Max-Heinrich Laves | DeepAI

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∙ 02/02/2022

Posterior temperature optimized Bayesian models for inverse problems in medical imaging

We present Posterior Temperature Optimized Bayesian Inverse Models (POTO...

0 Max-Heinrich Laves, et al. ∙

∙ 01/31/2022

Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction

Lesion detection in brain Magnetic Resonance Images (MRIs) remains a cha...

0 Marcel Bengs, et al. ∙

∙ 01/28/2022

Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses

In pathology and legal medicine, the histopathological and microbiologic...

0 Maximilian Neidhardt, et al. ∙

∙ 06/11/2021

Posterior Temperature Optimization in Variational Inference

Cold posteriors have been reported to perform better in practice in the ...

0 Max-Heinrich Laves, et al. ∙

∙ 04/26/2021

Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging

The consideration of predictive uncertainty in medical imaging with deep...

0 Max-Heinrich Laves, et al. ∙

∙ 08/20/2020

Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior

Uncertainty quantification in inverse medical imaging tasks with deep le...

7 Max-Heinrich Laves, et al. ∙

∙ 07/09/2020

Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer

Fast motion feedback is crucial in computer-aided surgery (CAS) on movin...

0 Sontje Ihler, et al. ∙

∙ 06/20/2020

Calibration of Model Uncertainty for Dropout Variational Inference

The model uncertainty obtained by variational Bayesian inference with Mo...

0 Max-Heinrich Laves, et al. ∙

∙ 09/30/2019

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

In this paper, well-calibrated model uncertainty is obtained by using te...

0 Max-Heinrich Laves, et al. ∙

∙ 08/02/2019

Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases

We evaluate two different methods for the integration of prediction unce...

0 Max-Heinrich Laves, et al. ∙

∙ 08/02/2019

Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior

We present deformable unsupervised medical image registration using a ra...

6 Max-Heinrich Laves, et al. ∙

∙ 03/23/2019

Semantic denoising autoencoders for retinal optical coherence tomography

Noise in speckle-prone optical coherence tomography tends to obfuscate i...

0 Max-Heinrich Laves, et al. ∙

∙ 01/19/2019

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery

Purpose: The facial recess is a delicate structure that must be protecte...

0 Max-Heinrich Laves, et al. ∙

∙ 10/26/2018

Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography

In laser microsurgery, image-based control of the ablation laser can lea...

0 Max-Heinrich Laves, et al. ∙

∙ 07/16/2018

A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation

Purpose: Automated segmentation of anatomical structures in medical imag...

2 Max-Heinrich Laves, et al. ∙