1 citations · 2 across the 4 of their papers we have counts for
4 papers
MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space
Santiago Galella, Pamela Osuna-Vargas, Maren Wehrheim +3
Modern vision models achieve strong performance on standard benchmarks, yet their aggregate accuracy reveals little about which scene properties drive their predictions. Existing r…
SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines
Pamela Osuna-Vargas, Altug Kamacioglu, Dominik F. Aschauer +5
Dendritic spines are key structural components of excitatory synapses in the brain. Given the size of dendritic spines provides a proxy for synaptic efficacy, their detection and t…
Linking in Style: Understanding learned features in deep learning models
Maren H. Wehrheim, Pamela Osuna-Vargas, Matthias Kaschube
Convolutional neural networks (CNNs) learn abstract features to perform object classification, but understanding these features remains challenging due to difficult-to-interpret re…
Denoising diffusion models for high-resolution microscopy image restoration
Pamela Osuna-Vargas, Maren H. Wehrheim, Lucas Zinz +5
Advances in microscopy imaging enable researchers to visualize structures at the nanoscale level thereby unraveling intricate details of biological organization. However, challenge…