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)

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 (Image-Guided Procedures, 2017)

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)

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 (Image-Guided Procedures, 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)

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)

Semantic denoising autoencoders for retinal optical coherence tomography. - Max-Heinrich Laves; Sontje Ihler; Lüder Alexander Kahrs; Tobias Ortmaier (CoRR, 2019)

Retinal OCT disease classification with variational autoencoder regularization. - Max-Heinrich Laves; Sontje Ihler; Lüder A. Kahrs; 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)

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)

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. - Max-Heinrich Laves; Sontje Ihler; Karl-Philipp Kortmann; Tobias Ortmaier (CoRR, 2019)

Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. - Sontje Ihler; Felix Kuhnke; Max-Heinrich Laves; Tobias Ortmaier (MICCAI (3), 2020)

Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. - Max-Heinrich Laves; Malte Tölle; Tobias Ortmaier (UNSURE/GRAIL@MICCAI, 2020)

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. - Max-Heinrich Laves; Sontje Ihler; Jacob Friedemann Fast; Lüder A. Kahrs; Tobias Ortmaier (MIDL, 2020)

Calibration of Model Uncertainty for Dropout Variational Inference. - Max-Heinrich Laves; Sontje Ihler; Karl-Philipp Kortmann; Tobias Ortmaier (CoRR, 2020)

Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. - Sontje Ihler; Max-Heinrich Laves; Tobias Ortmaier (CoRR, 2020)

A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging. - Malte Tölle; Max-Heinrich Laves; Alexander Schlaefer (MIDL, 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)

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)

Posterior Temperature Optimization in Variational Inference. - Max-Heinrich Laves; Malte Tölle; Alexander Schlaefer (CoRR, 2021)

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 (Computer-Aided Diagnosis, 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; et al. (CoRR, 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)

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 (IEEE DataPort, 2022)