Daniel Drömann

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 5

Top Topics

Microscopy Images

Long Short Term Memory

Cancer Detection

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. Int. J. Comput. Assist. Radiol. Surg. 14 (11) (2019)
Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. Bildverarbeitung für die Medizin (2019)
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. CoRR (2019)
Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. CoRR (2018)
Maximilian Neidhardt, Omer Rajput, Daniel Drömann, Alexander Schlaefer
Mobile C-arm Deformation and its implication on Stereoscopic Localization. CURAC (2015)
Nikolas Leßmann, Daniel Drömann, Alexander Schlaefer
Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. Int. J. Comput. Assist. Radiol. Surg. 9 (2) (2014)
Sebastian Otte, Christoph Otte, Alexander Schlaefer, Lukas Wittig, Gereon Hüttmann, Daniel Drömann, A. Zeli
OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. MLSP (2013)
Nikolas Leßmann, Julian Sulikowski, Pedro Nevoa, Toni Kral, Daniel Drömann, Alexander Schlaefer
Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie. CURAC (2012)