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Nassir Navab — most-cited papers & profile · Generative Models
← authors
·
overview
Nassir Navab
163
papers ·
1181
citations ·
102
h-index
X-Fab (Germany) · Munich Center for Machine Learning · Technical University of Munich
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Most-cited papers
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
2018 · 44 citations
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
2021 · 8 citations
Generating Highly Realistic Images of Skin Lesions with GANs
2018 · 6 citations
Adversarial Networks for Camera Pose Regression and Refinement
2019 · 2 citations
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
2023 · 2 citations
Learning Interpretable Disentangled Representations using Adversarial VAEs
2019 · 1 citations
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
2024 · 1 citations
What can we learn about a generated image corrupting its latent representation?
2022
Top co-authors
Shadi Albarqouni
· 5
Christoph Baur
· 3
Matthias Keicher
· 2
Slobodan Ilić
· 2
Aadhithya Sankar
· 1
Aarushi Gupta
· 1
Abhijeet Parida
· 1
Abouzar Eslami
· 1
Agnieszka Tomczak
· 1
Alexandra S. Gersing
· 1
Anna-Sophia Dietrich
· 1
Azade Farshad
· 1
Topics
GANs
eess.IV
Diffusion Models
Conditioning & Control
cs.IT
eess.SP
math.IT
Training & Sampling