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DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception
Semantic segmentation plays a pivotal role in many applications related to medical image and video analysis. However, desi...
Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence
Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence
We have previously developed grading metrics to objectively measure endoscopist performance in endoscopic sleeve gastropla...
Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature
Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature
Hemodynamics play an important role in the assessment of intracranial aneurysm (IA) development and rupture risk. The purp...
Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer
Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer
While dual-energy computed tomography (DECT) images provide clinically useful information than single-energy CT (SECT), SE...
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization
Osteochondritis dissecans (OCD) of the humeral capitellum is a common cause of elbow disorders, particularly among young t...
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge
Navigation guidance is a key requirement for a multitude of lung interventions using video bronchoscopy. State-of-the-art ...
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
Edema, or swelling, is a common symptom of kidney, heart, and liver disease. Volumetric edema measurement is potentially c...
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network
Multimodal articulated image registration (MAIR) is a challenging problem because the resulting transformation needs to ma...
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images
A large number of research has been conducted on the classification of medical images using deep learning. The thyroid tis...
Algorithmically designed flaps in tongue reconstruction: a feasibility analysis
Algorithmically designed flaps in tongue reconstruction: a feasibility analysis
Despite the significance and complexity of tongue reconstruction surgery, a digital tool for flap design is currently lack...
Pose-based tremor type and level analysis for Parkinson’s disease from video
Pose-based tremor type and level analysis for Parkinson’s disease from video
Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73 and 84%, and...
Design consideration on integration of mechanical intravascular ultrasound and electromagnetic tracking sensor for intravascular reconstruction
Design consideration on integration of mechanical intravascular ultrasound and electromagnetic tracking sensor for intravascular reconstruction
Considering vessel deformation, endovascular navigation requires intraoperative geometric information. Mechanical intravas...
BDIS-SLAM: a lightweight CPU-based dense stereo SLAM for surgery
BDIS-SLAM: a lightweight CPU-based dense stereo SLAM for surgery
Common dense stereo simultaneous localization and mapping (SLAM) approaches in minimally invasive surgery (MIS) require hi...
Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging
Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging
Virtual reality (VR) allows for an immersive and interactive analysis of imaging data such as computed tomography (CT) and...
Design criteria for AI-based IT systems
Design criteria for AI-based IT systems
This editorial relates to a panel discussion during the CARS 2023 congress that addressed the question on how AI-based IT ...
CACTUSS: Common Anatomical CT-US Space for US examinations
CACTUSS: Common Anatomical CT-US Space for US examinations
The detection and treatment of abdominal aortic aneurysm (AAA), a vascular disorder with life-threatening consequences, is...
Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities
Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities
Manual annotations for training deep learning models in auto-segmentation are time-intensive. This study introduces a hybr...
Surgical phase and instrument recognition: how to identify appropriate dataset splits
Surgical phase and instrument recognition: how to identify appropriate dataset splits
Machine learning approaches can only be reliably evaluated if training, validation, and test data splits are representativ...
Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search
Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search
Stereo matching is a crucial technology in the binocular laparoscopic-based surgical navigation systems. In recent years, ...
Efficient intraoral photogrammetry using self-identifying projective invariant marker
Efficient intraoral photogrammetry using self-identifying projective invariant marker
The re-measurement of full-arch implant digital impressions is an important step in denture restoration. This paper provid...
Online advance respiration prediction model for percutaneous puncture robotics
Online advance respiration prediction model for percutaneous puncture robotics
Surgical robots have significant research value and clinical significance in the field of percutaneous punctures. There ha...
Learning-based keypoint registration for fetoscopic mosaicking
Learning-based keypoint registration for fetoscopic mosaicking
In twin-to-twin transfusion syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneve...
An ex-vivo and in-vitro dynamic simulator for surgical and transcatheter mitral valve interventions
An ex-vivo and in-vitro dynamic simulator for surgical and transcatheter mitral valve interventions
Minimally invasive mitral valve surgery (MIMVS) and transcatheter edge-to-edge repair (TEER) are complex procedures used t...
Automated computation of radiographic parameters of distal radial metaphyseal fractures in forearm X-rays
Automated computation of radiographic parameters of distal radial metaphyseal fractures in forearm X-rays
Radiographic parameters (RPs) provide objective support for effective decision making in determining clinical treatment of...
Evaluation of single-stage vision models for pose estimation of surgical instruments
Evaluation of single-stage vision models for pose estimation of surgical instruments
Multiple applications in open surgical environments may benefit from adoption of markerless computer vision depending on a...
MRI-based training model for left atrial appendage closure
MRI-based training model for left atrial appendage closure
Percutaneous closure of the left atrial appendage (LAA) reduces the risk of embolic stroke in patients with atrial fibrill...
Holistic OR domain modeling: a semantic scene graph approach
Holistic OR domain modeling: a semantic scene graph approach
Surgical procedures take place in highly complex operating rooms (OR), involving medical staff, patients, devices...
A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI
A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI
Point localisation is a critical aspect of many interventional planning procedures, specifically representing anatomical r...
Improved precise guidewire delivery of a cardiovascular interventional surgery robot based on admittance control
Improved precise guidewire delivery of a cardiovascular interventional surgery robot based on admittance control
The development of cardiovascular interventional surgery robots can realize master–slave interventional operations, ...
Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention
Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention
Fully convolutional neural networks architectures have proven to be useful for brain tumor segmentation tasks. However, th...
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