2020

• M. Neidhardt and M. Bengs and S. Latus and M. Schlüter and T. Saathoff and A. Schlaefer (2020). 4D Deep learning for real-time volumetric optical coherence elastography. International Journal of Computer Assisted Radiology and Surgery 2020 1861-6429 [Abstract] [doi] [www] [BibTex]
  
  
• M. Neidhardt and M. Bengs and S. Latus and M. Schlüter and T. Saathoff and A. Schlaefer (2020). Deep Learning for High Speed Optical Coherence Elastography. IEEE International Symposium on Biomedical Imaging 1583-1586 [Abstract] [doi] [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. 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]
  
  
• 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]
  
  
• 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. 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 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]
  
  
• 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]
  
  
• 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. Schlüter and L. Glandorf and J. Sprenger and M. Gromniak and M. Neidhardt and T. Saathoff and A. Schlaefer (2020). High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. IEEE International Symposium on Biomedical Imaging 1979-1982 [Abstract] [doi] [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]
  
  
• M. Neidhardt and N. Gessert and T. Gosau and J. Kemmling and S. Feldhaus and U. Schumacher and A. Schlaefer (2020). Force estimation from 4D OCT data in a human tumor xenograft mouse model. Current Directions in Biomedical Engineering. 6. (1), 20200022 [Abstract] [doi] [www] [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]