5 papers
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…
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…
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…
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…
Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images
Aidana Massalimova, Huseyin Atakan Varol
Alzheimer's disease (AD) is a progressive brain disorder that causes memory and functional impairments. The advances in machine learning and publicly available medical datasets ini…