Publikationen

Veröffentlichungen

  • Ihler, S.; Laves, MH.; Ortmaier, T. (2019): Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal FoldsMedical 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 EstimationComputer-Assisted Radiology and Surgery (CARS)
  • Ihler, S.; Seifert, J.; Laves, MH., Kahrs, LA.; Ptok, M.; Ortmaier, T. (2019): Vergleichsstudie von objektbasiertem Hochgeschwindigkeits-Tracking der GlottisComputer- und Roboter-Assistierte Chirurgie (CURAC)
  • Laves, MH.; Ihler, S.; Kahrs, LA.; Ortmaier, T. (2019): Semantic denoising autoencoders for retinal optical coherence tomographyEuropean 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 safetyCurrent 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 tomographySPIE 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 Inference4th 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 CasesMedical 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 PriorMedical 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 regularizationComputer 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 ServoingProceedings of The Hamlyn Symposium on Medical Robotics 2018, London, England