Robotics Education and Research at Scale: A Remotely Accessible Robotics Development Platform. - Wolfgang Wiedmeyer; Michael Mende; Dennis Hartmann; Rainer Bischoff 002; Christoph Ledermann; Torsten Kröger (ICRA, 2019)

Robot-Based Machining of Unmodeled Objects via Feature Detection in Dense Point Clouds. - Dennis Hartmann; Michael Mende; Denis Stogl; Bjöm Hein; Torsten Kröger (IROS, 2019)

Assessing the Role of Random Forests in Medical Image Segmentation. - Dennis Hartmann; Dominik Müller; Iñaki Soto Rey; Frank Kramer 001 (CoRR, 2021)

MISeval: A Metric Library for Medical Image Segmentation Evaluation. - Dominik Müller; Dennis Hartmann; Philip Meyer; Florian Auer; Iñaki Soto Rey; Frank Kramer 001 (MIE, 2022)

From environmental exploration to clearance measurement - developing mobile robot systems for decommissioning of nuclear power plants. - Ziyuan Chen; Sascha Gentes; Dennis Hartmann; Björn Hein; Siavash Kazemi; Alena Wernke (Autom., 2022)

MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data. - Dennis Hartmann; Verena Schmid; Philip Meyer; Iñaki Soto Rey; Dominik Müller; Frank Kramer 001 (CoRR, 2022)

Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. - Dominik Müller; Dennis Hartmann; Iñaki Soto Rey; Frank Kramer 001 (Bildverarbeitung für die Medizin, 2023)

Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIs. - Katharina Ott; Santiago Cepeda; Dennis Hartmann; Frank Kramer 001; Dominik Müller (GMDS, 2024)

Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening. - Guelsuem Pehlivan; Carl Mathis Wild; Julia Baumgartl; Dennis Hartmann; Nina Ditsch; Frank Kramer 001; Dominik Müller (MIE, 2024)