Max-Heinrich Laves

According to our database, Max-Heinrich Laves authored at least 24 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Dataset associated with IEEE Access contribution "Stereo laryngoscopic impact site prediction for droplet-based stimulation of the laryngeal adductor reflex".

Jacob Friedemann Fast, Hardik R. Dava, Adrian Karl Rüppel, Dennis Kundrat, Maurice Krauth, Max-Heinrich Laves, Svenja Spindeldreier, Lüder Alexander Kahrs, Martin Ptok

Dataset, May, 2022

Posterior temperature optimized Bayesian models for inverse problems in medical imaging.

Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt

Medical Image Anal., 2022

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

Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, Thorben Weiß, Martin Gromniak, Antonia Fitzek, Dustin Möbius, Inga Kniep, Alexandra Ron, Julia Schädler, Axel Heinemann, Klaus Püschel, Benjamin Ondruschka, Alexander Schlaefer

CoRR, 2022

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction.

Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Posterior Temperature Optimization in Variational Inference.

Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer

CoRR, 2021

Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging.

Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier

CoRR, 2021

Stereo Laryngoscopic Impact Site Prediction for Droplet-Based Stimulation of the Laryngeal Adductor Reflex.

Jacob Friedemann Fast, Hardik R. Dava, Adrian Karl Rüppel, Dennis Kundrat, Maurice Krauth, Max-Heinrich Laves, Svenja Spindeldreier, Lüder A. Kahrs, Martin Ptok

IEEE Access, 2021

A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging.

Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

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

Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier

CoRR, 2020

Calibration of Model Uncertainty for Dropout Variational Inference.

Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier

CoRR, 2020

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning.

Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior.

Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking.

Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

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

Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier

CoRR, 2019

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

Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier

CoRR, 2019

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

Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier

CoRR, 2019

Retinal OCT disease classification with variational autoencoder regularization.

Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier

CoRR, 2019

Semantic denoising autoencoders for retinal optical coherence tomography.

Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier

CoRR, 2019

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, Tobias Ortmaier, Lüder A. Kahrs, Alexander Schlaefer

CoRR, 2019

A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.

Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier

Int. J. Comput. Assist. Radiol. Surg., 2019

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

Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

2018

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

Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier

CoRR, 2018

2017

Feature tracking for automated volume of interest stabilization on 4D-OCT images.

Max-Heinrich Laves, Andreas Schoob, Lüder A. Kahrs, Tom Pfeiffer, Robert Huber, Tobias Ortmaier

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

2016

Soft tissue motion tracking with application to tablet-based incision planning in laser surgery.

Andreas Schoob, Max-Heinrich Laves, Lüder Alexander Kahrs, Tobias Ortmaier

Int. J. Comput. Assist. Radiol. Surg., 2016