24 citations · 63 across the 14 of their papers we have counts for
6 papers · 1 filter
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann +1
Model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration. The uncertainty does not represent the model error well. In this p…
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
We evaluate two different methods for the integration of prediction uncertainty into diagnostic image classifiers to increase patient safety in deep learning. In the first method,…
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
We present deformable unsupervised medical image registration using a randomly-initialized deep convolutional neural network (CNN) as regularization prior. Conventional registratio…
Retinal OCT disease classification with variational autoencoder regularization
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs +1
According to the World Health Organization, 285 million people worldwide live with visual impairment. The most commonly used imaging technique for diagnosis in ophthalmology is opt…
Semantic denoising autoencoders for retinal optical coherence tomography
Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs +1
Noise in speckle-prone optical coherence tomography tends to obfuscate important details necessary for medical diagnosis. In this paper, a denoising approach that preserves disease…
Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery
Max-Heinrich Laves, Sarah Latus, Jan Bergmeier +3
Purpose: The facial recess is a delicate structure that must be protected in minimally invasive cochlear implant surgery. Current research estimates the drill trajectory by using e…