3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies. - Eva Schnider; Antal Horváth; Georg Rauter; Azhar Zam; Magdalena Müller-Gerbl; Philippe C. Cattin (MLMI@MICCAI, 2020)

Quantitative Evaluation of the Thickness of the Available Manipulation Volume Inside the Knee Joint Capsule for Minimally Invasive Robotic Unicondylar Knee Arthroplasty. - Manuela Eugster; Esther I. Zoller; Philipp Krenn; Sandra Blache; Niklaus F. Friederich; Magdalena Müller-Gerbl; Philippe C. Cattin; Georg Rauter (IEEE Trans. Biomed. Eng., 2021)

Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference. - Eva Schnider; Antal Huck; Mireille Toranelli; Georg Rauter; Magdalena Müller-Gerbl; Philippe C. Cattin (Int. J. Comput. Assist. Radiol. Surg., 2022)

Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images. - Eva Schnider; Antal Huck; Mireille Toranelli; Georg Rauter; Azhar Zam; Magdalena Müller-Gerbl; Philippe C. Cattin (CoRR, 2022)

Manipulation Volume inside the Knee Joint Capsule. - Manuela Eugster; Esther I. Zoller; Philipp Krenn; Sandra Blache; Niklaus F. Friederich; Magdalena Müller-Gerbl; Philippe C. Cattin; Georg Rauter (IEEE DataPort, 2022)

Musculoskeletal model-based control strategy of an over-actuated glenohumeral simulator to assess joint biomechanics. - Jeremy Genter; Georg Rauter; Magdalena Müller-Gerbl; Annegret Mündermann; Daniel Baumgartner (Autom., 2023)

Improved distinct bone segmentation in upper-body CT through multi-resolution networks. - Eva Schnider; Julia Wolleb; Antal Huck; Mireille Toranelli; Georg Rauter; Magdalena Müller-Gerbl; Philippe C. Cattin (Int. J. Comput. Assist. Radiol. Surg., 2023)