Max-Heinrich Laves

27 papers Journal 20Unranked 7

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