Find here an overview of publications of Hidss4Health PHDs from 2020.
- Haller, S., Prakash, M., Hutschenreiter, L., et al. (2020), A Primal-Dual Solver for Large-Scale Tracking-by-Assignment, arXiv:2004.06375 [cs, math].
- Reinartz, I., Weiel, M., and Schug, A. (2020), FRET Dyes Significantly Affect SAXS Intensities of Proteins, Israel Journal of Chemistry 60(7), 725-734.
- Scheikl, P. M., Laschewski, S., Kisilenko, A., et al. (2020), Deep Learning for Semantic Segmentation of Organs and Tissues in Laparoscopic Surgery, Current Directions in Biomedical Engineering 6(1).
- Scheikl, P. M., Scheler, U., Franke, N., et al. (2020), A Simulation Environment for Visual Multi-Agent Reinforcement Learning in Robot-Assisted Laparoscopy, Biomedical engineering 65.
- Scheikl, P. M., Zhebin, J., and Mathis-Ullrich, F. (2020), Path Planning for Robotic Camera Guidance in Laparoscopy, Biomedical engineering 65.
- Seibold, C., Kleesiek, J., Schlemmer, H., et al. (2020), Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs, arXiv:2010.00127 [cs, eess].
