29 citations · 47 across the 13 of their papers we have counts for
14 papers
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…
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
Yunke Ao, Masoud Moghani, Mayank Mittal +6
Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-invasive nature, and cost-effectiveness. Robotic ultrasound can further enhance its…
A Modular Edge Device Network for Surgery Digitalization
Vincent Schorp, Frédéric Giraud, Gianluca Pargätzi +10
Future surgical care demands real-time, integrated data to drive informed decision-making and improve patient outcomes. The pressing need for seamless and efficient data capture in…
Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery
Emma Most, Jonas Hein, Frédéric Giraud +7
Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgical navigation and digitization o…
SurgPointTransformer: Vertebrae Shape Completion with RGB-D Data
Aidana Massalimova, Florentin Liebmann, Sascha Jecklin +3
State-of-the-art computer- and robot-assisted surgery systems heavily depend on intraoperative imaging technologies such as CT and fluoroscopy to generate detailed 3D visualization…
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…
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…
Three-Dimensional Automated Assessment of the Distal Radioulnar Joint Morphology according to Sigmoid Notch Surface Orientation
Simon Roner, Philipp Fürnstahl, Anne-Gita Scheibler +2
The aim of this study was to develop a new method for generating reproducible 3D measurements for the quantification of the distal radioulnar joint morphology. We hypothesized that…
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…
An Automatic Genetic Algorithm Framework for the Optimization of Three-dimensional Surgical Plans of Forearm Corrective Osteotomies
Fabio Carrillo, Simon Roner, Marco von Atzigen +5
3D computer-assisted corrective osteotomy has become the state-of-the-art for surgical treatment of complex bone deformities. Despite available technologies, the automatic generati…