52 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH15 papers
- ETH ZurichCH11 papers
- University Hospital ZurichCH7 papers
- Technical University of MunichDE5 papers
- Institute for BiomechanicsCH3 papers
- Bern University of Applied SciencesCH2 papers
- King's College LondonGB2 papers
- University College LondonGB2 papers
- University of BaselCH2 papers
- Alberta Bone and Joint Health InstituteCA1 paper
- Brno University of TechnologyCZ1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
27 papers
Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments
Jonas Hein, Lilian Calvet, Matthias Seibold +3
Purpose: Accurate detection and 6D pose estimation of surgical instruments are crucial for many computer-assisted interventions. However, supervised methods lack flexibility for ne…
NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration
Luohong Wu, Matthias Seibold, Nicola A. Cavalcanti +5
In computer- and robot-assisted orthopedic surgery (CAOS), patient-specific surgical plans derived from preoperative imaging define target locations and implant trajectories. Durin…
Segmentation of spinal rootlets across MRI contrasts with RootletSeg
Katerina Krejci, Jiri Chmelik, Sandrine Bedard +5
Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI…
Detection of Autonomic Dysreflexia in Individuals With Spinal Cord Injury Using Multimodal Wearable Sensors
Bertram Fuchs, Mehdi Ejtehadi, Ana Cisnal +5
Autonomic Dysreflexia (AD) is a potentially life-threatening condition characterized by sudden, severe blood pressure (BP) spikes in individuals with spinal cord injury (SCI). Earl…
UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions
Luohong Wu, Matthias Seibold, Nicola A. Cavalcanti +7
Bone surface reconstruction is an essential component of computer-assisted orthopedic surgery(CAOS), forming the foundation for both preoperative planning and intraoperative guidan…
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video
Ali Bahari Malayeri, Matthias Seibold, Nicola Cavalcanti +6
This study aims to advance surgical phase recognition in arthroscopic procedures, specifically Anterior Cruciate Ligament (ACL) reconstruction, by introducing the first arthroscopy…
SPM 25: open source neuroimaging analysis software
Tim M. Tierney, Nicholas A. Alexander, Nicole Labra Avila +17
Statistical Parametric Mapping (SPM) is an integrated set of methods for testing hypotheses about the brain's structure and function, using data from imaging devices. These methods…
Automatic Calibration of a Multi-Camera System with Limited Overlapping Fields of View for 3D Surgical Scene Reconstruction
Tim Flückiger, Jonas Hein, Valery Fischer +2
The purpose of this study is to develop an automated and accurate external camera calibration method for multi-camera systems used in 3D surgical scene reconstruction (3D-SSR), eli…
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
Sascha Jecklin, Youyang Shen, Amandine Gout +8
This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries, including time, cost, radiation, and workflow integration challenges. Recently, our work X…
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Quéau +5
This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo. Our approach employs a pixel-wise…
ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing
Michael T. Kuczynski, Nathan J. Neeteson, Kathryn S. Stok +9
High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of imaging trabecular bone in-vivo. HR-pQCT has a wide range of applications,…
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
Florentin Liebmann, Marco von Atzigen, Dominik Stütz +10
Established surgical navigation systems for pedicle screw placement have been proven to be accurate, but still reveal limitations in registration or surgical guidance. Registration…
Synthetic white balancing for intra-operative hyperspectral imaging
Anisha Bahl, Conor C. Horgan, Mirek Janatka +10
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For calibration purposes, a white reference image…
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti +11
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of ra…
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
Mane Margaryan, Matthias Seibold, Indu Joshi +3
Data augmentation is a valuable tool for the design of deep learning systems to overcome data limitations and stabilize the training process. Especially in the medical domain, wher…
A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
Matthias Seibold, Bastian Sigrist, Tobias Götschi +6
There is an unmet clinical need for developing novel methods to complement and replace the current radiation-emitting imaging-based methods for the detection of loose pedicle screw…
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
Batiste Le Bars, Aurélien Bellet, Marc Tommasi +2
One of the key challenges in decentralized and federated learning is to design algorithms that efficiently deal with highly heterogeneous data distributions across agents. In this…
Conditional Generative Data Augmentation for Clinical Audio Datasets
Matthias Seibold, Armando Hoch, Mazda Farshad +2
In this work, we propose a novel data augmentation method for clinical audio datasets based on a conditional Wasserstein Generative Adversarial Network with Gradient Penalty (cWGAN…
Skin marker-based subject-specific spinal alignment modeling: A feasibility study
Stefan Schmid, Lukas Connolly, Greta Moschini +2
Musculoskeletal models have the potential to improve diagnosis and optimize clinical treatment by predicting accurate outcomes on an individual basis. However, the subject-specific…
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping
Yaël Balbastre, Mikael Brudfors, Michela Azzarito +3
Quantitative magnetic resonance imaging (qMRI) derives tissue-specific parameters -- such as the apparent transverse relaxation rate R2*, the longitudinal relaxation rate R1 and th…
Digitalization of the IOM: A comprehensive cadaveric study for obtaining three-dimensional models and morphological properties of the forearm's interosseous membrane
Fabio Carrillo, Simon Suter, Fabio A. Casari +4
State-of-the-art of preoperative planning for forearm orthopaedic surgeries is currently limited to simple bone procedures. The increasing interest of clinicians for more comprehen…
Automatic Modelling of Human Musculoskeletal Ligaments -- Framework Overview and Model Quality Evaluation
Noura Hamze, Lukas Nocker, Nikolaus Rauch +4
Accurate segmentation of connective soft tissues is still a challenging task, which hinders the generation of corresponding geometric models for biomechanical computations. Alterna…
Walking and running with non-specific chronic low back pain: what about the lumbar lordosis angle?
Edwige Simonet, Balz Winteler, Jana Frangi +5
Non-specific chronic low back pain (NSCLBP) is a major health problem, affecting about one fifth of the population worldwide. To avoid further pain or injury, patients with NSCLBP…
Pivot calibration concept for sensor attached mobile c-arms
Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl +2
Medical augmented reality has been actively studied for decades and many methods have been proposed torevolutionize clinical procedures. One example is the camera augmented mobile…