Azade Farshad
Scholar

Azade Farshad

Google Scholar ID: VKZtH1MAAAAJ
Technical University of Munich, Incoming Assistant Professor at Aalto University
Scene GraphsDeep Generative ModelsSemantic Scene UnderstandingSurgical Data Science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
693
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
24
list available
Contact
Emailazade.farshad@tum.deGitHubOpen ↗
Publications
9 items
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis
2025
Cited
0
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
2025
Cited
0
Stress-Aware Resilient Neural Training
2025
Cited
0
Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation
2025
Cited
0
HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation
2025
Cited
0
PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone
2025
Cited
0
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
2025
Cited
0
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
2024
Cited
0
Resume (English only)
Research Experience
  • Works at the Institute of Informatics, Technical University of Munich.
Co-authors
24 total
Nassir Navab
Nassir Navab
Professor of Computer Science, Technische Universität München
Yousef Yeganeh
Yousef Yeganeh
Researcher at Technical University of Munich
Helisa Dhamo
Helisa Dhamo
Researcher in Computer Vision
Federico Tombari
Federico Tombari
Google, TU Munich
Vasileios Belagiannis
Vasileios Belagiannis
Professor, Friedrich-Alexander-Universität Erlangen-Nürnberg
Ehsan Adeli
Ehsan Adeli
Stanford University
Peter Gehlbach
Peter Gehlbach
Johns Hopkins University School of Medicine
Fabio Galasso
Fabio Galasso
Sapienza University of Rome