52 citations · 120 across the 28 of their papers we have counts for
31 papers
A Systematic Analysis of Live Intraoperative Surgical Expert Narrations
Arda Mamur, Matthias Seibold, Christoph Laux +2
Manual annotation remains the principal bottleneck in surgical video understanding. Live intraoperative narration by the operating surgeon is a scalable alternative that requires n…
ADELE - Adaptive Delaunay Grids for High-Fidelity Mesh-Native Reconstruction
Johannes Weidenfeller, Shaofei Wang, Philipp Fürnstahl +1
Meshes remain the most practical representation for geometry reasoning and integration into graphics pipelines, yet existing reconstruction methods struggle to produce high-quality…
Electromagnetic Navigation for Femoral Osteotomy Using High-Accuracy X-ray-to-CT Registration
Roman Flepp, Arend Nieuwland, Bastian Sigrist +3
Accurate execution of preoperative plans in corrective femoral osteotomies remains challenging. Current techniques are limited by variable accuracy, invasiveness, and radiation exp…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
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…
A Multi-View Pipeline and Benchmark Dataset for 3D Hand Pose Estimation in Surgery
Valery Fischer, Alan Magdaleno, Anna-Katharina Calek +8
Purpose: Accurate 3D hand pose estimation supports surgical applications such as skill assessment, robot-assisted interventions, and geometry-aware workflow analysis. However, surg…
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…
Localising under the drape: proprioception in the era of distributed surgical robotic system
Martin Huber, Nicola A. Cavalcanti, Ayoob Davoodi +15
Despite their mechanical sophistication, surgical robots remain blind to their surroundings. This lack of spatial awareness causes collisions, system recoveries, and workflow disru…
Sound Source Localization for Spatial Mapping of Surgical Actions in Dynamic Scenes
Jonas Hein, Lazaros Vlachopoulos, Maurits Geert Laurent Olthof +3
Purpose: Surgical scene understanding is key to advancing computer-aided and intelligent surgical systems. Current approaches predominantly rely on visual data or end-to-end learni…
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery
Yunke Ao, Manish Prajapat, Yarden As +6
Safety-critical control using high-dimensional sensory feedback from optical data (e.g., images, point clouds) poses significant challenges in domains like autonomous driving and r…
Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization
Roni Lekar, Tatiana Gerth, Sergey Prokudin +7
Surgical training integrates several years of didactic learning, simulation, mentorship, and hands-on experience. Challenges include stress, technical demands, and new technologies…
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…
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays
Sascha Jecklin, Aidana Massalimova, Ruyi Zha +4
Spine surgery is a high-risk intervention demanding precise execution, often supported by image-based navigation systems. Recently, supervised learning approaches have gained atten…
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network
Xintian Yuan, Yunke Ao, Boqi Chen +1
Simulating the complex interactions between soft tissues and rigid anatomy is critical for applications in surgical training, planning, and robotic-assisted interventions. Traditio…
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…
UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction
Luohong Wu, Nicola A. Cavalcanti, Matthias Seibold +8
Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. However, ultrasound images have limitations, including a low signal-to-noise ratio, a…
Virtual Reality for Immersive Education in Orthopedic Surgery Digital Twins
Jonas Hein, Jan Grunder, Lilian Calvet +4
Virtual Reality technology, when integrated with Surgical Digital Twins (SDTs), offers significant potential in medical training and surgical planning. We present SurgTwinVR, a VR…
Creating a Digital Twin of Spinal Surgery: A Proof of Concept
Jonas Hein, Frédéric Giraud, Lilian Calvet +8
Surgery digitalization is the process of creating a virtual replica of real-world surgery, also referred to as a surgical digital twin (SDT). It has significant applications in var…
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…
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…
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement
Yunke Ao, Hooman Esfandiari, Fabio Carrillo +5
Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be conducted in critical proximity to vital structures with a limited view of anat…
Next-generation Surgical Navigation: Marker-less Multi-view 6DoF Pose Estimation of Surgical Instruments
Jonas Hein, Nicola Cavalcanti, Daniel Suter +7
State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical domain. A particular focus in computer-assisted surgery is to replace marker-base…
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing
Aidana Massalimova, Maikel Timmermans, Nicola Cavalcanti +8
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical wall during pilot-hole drilling is essential to…