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Non-rigid scene reconstruction of deformable soft tissue with monocular endoscopy in minimally invasive surgery
Non-rigid scene reconstruction of deformable soft tissue with monocular endoscopy in minimally invasive surgery
The utilization of image-guided surgery has demonstrated its ability to improve the precision and safety of minimally inva...
Analysis of the implementation of a circuit for intra-operative superposition and comparison of the surgical outcomes using ICBCT in maxillofacial surgery
Analysis of the implementation of a circuit for intra-operative superposition and comparison of the surgical outcomes using ICBCT in maxillofacial surgery
This paper describes a novel circuit for intraoperative analysis with ICBCT in maxillofacial surgery. The aim is to establ...
Noctopus: a novel device and method for patient registration and navigation in image-guided cranial surgery
Noctopus: a novel device and method for patient registration and navigation in image-guided cranial surgery
A patient registration and real-time surgical navigation system and a novel device and method (Noctopus) is presented. Wit...
Radiation source detection for the accurate location of lymph node metastases using robotic forceps-type coincidence radiation detector
Radiation source detection for the accurate location of lymph node metastases using robotic forceps-type coincidence radiation detector
We have developed a forceps-type coincidence radiation detector for supporting lymph node dissection in esophageal cancer ...
Real-time intraoperative ultrasound registration for accurate surgical navigation in patients with pelvic malignancies
Real-time intraoperative ultrasound registration for accurate surgical navigation in patients with pelvic malignancies
Surgical navigation aids surgeons in localizing and adequately resecting pelvic malignancies. Accuracy of the navigation s...
Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis
Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis
Awake craniotomy presents a unique opportunity to map and preserve critical brain functions, particularly speech, during t...
High-fidelity surgical simulator for the performance of craniofacial osteotomies
High-fidelity surgical simulator for the performance of craniofacial osteotomies
The oral and maxillofacial (OMF) surgical community is making an active effort to develop new approaches for surgical trai...
Fronto-orbital advancement with patient-specific 3D-printed implants and robot-guided laser osteotomy: an in vitro accuracy assessment
Fronto-orbital advancement with patient-specific 3D-printed implants and robot-guided laser osteotomy: an in vitro accuracy assessment
The use of computer-assisted virtual surgical planning (VSP) for craniosynostosis surgery is gaining increasing i...
FEM simulation of breast deformation with semi-fluid representation
FEM simulation of breast deformation with semi-fluid representation
In image-guided surgery for breast cancer, the representation of the breast deformation between planning and surgery plays...
A virtual patient authoring tool for transcatheter aortic valve replacement
A virtual patient authoring tool for transcatheter aortic valve replacement
Computer-based medical training scenarios, derived from patient’s records, often lack variability, modifiability, an...
A novel 3D image registration technique for augmented reality vision in minimally invasive thoracoscopic pulmonary segmentectomy
A novel 3D image registration technique for augmented reality vision in minimally invasive thoracoscopic pulmonary segmentectomy
In this feasibility study, we aimed to create a dedicated pulmonary augmented reality (AR) workflow to enable a semi-autom...
Virtual reality in surgery: minimizing stress and pain in patients undergoing minor-surgical procedures under local anesthesia—results of a feasibility study
Virtual reality in surgery: minimizing stress and pain in patients undergoing minor-surgical procedures under local anesthesia—results of a feasibility study
Virtual reality (VR) technology has gained significant importance in medical practice, particularly as an innovative appro...
Central command suite: futureproofing next-generation surgical environments to embrace the digital operating room
Central command suite: futureproofing next-generation surgical environments to embrace the digital operating room
General requirementsThe key functions required in the CCS include: 1. ...
CARS 2025 Computer Assisted Radiology and Surgery - 40th Anniversary and reflections on the role of modelling and AI
CARS 2025 Computer Assisted Radiology and Surgery - 40th Anniversary and reflections on the role of modelling and AI
Based on CARS Congress events selected from its 40 year history, this editorial summarises the main challenges an...
Superimposed Wavefront Imaging of Diffraction-enhanced X-rays: sparsity-aware CT reconstruction from limited-view projections
Superimposed Wavefront Imaging of Diffraction-enhanced X-rays: sparsity-aware CT reconstruction from limited-view projections
In this paper, we describe an algebraic reconstruction algorithm with a total variation regularization (ART + ...
Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method
Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method
We are developing a three-dimensional X-ray fluorescence computed tomography (3D XFCT) system using non-radioactive-labele...
Leveraging domain knowledge for synthetic ultrasound image generation: a novel approach to rare disease AI detection
Leveraging domain knowledge for synthetic ultrasound image generation: a novel approach to rare disease AI detection
This study explores the use of deep generative models to create synthetic ultrasound images for the detection of hemarthro...
Domain adaptation using AdaBN and AdaIN for high-resolution IVD mesh reconstruction from clinical MRI
Domain adaptation using AdaBN and AdaIN for high-resolution IVD mesh reconstruction from clinical MRI
Deep learning has firmly established its dominance in medical imaging applications. However, careful consideration must be...
Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations
Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations
Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) ...
Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames
Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames
Cardiac perfusion MRI is vital for disease diagnosis, treatment planning, and risk stratification, with anomalies serving ...
Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery
Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery
This study aims predicting the stress level based on the ergonomic (kinematic) and physiological (electrodermal activity&#...
Modality redundancy for MRI-based glioblastoma segmentation
Modality redundancy for MRI-based glioblastoma segmentation
Automated glioblastoma segmentation from magnetic resonance imaging is generally performed on a four-modality input, inclu...
A microdiscectomy surgical video annotation framework for supervised machine learning applications
A microdiscectomy surgical video annotation framework for supervised machine learning applications
Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like o...
Transformers for colorectal cancer segmentation in CT imaging
Transformers for colorectal cancer segmentation in CT imaging
Most recently transformer models became the state of the art in various medical image segmentation tasks and challenges, o...
A bronchoscopic navigation method based on neural radiation fields
A bronchoscopic navigation method based on neural radiation fields
We introduce a novel approach for bronchoscopic navigation that leverages neural radiance fields (NeRF) to passively locat...
Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets
Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets
Many large radiographic datasets of lung nodules are available, but the small and hard-to-detect nodules are rarely valida...
Improving lung nodule segmentation in thoracic CT scans through the ensemble of 3D U-Net models
Improving lung nodule segmentation in thoracic CT scans through the ensemble of 3D U-Net models
The current study explores the application of 3D U-Net architectures combined with Inception and ResNet modules for precis...
Needle tracking in low-resolution ultrasound volumes using deep learning
Needle tracking in low-resolution ultrasound volumes using deep learning
Clinical needle insertion into tissue, commonly assisted by 2D ultrasound imaging for real-time navigation, faces the chal...
Extra-abdominal trocar and instrument detection for enhanced surgical workflow understanding
Extra-abdominal trocar and instrument detection for enhanced surgical workflow understanding
Video-based intra-abdominal instrument tracking for laparoscopic surgeries is a common research area. However, the trackin...
Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion
Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion
As an increasing number of cochlear implant candidates exhibit residual inner ear function, hearing preservation strategie...
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