Matthias Seibold

According to our database, Matthias Seibold authored at least 26 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments.

Jonas Hein, Lilian Calvet, Matthias Seibold, Siyu Tang, Marc Pollefeys, Philipp Fürnstahl

CoRR, March, 2026

NeuralBoneReg: An instance-specific label-free point cloud-based method for multi-modal bone surface registration.

Luohong Wu, Matthias Seibold, Nicola Alessandro Cavalcanti, Yunke Ao, Roman Flepp, Aidana Massalimova, Lilian Calvet, Philipp Fürnstahl

Medical Image Anal., 2026

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

Comput. Medical Imaging Graph., 2026

2025

NeuralBoneReg: A Novel Self-Supervised Method for Robust and Accurate Multi-Modal Bone Surface Registration.

Luohong Wu, Matthias Seibold, Nicola Alessandro Cavalcanti, Yunke Ao, Roman Flepp, Aidana Massalimova, Lilian Calvet, Philipp Fürnstahl

CoRR, November, 2025

Sound Source Localization for Spatial Mapping of Surgical Actions in Dynamic Scenes.

Jonas Hein, Lazaros Vlachopoulos, Maurits Geert Laurent Olthof, Bastian Sigrist, Philipp Fürnstahl, Matthias Seibold

CoRR, October, 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, Philipp Fürnstahl, Helmut Grabner

CoRR, June, 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., April, 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, February, 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

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

2024

Dataset for Vibroacoustic Detection of Pedicle Screw Loosening.

Matthias Seibold

Dataset, July, 2024

Spatial Context Awareness in Surgery Through Sound Source Localization.

Matthias Seibold, Ali Bahari Malayeri, Philipp Fürnstahl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, October, 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, Alexander Winkler, Kevin Yu, Ulrich Eck

J. Imaging, January, 2023

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

Matthias Seibold

PhD thesis, 2023

Translation of Medical AR Research into Clinical Practice.

Matthias Seibold, José Miguel Spirig, Hooman Esfandiari, Mazda Farshad, Philipp Fürnstahl

J. Imaging, 2023

2022

HAPPY: Hip Arthroscopy Portal Placement Using Augmented Reality.

Tianyu Song, Michael Sommersperger, The Anh Baran, Matthias Seibold, Nassir Navab

J. Imaging, 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

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

Conditional Generative Data Augmentation for Clinical Audio Datasets.

Matthias Seibold, Armando Hoch, Mazda Farshad, Nassir Navab, Philipp Fürnstahl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.

Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

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

Pivot calibration concept for sensor attached mobile c-arms.

Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Mazda Farshad, Nassir Navab

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020