DIsulfide Mapping PLanner Software Tool. - Andreas M. Kist; Angelika Lampert; Andrias O. O'Reilly (J. Comput. Biol., 2018)

Stytra: An open-source, integrated system for stimulation, tracking and closed-loop behavioral experiments. - Vilim Stih; Luigi Petrucco; Andreas M. Kist; Ruben Portugues (PLoS Comput. Biol., 2019)

Efficient Biomedical Image Segmentation on EdgeTPUs at Point of Care. - Andreas M. Kist; Michael Döllinger (IEEE Access, 2020)

Abstract: Efficient Biomedical Image Segmentation on EdgeTPUs. - Andreas M. Kist; Michael Döllinger (Bildverarbeitung für die Medizin, 2021)

Feature-based image registration in structured light endoscopy. - Andreas M. Kist; Julian Zilker; Michael Döllinger; Marion Semmler (MIDL, 2021)

Deep Learning on Edge TPUs. - Andreas M. Kist (CoRR, 2021)

Efficient Patient Orientation Detection in Videofluoroscopy Swallowing Studies. - Luisa Neubig; René Groh; Melda Kunduk; Deirdre Larsen; Rebecca Leonard; Andreas M. Kist (Bildverarbeitung für die Medizin, 2022)

Efficient and Explainable Deep Neural Networks for Airway Symptom Detection in Support of Wearable Health Technology. - René Groh; Zhengdong Lei; Lisa Martignetti; Nicole Y. K. Li-Jessen; Andreas M. Kist (Adv. Intell. Syst., 2022)

Dataset Pruning using Evolutionary Optimization. - Luisa Neubig; Andreas M. Kist (Bildverarbeitung für die Medizin, 2023)

Compact Convolutional Transformers on Edge TPUs. - Yipeng Sun; Andreas M. Kist (Bildverarbeitung für die Medizin, 2023)

End-to-end Evolutionary Neural Architecture Search for Microcontroller Units. - René Groh; Andreas M. Kist (COINS, 2023)

Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. - Luisa Neubig; Andreas M. Kist (MICCAI (4), 2023)

Impact of Mixed Precision Techniques on Training and Inference Efficiency of Deep Neural Networks. - Marion Dörrich; Mingcheng Fan; Andreas M. Kist (IEEE Access, 2023)

Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing. - Anna-Maria Wölfl; Anne Schützenberger; Katharina Breininger; Andreas M. Kist (Biomed. Signal Process. Control., 2023)

Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search. - Mateo Avila Pava; René Groh; Andreas M. Kist (AutoML, 2024)

Neural Radiance Fields for 3D Reconstruction in Monoscopic Laryngeal Endoscopy. - Belén Lojo Rodríguez; Guilherme Lopes Borges; Marta López-Brea García; Anne Schützenberger; Andreas M. Kist (ISBI, 2024)

SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages. - René Groh; Nina Goes; Andreas M. Kist (CoRR, 2024)

ANNOTE: Annotation of time-series events. - René Groh; Jie Yu Li; Nicole Y. K. Li-Jessen; Andreas M. Kist (Softw. Impacts, 2024)

DeepD3, an open framework for automated quantification of dendritic spines. - Martin H. P. Fernholz; Drago A. Guggiana Nilo; Tobias Bonhoeffer; Andreas M. Kist (PLoS Comput. Biol., 2024)

LLM-driven Baselines for Medical Image Segmentation - A Systematic Analysis. - Jasmin Arjomandi; Luisa Neubig; Andreas M. Kist (Bildverarbeitung für die Medizin, 2025)

Abstract: Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. - Luisa Neubig; Andreas M. Kist (Bildverarbeitung für die Medizin, 2025)

Markerless Tracking-Based Registration for Medical Image Motion Correction. - Luisa Neubig; Deirdre Larsen; Takeshi Ikuma; Markus Kopp; Melda Kunduk; Andreas M. Kist (CoRR, 2025)

EvoVis: Dashboard for Visualizing Evolutionary Neural Architecture Search Algorithms. - Lea Dang; René Groh; Andreas M. Kist (J. Open Source Softw., 2025)