidoni; Nassir Navab (CoRR, 2025)

PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone. - Kamilia Zaripova; Ege Özsoy; Nassir Navab; Azade Farshad (CoRR, 2025)

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation. - Diego Biagini; Nassir Navab; Azade Farshad (CoRR, 2025)

Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation. - Ashkan Shakarami; Azade Farshad; Yousef Yeganeh; Lorenzo Nicolè; Peter J. Schüffler; Stefano Ghidoni; Nassir Navab (CoRR, 2025)

Stress-Aware Resilient Neural Training. - Ashkan Shakarami; Yousef Yeganeh; Azade Farshad; Lorenzo Nicolè; Stefano Ghidoni; Nassir Navab (CoRR, 2025)