Intuitive Visualisierung von Zielregionen in der minimal invasiven Chirurgie mittels projektorbasierter Erweiterter Realität. - Oliver Weede; Thomas Stark; Beat P. Müller-Stich; Heinz Wörn (CURAC, 2010)

Patient-specific estimation of detailed cochlear shape from clinical CT images. - Hans Martin Kjer; Jens Fagertun; Wilhelm Wimmer; Nicolas Gerber; Sergio Vera; Livia Barazzetti; Nerea Mangado Lopez; Mario Ceresa; Gemma Piella; Thomas Stark; Martin Stauber; Mauricio Reyes 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. - Thomas Stark; Michael Wurm; Hannes Taubenböck; Xiao Xiang Zhu 001 (JURSE, 2019)

Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN. - Dorothee Stiller; Thomas Stark; Michael Wurm; Stefan W. Dech; Hannes Taubenböck (JURSE, 2019)

Modelling the impact of the urban spatial structure on the choice of residential location using 'big earth data' and machine learning. - Michael Wurm; Matthias Weigand; Thomas Stark; Jan Goebel; Gert G. Wagner; Hannes Taubenböck (JURSE, 2019)

Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies. - Thomas Stark; Michael Wurm; Xiao Xiang Zhu 001; Hannes Taubenböck (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling. - Michael Wurm; Ariane Droin; Thomas Stark; Christian Geiß; Wolfgang Sulzer; Hannes Taubenböck (ISPRS Int. J. Geo Inf., 2021)

Development and Evaluation of an Improved Apparatus for Measuring the Emissivity at High Temperatures. - Mariacarla Arduini; Jochen Manara; Thomas Stark; Hans-Peter Ebert; Jürgen Hartmann (Sensors, 2021)

Using CNNs on Sentinel-2 data for road traffic noise modelling. - Jeroen Staab; Thomas Stark; Michael Wurm; Kathrin Wolf; Marco Dallavalle; Arthur Schady; Tobia Lakes; Hannes Taubenböck (JURSE, 2023)

Detecting challenging urban environments using a few-shot meta-learning approach. - Thomas Stark; Michael Wurm; Xiao Xiang Zhu 001; Hannes Taubenböck (JURSE, 2023)

Efficiency of CNNs for Building Extraction: Comparative Analysis of Performance and Time. - Dorothee Stiller; Thomas Stark; Verena Strobl; Maike Leupold; Michael Wurm; Hannes Taubenböck (JURSE, 2023)

Revealing landslide exposure of informal settlements in Medellín using Deep Learning. - Michael Wurm; Raphael Tubbesing; Thomas Stark; Marlene Kühnl; Marta Sapena; Wolfgang Sulzer; Hannes Taubenböck (JURSE, 2023)

Ai-Based Building Instance Segmentation in Formal and Informal Settlements. - Philipp Schuegraf; Dorothee Stiller; Jiaojiao Tian; Thomas Stark; Michael Wurm; Hannes Taubenböck; Ksenia Bittner (IGARSS, 2024)

Quantifying Uncertainty in Slum Detection: Advancing Transfer Learning With Limited Data in Noisy Urban Environments. - Thomas Stark; Michael Wurm; Xiao Xiang Zhu 001; Hannes Taubenböck (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Instance Segmentation of Informal Buildings in Medellín for Assessing Population at Risk from Landslides. - Moritz Hertrich; Dorothee Stiller; Marta Sapena; Thomas Stark; Patrick Rose; Michael Wurm; Hannes Taubenböck (JURSE, 2025)

Urban Tree Detection: Comparing YOLOv8 and DeepForest for Accurate Single-Tree Identification from Aerial Imagery. - Thomas Stark; Julia Pardo; Michael Wurm; Tobias Leichtle; Klaus Martin; Hannes Taubenböck (JURSE, 2025)

GDP Estimation using a Deep Learning Fusion Model for Multi-Source Remote Sensing Data. - Thomas Stark; Michael Wurm; Eleanor Stokes; Karen C. Seto; Hannes Taubenböck (JURSE, 2025)

Robust signal recovery in Hadamard spaces. - Georg Köstenberger; Thomas Stark (J. Multivar. Anal., 2025)