Publikationen

Veröffentlichungen

  • Fast, Jacob F.; Westermann, Konrad A.; Laves, Max-Heinrich; Jungheim, Michael; Ptok, Martin; Ortmaier, Tobias; Kahrs, Lüder A. (2020): Droplet applicator module for reproducible and controlled endoscopic laryngeal adductor reflex stimulationBiomicrofluidics
    DOI: 10.1063/5.0004351
  • Busch, A.; Fink, D.; Laves, M.-H.; Ziaukas, Z.; Wielitzka, W.; Ortmaier, T. (2019): Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural NetworksProceedings of the 26th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2019)
  • 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
  • Laves, MH.; Latus, S.; Bergmeier, J.; Ortmaier, T.; Kahrs, LA.; Schlaefer, A. (2019): Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgeryComputer Assisted Radiology and Surgery
    DOI: 10.1007/s11548-019-01969-3
    arXiv: 1901.06490
  • Laves, MH.; Kahrs, LA.; Ortmaier, T. (2018): Volumetric 3D stitching of optical coherence tomography volumesCurrent Directions in Biomedical Engineering
    DOI: 10.1515/cdbme-2018-0079
  • Laves, MH.; Schoob, A.; Kahrs, LA.; Pfeiffer, T.; Huber, R.; Ortmaier, T. (2017): Feature tracking for automated volume of interest stabilization on 4D-OCT imagesSPIE Medical Imaging
    DOI: 10.1117/12.2255090

Artikel

  • Fast, Jacob F.; Westermann, Konrad A.; Laves, Max-Heinrich; Jungheim, Michael; Ptok, Martin; Ortmaier, Tobias; Kahrs, Lüder A. (2020): Droplet applicator module for reproducible and controlled endoscopic laryngeal adductor reflex stimulationBiomicrofluidics
    DOI: 10.1063/5.0004351
  • Laves, MH.; Bicker, J.; Kahrs, L.A.; Ortmaier, T. (2019): A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentationInternational Journal of Computer Assisted Radiology and Surgery
    DOI: 10.1007/s11548-018-01910-0
    arXiv: 1807.06081
  • Schoob, A.; Laves, M.-H.; Kahrs, L. A.; Ortmaier, T. (2016): Soft tissue motion tracking with application to tablet-based incision planning in laser surgeryInternational Journal of Computer Assisted Radiology and Surgery
    DOI: 10.1007/s11548-016-1420-5