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2020

  • D.B. Ellebrecht (a,c), S. Latus (b), A. Schlaefer (b), T. Keck (c), N. Gessert (b) (a) LungenClinic Grosshansdorf, Department of Thoracic Surgery, Grosshansdorf, Germany (b) Hamburg University of Technology, Institute of Medical Technology, Hamburg, Germany (c) University Medical Center Schleswig-Holstein, Campus Lübeck, Department of Surgery, Lübeck, Germany (2020). Towards an Optical Biopsy during Visceral Surgical Interventions. Visceral Medicine. [Abstract] [doi] [BibTex]

  • M. Bengs, S. Westermann, N. Gessert, D. Eggert, A. O. H. Gerstner, N. A. Mueller, C. Betz, W. Laffers, A. Schlaefer (2020). Spatio-spectral deep learning methods forin-vivohyperspectral laryngeal cancer detection. SPIE Medical Imaging 2020: Computer-Aided Diagnosis. in print. [BibTex]

  • M. Neidhardt, M. Bengs, S. Latus, M. Schlüter, T. Saathoff, A. Schlaefer (2020). Deep Learning for High Speed Optical Coherence Elastography. IEEE International Symposium on Biomedical Imaging accepted. [BibTex]

  • M. Schlüter, L. Glandorf, J. Sprenger, M. Gromniak, M. Neidhardt, T. Saathoff, A. Schlaefer (2020). High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. IEEE International Symposium on Biomedical Imaging accepted. [Abstract] [www] [BibTex]

  • N. Gessert, T. Sentker, F. Madesta, R. Schmitz, H. Kniep, I. Baltruschat, R. Werner, 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]

  • N. Gessert, A. Schlaefer (2020). Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. 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] [www] [BibTex]

  • N. Gessert, M. Bengs, 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]