Max-Heinrich Laves

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 27

Top Topics

Bayesian Models

Medical Imaging

Top Venues

Medical Imaging: Image-Guided Procedures

Int. J. Comput. Assist. Radiol. Surg.

Publications

Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. Medical Image Anal. 78 (2022)
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. CoRR (2022)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. Medical Imaging: Computer-Aided Diagnosis (2022)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction. CoRR (2022)
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
Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses. CoRR (2022)
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer
Posterior Temperature Optimization in Variational Inference. CoRR (2021)
Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. CoRR (2021)
Jacob Friedemann Fast, Hardik R. Dava, Adrian Karl Rüppel, Dennis Kundrat, Maurice Krauth, Max-Heinrich Laves, Svenja Spindeldreier, Lüder A. Kahrs, Martin Ptok
Stereo Laryngoscopic Impact Site Prediction for Droplet-Based Stimulation of the Laryngeal Adductor Reflex. IEEE Access 9 (2021)
Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging. MIDL (2021)
Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. MIDL (2020)
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. UNSURE/GRAIL@MICCAI (2020)
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
Calibration of Model Uncertainty for Dropout Variational Inference. CoRR (2020)
Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. MICCAI (3) (2020)
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. CoRR (2020)
Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. CoRR (2020)
Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier
Semantic denoising autoencoders for retinal optical coherence tomography. CoRR (2019)
Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation. Int. J. Comput. Assist. Radiol. Surg. 14 (3) (2019)
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier
Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. Medical Imaging: Image-Guided Procedures (2019)
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. CoRR (2019)
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases. CoRR (2019)
Max-Heinrich Laves, Sarah Latus, Jan Bergmeier, Tobias Ortmaier, Lüder A. Kahrs, Alexander Schlaefer
Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. CoRR (2019)
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier
Retinal OCT disease classification with variational autoencoder regularization. CoRR (2019)
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. CoRR (2019)
Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation. CoRR (2018)
Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier
Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. CoRR (2018)
Max-Heinrich Laves, Andreas Schoob, Lüder A. Kahrs, Tom Pfeiffer, Robert Huber, Tobias Ortmaier
Feature tracking for automated volume of interest stabilization on 4D-OCT images. Medical Imaging: Image-Guided Procedures (2017)
Andreas Schoob, Max-Heinrich Laves, Lüder Alexander Kahrs, Tobias Ortmaier
Soft tissue motion tracking with application to tablet-based incision planning in laser surgery. Int. J. Comput. Assist. Radiol. Surg. 11 (12) (2016)