14 Einträge gefunden

1. Deep learning based segmentation of cervical blood vessels in ultrasound images

   1. Sonntag, T.
   2. Bauer, M.
   3. Sprenger, Johanna
   4. Gerlach, Stefan
   5. Breitfeld, Philipp
   6. Schlaefer, Alexander

   2022 - TUHH Open Research
2. Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

   1. Neidhardt, Maximilian
   2. Bengs, Marcel
   3. Latus, Sarah
   4. Gerlach, Stefan
   5. Cyron, Christian J.
   6. Sprenger, Johanna
   7. Schlaefer, Alexander

   2022 - TUHH Open Research - frei zugänglich
3. Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking

   1. Sprenger, Johanna
   2. Bengs, Marcel
   3. Gerlach, Stefan
   4. Neidhardt, Maximilian
   5. Schlaefer, Alexander

   2022 - TUHH Open Research - frei zugänglich
4. Surface scanning for navigation using high-speed optical coherence tomography

   1. Sprenger, Johanna
   2. Neidhardt, Maximilian
   3. Latus, Sarah
   4. Grube, Sarah
   5. Fischer, Martin
   6. Schlaefer, Alexander

   2022 - TUHH Open Research - frei zugänglich
5. In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs

   1. Sprenger, Johanna
   2. Neidhardt, Maximilian
   3. Schlüter, Matthias
   4. Latus, Sarah
   5. Gosau, Tobias
   6. Kemmling, Julia
   7. Feldhaus, Susanne

   2021 - TUHH Open Research
6. Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks

   1. Bargsten, Lennart
   2. Riedl, Katharina A.
   3. Wissel, Tobias
   4. Brunner, Fabian J.
   5. Schaefers, Klaus
   6. Sprenger, Johanna
   7. Grass, Michael

   2021 - TUHH Open Research
7. Tracking heart surface features to determine myocardial contrast agent enrichment

   1. Sprenger, Johanna
   2. Petersen, Johannes
   3. Neumann, Niklas
   4. Reichenspurner, Hermann
   5. Russ, Detlef
   6. Detter, Christian
   7. Schlaefer, Alexander

   2021 - TUHH Open Research - frei zugänglich
8. Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning

   1. Abdolazizi, Kian Philipp
   2. Linka, Kevin
   3. Sprenger, Johanna
   4. Neidhardt, Maximilian
   5. Schlaefer, Alexander
   6. Cyron, Christian J.

   2021 - TUHH Open Research - frei zugänglich
9. Automated robotic surface scanning with optical coherence tomography

   1. Sprenger, Johanna
   2. Saathoff, Thore Lübbo Ilmari
   3. Schlaefer, Alexander

   2021 - TUHH Open Research
10. A novel optical needle probe for deep learning-based tissue elasticity characterization

    1. Mieling, Till Robin
    2. Sprenger, Johanna
    3. Latus, Sarah
    4. Holstein, Lennart
    5. Schlaefer, Alexander

    2021 - TUHH Open Research - frei zugänglich
11. Rupture detection during needle insertion using complex OCT data and CNNs

    1. Latus, Sarah
    2. Sprenger, Johanna
    3. Neidhardt, Maximilian
    4. Schädler, Julia
    5. Ron, Alexandra
    6. Fitzek, Antonia
    7. Schlüter, Matthias

    2021 - TUHH Open Research - frei zugänglich
12. Concentration‐specific constitutive modeling of gelatin based on artificial neural networks

    1. Abdolazizi, Kian Philipp
    2. Linka, Kevin
    3. Sprenger, Johanna
    4. Neidhardt, Maximilian
    5. Schlaefer, Alexander
    6. Cyron, Christian J.

    2021 - TUHH Open Research - frei zugänglich
13. Synthesizing strategies for needle steering in gelatin phantoms

    1. Rogalla, Antje
    2. Lehmann, Sascha
    3. Neidhardt, Maximilian
    4. Sprenger, Johanna
    5. Bengs, Marcel
    6. Schlaefer, Alexander
    7. Schupp, Sibylle

    2020 - TUHH Open Research
14. High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images

    1. Schlüter, Matthias
    2. Glandorf, Lukas
    3. Sprenger, Johanna
    4. Gromniak, Martin
    5. Neidhardt, Maximilian
    6. Saathoff, Thore
    7. Schlaefer, Alexander

    2020 - TUHH Open Research