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Shape-matching-based fracture reduction aid concept exemplified on the proximal humerus—a pilot study
Shape-matching-based fracture reduction aid concept exemplified on the proximal humerus—a pilot study
Optimizing fracture reduction quality is key to achieve successful osteosynthesis, especially for epimetaphyseal regions s...
Attention-guided erasing for enhanced transfer learning in breast abnormality classification
Attention-guided erasing for enhanced transfer learning in breast abnormality classification
Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. T...
A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery
A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery
This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasi...
Diagnosing Helicobacter pylori using autoencoders and limited annotations through anomalous staining patterns in IHC whole slide images
Diagnosing Helicobacter pylori using autoencoders and limited annotations through anomalous staining patterns in IHC whole slide images
This work addresses the detection of Helicobacter pylori (H. pylori) in histological images with immunohistochemical stain...
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation
This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even wi...
Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers
Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers
Systems equipped with natural language (NLP) processing can reduce missed radiological findings by physicians, but the ann...
Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images
Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images
Lung fissure segmentation on CT images often relies on 3D convolutional neural networks (CNNs). However, 3D-CNNs are ineff...
3d freehand ultrasound reconstruction by reference-based point cloud registration
3d freehand ultrasound reconstruction by reference-based point cloud registration
This study aims to address the challenging estimation of trajectories from freehand ultrasound examinations by means of re...
Toward structured abdominal examination training using augmented reality
Toward structured abdominal examination training using augmented reality
Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend o...
3D CT to 2D X-ray image registration for improved visualization of tibial vessels in endovascular procedures
3D CT to 2D X-ray image registration for improved visualization of tibial vessels in endovascular procedures
During endovascular revascularization interventions for peripheral arterial disease, the standard modality of X-ray fluoro...
Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound
Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound
Thyroid nodules are common, and ultrasound-based risk stratification using ACR’s TIRADS classification is a key step...
Preoperative and intraoperative laparoscopic liver surface registration using deep graph matching of representative overlapping points
Preoperative and intraoperative laparoscopic liver surface registration using deep graph matching of representative overlapping points
In laparoscopic liver surgery, registering preoperative CT-extracted 3D models with intraoperative laparoscopic video reco...
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...
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 + ...
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...
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. ...
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...
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...
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...
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...
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...
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...
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 ...
Virtual airways heatmaps to optimize point of entry location in lung biopsy planning systems
Virtual airways heatmaps to optimize point of entry location in lung biopsy planning systems
We present a virtual model to optimize point of entry (POE) in lung biopsy planning systems. Our model allows to compute t...
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings
Micro-electrode recordings (MERs) are a key intra-operative modality used during deep brain stimulation (DBS) electrode im...
Correction to: Stereo reconstruction from microscopic images for computer-assisted ophthalmic surgery
Correction to: Stereo reconstruction from microscopic images for computer-assisted ophthalmic surgery
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which...
Transferable situation recognition system for scenario-independent context-aware surgical assistance systems: a proof of concept
Transferable situation recognition system for scenario-independent context-aware surgical assistance systems: a proof of concept
Surgical interventions and the intraoperative environment can vary greatly. A system that reliably recognizes the situatio...
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