Pivot calibration concept for sensor attached mobile c-arms. - Sing Chun Lee; Matthias Seibold; Philipp Fürnstahl; Mazda Farshad; Nassir Navab (Image-Guided Procedures, 2020)

pix2xray: converting RGB images into X-rays using generative adversarial networks. - Mustafa Haiderbhai; Sergio Ledesma; Sing Chun Lee; Matthias Seibold; Philipp Fürnstahl; Nassir Navab; Pascal Fallavollita (Int. J. Comput. Assist. Radiol. Surg., 2020)

Acoustic signal analysis of instrument-tissue interaction for minimally invasive interventions. - Daniel Ostler; Matthias Seibold; Jonas Fuchtmann; Nicole Samm; Hubertus Feussner; Dirk Wilhelm; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2020)

Acoustic-Based Spatio-Temporal Learning for Press-Fit Evaluation of Femoral Stem Implants. - Matthias Seibold; Armando Hoch; Daniel Suter; Mazda Farshad; Patrick Oliver Zingg; Nassir Navab; Philipp Fürnstahl (MICCAI (4), 2021)

Towards markerless surgical tool and hand pose estimation. - Jonas Hein; Matthias Seibold; Federica Bogo; Mazda Farshad; Marc Pollefeys; Philipp Fürnstahl; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2021)

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data. - Mane Margaryan; Matthias Seibold; Indu Joshi; Mazda Farshad; Philipp Fürnstahl; Nassir Navab (MICAD, 2022)

Conditional Generative Data Augmentation for Clinical Audio Datasets. - Matthias Seibold; Armando Hoch; Mazda Farshad; Nassir Navab; Philipp Fürnstahl (MICCAI (8), 2022)

Sonification as a Reliable Alternative to Conventional Visual Surgical Navigation. - Sasan Matinfar; Mehrdad Salehi; Daniel Suter; Matthias Seibold; Navid Navab; Shervin Dehghani; Florian Wanivenhaus; Philipp Fürnstahl; Mazda Farshad; Nassir Navab (CoRR, 2022)

Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development. - Marine Y. Shao; Tamara Vagg; Matthias Seibold; Mitchell Doughty (J. Imaging, 2022)

HAPPY: Hip Arthroscopy Portal Placement Using Augmented Reality. - Tianyu Song 002; Michael Sommersperger; The Anh Baran; Matthias Seibold; Nassir Navab (J. Imaging, 2022)

Translation of Medical AR Research into Clinical Practice. - Matthias Seibold; José Miguel Spirig; Hooman Esfandiari; Mazda Farshad; Philipp Fürnstahl (J. Imaging, 2023)

Deep Learning-based Acoustic Sensing for Medical Applications (Deep Learning-basierte Akustische Signalverarbeitung für Medizinische Anwendungen) - Matthias Seibold (2023)

Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process. - Nassir Navab; Alejandro Martin-Gomez; Matthias Seibold; Michael Sommersperger; Tianyu Song 002; Alexander Winkler; Kevin Yu; Ulrich Eck (J. Imaging, 2023)

Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing. - Aidana Massalimova; Maikel Timmermans; Nicola Cavalcanti; Daniel Suter; Matthias Seibold; Fabio Carrillo; Christoph J. Laux; Reto Sutter; Mazda Farshad; Kathleen Denis; Philipp Fürnstahl (Artif. Intell. Medicine, 2023)

Spatial Context Awareness in Surgery Through Sound Source Localization. - Matthias Seibold; Ali Bahari Malayeri; Philipp Fürnstahl (MICCAI (6), 2024)

Dataset for Vibroacoustic Detection of Pedicle Screw Loosening. - Matthias Seibold (IEEE DataPort, 2024)

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction. - Luohong Wu; Nicola Alessandro Cavalcanti; Matthias Seibold; Giuseppe Loggia; Lisa Reissner; Jonas Hein; Silvan Beeler; Arnd Viehöfer; Stephan Wirth; Lilian Calvet; Philipp Fürnstahl (Comput. Biol. Medicine, 2025)

A novel augmented reality-based simulator for enhancing orthopedic surgical training. - Luohong Wu; Matthias Seibold; Nicola Alessandro Cavalcanti; Jonas Hein; Tatiana Gerth; Roni Lekar; Armando Hoch; Lazaros Vlachopoulos; Helmut Grabner; Patrick Oliver Zingg; Mazda Farshad; Philipp Fürnstahl (Comput. Biol. Medicine, 2025)

ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video. - Ali Bahari Malayeri; Matthias Seibold; Nicola Cavalcanti; Jonas Hein; Sascha Jecklin; Lazaros Vlachopoulos; Sandro Fucentese; Sandro Hodel; Philipp Fürnstahl (CoRR, 2025)

A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening. - Matthias Seibold; Bastian Sigrist; Tobias Götschi; Jonas Widmer; Sandro Hodel; Mazda Farshad; Nassir Navab; Philipp Fürnstahl; Christoph J. Laux (Medical Biol. Eng. Comput., 2025)

UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions. - Luohong Wu; Matthias Seibold; Nicola Alessandro Cavalcanti; Giuseppe Loggia; Lisa Reissner; Bastian Sigrist; Jonas Hein; Lilian Calvet; Arnd Viehöfer; Philipp Fürnstahl (CoRR, 2025)

Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization. - Roni Lekar; Tatiana Gerth; Sergey Prokudin; Matthias Seibold; Reto Bürgin; Benjamin Vella; Armando Hoch; Siyu Tang 001; Philipp Fürnstahl; Helmut Grabner (CoRR, 2025)