Nils Porsche
Hello,
I am a AI researcher at Flensburg University of Applied Sciences where I contribute to the CLE project; an optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy. The project focuses on:
– Automatic detection of malignancy in CLE images
– Optimization of clinical evaluation parameters
– Virtual CLE-assisted endoscopy
My research interests include self-supervised learning and few-shot learning. I am particularly focused on how machine learning models can acquire robust and transferable representations from limited or unlabeled data, enabling generalization in low-data regimes.
I also investigate related fields such as foundation models and Low-Rank Adaptation (LoRA), with a particular focus on building scalable and data-efficient AI systems.
nils.porsche [at] hs-flensburg.de
Publications:
2026
Optical biopsy of nasal cavity cancer with confocal laser endomicroscopy – a pilot study Journal Article
In: European Archives of Oto-Rhino-Laryngology, vol. 283, no. 3, pp. 1763–1770, 2026, ISSN: 0937-4477, 1434-4726.
Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study Journal Article
In: Oral and Maxillofacial Surgery, vol. 30, no. 1, pp. 21, 2026, ISSN: 1865-1569.
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation Journal Article
In: Machine Learning for Biomedical Imaging, no. MELBA–BVM 2025 Special Issue, pp. 115–125, 2026.
Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN Book Section
In: Handels, Heinz; Breininger, Katharina; Deserno, Thomas; Maier, Andreas; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Ed.): Bildverarbeitung für die Medizin 2026, pp. 203–209, Springer Fachmedien Wiesbaden, Wiesbaden, 2026, ISBN: 978-3-658-51099-2 978-3-658-51100-5, (Series Title: Informatik aktuell).
Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning Book Section
In: Handels, Heinz; Breininger, Katharina; Deserno, Thomas; Maier, Andreas; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Ed.): Bildverarbeitung für die Medizin 2026, pp. 375–380, Springer Fachmedien Wiesbaden, Wiesbaden, 2026, ISBN: 978-3-658-51099-2 978-3-658-51100-5, (Series Title: Informatik aktuell).
Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details Journal Article
In: Veterinary Pathology, 2026.