2020

• M. Schlüter and L. Glandorf and M. Gromniak and T. Saathoff and A. Schlaefer (2020). Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography. Sensors. 20. (9), 2678 [Abstract] [doi] [BibTex]
  
  
• M. Seemann and L. Bargsten and A. Schlaefer (2020). Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation. Current Directions in Biomedical Engineering. 6. (1), 20200015 [Abstract] [doi] [www] [BibTex]
  
  
• N. Gessert and M. Bengs and A. Schlaefer (2020). Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. SPIE Medical Imaging 2020 in print [Abstract] [www] [BibTex]
  
  
• N. Gessert and M. Bengs and J. Krüger and R. Opfer and A.-C. Ostwaldt and P. Manogaran and S. Schippling and A. Schlaefer (2020). 4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation. Medical Imaging with Deep Learning accepted [Abstract] [www] [BibTex]
  
  
• N. Gessert and M. Bengs and M. Schlüter and A. Schlaefer (2020). Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. Medical Image Analysis. 64. (101730), [Abstract] [doi] [www] [BibTex] [pmid]
  
  
• N. Gessert and M. Nielsen and M. Shaikh and R. Werner and A. Schlaefer (2020). Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data. MethodsX. 7. 100864 [Abstract] [doi] [www] [BibTex]
  
  
• S. Gerlach and C. Fürweger and T. Hofmann and A. Schlaefer (2020). Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery. Medical Physics. 47. (9), 3806-3815 [Abstract] [doi] [www] [BibTex]
  
  
• S. Gerlach and F. Siebert and A. Schlaefer (2020). BReP-SNAP-T-54: Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement. Medical Physics. 47. (6), e458 [Abstract] [doi] [www] [BibTex]
  
  
• S. Latus and P. Breitfeld and M. Neidhardt and W. Reip and C. Zöllner and A. Schlaefer (2020). Boundary prediction during epidural punctures based on OCT relative motion analysis. EUR J ANAESTH. 2020. (Volume 37 | e-Supplement 58 | June 2020), [Abstract] [BibTex]
  
  
• N. Gessert and A. Schlaefer (2020). Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. arXiv e-prints. Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. STACOM@MICCAI 2019. Lecture Notes in Computer Science. 375-383 [Abstract] [doi] [www] [BibTex]
  
  
• N. Gessert (2020). Deep learning with multi-dimensional medical image data. TUHH Open Research: Hamburg, Germany [Abstract] [doi] [www] [BibTex]
  
  
• N. Gessert and T. Sentker and F. Madesta and R. Schmitz and H. Kniep and I. Baltruschat and R. Werner and A. Schlaefer (2020). Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Transactions on Biomedical Engineering. 67. (2), 495-503 [Abstract] [doi] [www] [BibTex]
  
  
• R. Mieling and S. Latus and N. Gessert and M. Lutz and A. Schlaefer (2020). Deep learning-based rotation frequency estimation and NURD correction for IVOCT image data. (Suppl1) International Journal of CARS'2020. 15. (1), 162-163 [Abstract] [doi] [BibTex]
  
  
• N. Gessert and J. Krüger and R. Opfer and A.-C. Ostwaldt and P. Manogaran and H. H. Kitzler and S. Schippling and A. Schlaefer (2020). Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs. Computerized Medical Imaging and Graphics. 84. (101772), [Abstract] [doi] [www] [BibTex]
  
  
• S. Gerlach and C. Fürweger and T. Hofmann and A. Schlaefer (2020). Multicriterial CNN based beam generation for robotic radiosurgery of the prostate. Current Directions in Biomedical Engineering. 6. (1), 20200030 [Abstract] [doi] [www] [BibTex]