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Max-Heinrich Laves
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2020 – today
- 2022
- [j4]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer
, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. Medical Image Anal. 78: 102382 (2022) - [c7]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. Computer-Aided Diagnosis 2022 - [d1]Jacob Friedemann Fast
Dataset associated with IEEE Access contribution "Stereo laryngoscopic impact site prediction for droplet-based stimulation of the laryngeal adductor reflex". IEEE DataPort, 2022 - [i16]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 abs/2201.12168 (2022) - [i15]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 abs/2201.13081 (2022) - [i14]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. CoRR abs/2202.00986 (2022) - 2021
- [j3]Jacob Friedemann Fast
Stereo Laryngoscopic Impact Site Prediction for Droplet-Based Stimulation of the Laryngeal Adductor Reflex. IEEE Access 9: 112177-112192 (2021) - [c6]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: 745-760 - [i13]Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. CoRR abs/2104.12376 (2021) - [i12]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer:
Posterior Temperature Optimization in Variational Inference. CoRR abs/2106.07533 (2021) - 2020
- [c5]Sontje Ihler
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. MICCAI (3) 2020: 54-64 - [c4]Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier:
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. UNSURE/GRAIL@MICCAI 2020: 81-96 - [c3]Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. MIDL 2020: 393-412 - [i11]Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann
Calibration of Model Uncertainty for Dropout Variational Inference. CoRR abs/2006.11584 (2020) - [i10]Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier:
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. CoRR abs/2007.04928 (2020) - [i9]Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier:
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. CoRR abs/2008.08837 (2020)
2010 – 2019
- 2019
- [j2]Max-Heinrich Laves
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation. Int. J. Comput. Assist. Radiol. Surg. 14(3): 483-492 (2019) - [c2]Max-Heinrich Laves, Sontje Ihler
Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. Image-Guided Procedures 2019: 109510R - [i8]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 abs/1901.06490 (2019) - [i7]Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier:
Semantic denoising autoencoders for retinal optical coherence tomography. CoRR abs/1903.09809 (2019) - [i6]Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier:
Retinal OCT disease classification with variational autoencoder regularization. CoRR abs/1904.00790 (2019) - [i5]Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier:
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. CoRR abs/1908.00788 (2019) - [i4]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 abs/1908.00792 (2019) - [i3]Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. CoRR abs/1909.13550 (2019) - 2018
- [i2]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 abs/1807.06081 (2018) - [i1]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 abs/1810.11205 (2018) - 2017
- [c1]Max-Heinrich Laves, Andreas Schoob, Lüder A. Kahrs
Feature tracking for automated volume of interest stabilization on 4D-OCT images. Image-Guided Procedures 2017: 101350W - 2016
- [j1]Andreas Schoob, Max-Heinrich Laves, Lüder Alexander Kahrs
Soft tissue motion tracking with application to tablet-based incision planning in laser surgery. Int. J. Comput. Assist. Radiol. Surg. 11(12): 2325-2337 (2016)
Coauthor Index
aka: Lüder Alexander Kahrs
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