Towards robust vision-based self-localization of vehicles in dense urban environments. - Marian Himstedt; Alen Alempijevic; Liang Zhao 003; Shoudong Huang; Hans-Joachim Boehme (IROS, 2012)

Awakening history: Preparing a museum tour guide robot for augmenting exhibits. - Marc Donner; Marian Himstedt; Sven Hellbach; Hans-Joachim Boehme (ECMR, 2013)

What's around me: Towards non-negative matrix factorization based localization. - Sven Hellbach; Marian Himstedt; Hans-Joachim Boehme (ECMR, 2013)

Find Rooms for Improvement: Towards Semi-automatic Labeling of Occupancy Grid Maps. - Sven Hellbach; Marian Himstedt; Frank Bahrmann; Martin Riedel; Thomas Villmann; Hans-Joachim Böhme (ICONIP (3), 2014)

Large scale place recognition in 2D LIDAR scans using Geometrical Landmark Relations. - Marian Himstedt; Jan Frost; Sven Hellbach; Hans-Joachim Böhme; Erik Maehle (IROS, 2014)

Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps. - Sven Hellbach; Marian Himstedt; Frank Bahrmann; Martin Riedel; Thomas Villmann; Hans-Joachim Böhme (WSOM, 2014)

Geometry matters: Place recognition in 2D range scans using Geometrical Surface Relations. - Marian Himstedt; Erik Maehle (ECMR, 2015)

Semantic Monte-Carlo localization in changing environments using RGB-D cameras. - Marian Himstedt; Erik Maehle (ECMR, 2017)

An Autonomous Forklift with 3D Time-of-Flight Camera-Based Localization and Navigation. - Ulrich Behrje; Marian Himstedt; Erik Maehle (ICARCV, 2018)

Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. - Fenja Falta; Lasse Hansen; Marian Himstedt; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2022)

Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization. - Abhishek Dinkar Jagtap; Mattias P. Heinrich; Marian Himstedt (CoRR, 2022)

Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students. - Hanna Siebert; Marian Himstedt; Mattias P. Heinrich (CoRR, 2022)

Weakly supervised airway orifice segmentation in video bronchoscopy. - Ron Keuth; Mattias P. Heinrich; Martin Eichenlaub; Marian Himstedt (Image Processing, 2023)

Addressing the Bias of the Dice Coefficient - Semantic Segmentation of Peripheral Airways in Lung CT. - Fenja Falta; Mattias P. Heinrich; Marian Himstedt (Bildverarbeitung für die Medizin, 2024)

Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks. - Malte Rippa; Ruben Schulze; Marian Himstedt; Felice Burn (CoRR, 2024)

Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge. - Ron Keuth; Mattias P. Heinrich; Martin Eichenlaub; Marian Himstedt (Int. J. Comput. Assist. Radiol. Surg., 2024)

Improving Applicability of Deep Learning based Token Classification models during Training. - Anket Mehra; Malte Prieß; Marian Himstedt (CoRR, 2025)

BronchoGAN: anatomically consistent and domain-agnostic image-to-image translation for video bronchoscopy. - Ahmad Soliman; Ron Keuth; Marian Himstedt (Int. J. Comput. Assist. Radiol. Surg., 2025)