-
Ihler, S.; Laves, MH.; Ortmaier, T.
(2019):
Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal Folds,
Medical Imaging with Deep Learning
arXiv:
https://openreview.net/forum?id=S1xTGVhE5N
-
Ihler, S.; Schulz, JP., Laves MH.; Kahrs, LA; Ortmaier, T.
(2019):
Towards Patient-Specific Neural Networks for Image-Based Motion Estimation,
Computer-Assisted Radiology and Surgery (CARS)
-
Ihler, S.; Seifert, J.; Laves, MH., Kahrs, LA.; Ptok, M.; Ortmaier, T.
(2019):
Vergleichsstudie von objektbasiertem Hochgeschwindigkeits-Tracking der Glottis,
Computer- und Roboter-Assistierte Chirurgie (CURAC)
-
Laves, MH.; Ihler, S.; Kahrs, LA.; Ortmaier, T.
(2019):
Semantic denoising autoencoders for retinal optical coherence tomography,
European Conferences on Biomedical Optics
DOI:
10.1117/12.2526936
arXiv:
1903.09809
-
Laves, MH.; Ihler, S.; Kahrs, LA.; Ortmaier, T.
(2019):
Quantifying the uncertainty of deep learning-based computer-aided diagnosis for patient safety,
Current Directions in Biomedical Engineering
DOI:
10.1515/cdbme-2019-0057
-
Laves, MH.; Ihler, S.; Kahrs, LA.; Ortmaier, T.
(2019):
Deep-learning-based 2.5 D flow field estimation for maximum intensity projections of 4D optical coherence tomography,
SPIE Medical Imaging
DOI:
10.1117/12.2512952
-
Laves, MH.; Ihler, S.; Kortmann, KP.; Ortmaier, T.
(2019):
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference,
4th workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada.
arXiv:
1909.13550
-
Laves, MH.; Ihler, S.; Ortmaier, T.
(2019):
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don’t know" for Ambiguous Cases,
Medical Imaging with Deep Learning
arXiv:
https://openreview.net/pdf?id=rJevPsX854
-
Laves, MH.; Ihler, S.; Ortmaier, T.
(2019):
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior,
Medical Imaging with Deep Learning
arXiv:
https://openreview.net/forum?id=S1ehZFQ15E
-
Laves, MH.; Ihler, S.; Ortmaier, T.
(2019):
Retinal OCT disease classification with variational autoencoder regularization,
Computer Assisted Radiology and Surgery
DOI:
10.1007/s11548-019-01969-3
arXiv:
1904.00790
-
Modes, V.; Ihler, S.; Ortmaier, T.; Nabavi, A.; Kahrs, L. A.; Burgner-Kahrs, J.
(2018):
Towards Concentric Tube Robots for Microsurgery: First Results in Eye-to-hand Visual Servoing,
Proceedings of The Hamlyn Symposium on Medical Robotics 2018, London, England
