Endoscopic bladder image registration using sparse graph cuts. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch; Achraf Ben-Hamadou (ICIP, 2010)

Planarity-enforcing higher-order graph cut. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch (ICIP, 2011)

Contrast-enhancing seam detection and blending using graph cuts. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch (ICPR, 2012)

Graph based construction of textured large field of view mosaics for bladder cancer diagnosis. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch; François Guillemin (Pattern Recognit., 2012)

Fast mosaicing of cystoscopic images from dense correspondence: Combined SURF and TV-L1 optical flow method. - Sharib Ali; Christian Daul; Thomas Weibel; Walter Blondel (ICIP, 2013)

Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopiqueDiscrete energy minimization models for cystoscopic cartography. - Thomas Weibel (2013)

Modellbasiertes Lernen in der Oberflächeninspektion. - Henrike Stephani; Thomas Weibel; Ali Moghiseh (Autom., 2017)

Rockwell Adhesion Test - Approach to Standard Modernization. - Damjan Hatic; Xiaoyin Cheng; Thomas Weibel; Markus Rauhut; Hans Hagen (EuroVis (Posters), 2020)

Deep learning for image based shelve inventories. - Oliver Müller; Chiara Fend; Ali Moghiseh; Katja Schladitz; Henrike Stephani; Thomas Weibel (ISIVC, 2021)

Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning. - Lars Nieradzik; Jördis Sieburg-Rockel; Stephanie Helmling; Janis Keuper; Thomas Weibel; Andrea Olbrich; Henrike Stephani (CoRR, 2023)