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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...
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 ...
Towards multimodal graph neural networks for surgical instrument anticipation
Towards multimodal graph neural networks for surgical instrument anticipation
Decision support systems and context-aware assistance in the operating room have emerged as the key clinical applications ...
Neural patient-specific 3D–2D registration in laparoscopic liver resection
Neural patient-specific 3D–2D registration in laparoscopic liver resection
Augmented reality guidance in laparoscopic liver resection requires the registration of a preoperative 3D model to the int...
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...
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&#...
A novel contact optimization algorithm for endomicroscopic surface scanning
A novel contact optimization algorithm for endomicroscopic surface scanning
Probe-based confocal laser endomicroscopy (pCLE) offers real-time, cell-level imaging and holds promise for early cancer d...
An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging
An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging
Accurate IVD segmentation is crucial for diagnosing and treating spinal conditions. Traditional deep learning methods depe...
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...
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...
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...
3D mobile regression vision transformer for collateral imaging in acute ischemic stroke
3D mobile regression vision transformer for collateral imaging in acute ischemic stroke
The accurate and timely assessment of the collateral perfusion status is crucial in the diagnosis and treatment of patient...
A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images
A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images
Differentiating pulmonary lymphoma from lung infections using CT images is challenging. Existing deep neural network-based...
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...
Automated thermographic detection of blood vessels for DIEP flap reconstructive surgery
Automated thermographic detection of blood vessels for DIEP flap reconstructive surgery
Inadequate perfusion is the most common cause of partial flap loss in tissue transfer for post-mastectomy breast reconstru...
A usability analysis of augmented reality and haptics for surgical planning
A usability analysis of augmented reality and haptics for surgical planning
Proper visualization and interaction with complex anatomical data can improve understanding, allowing for more intuitive s...
Background removal for debiasing computer-aided cytological diagnosis
Background removal for debiasing computer-aided cytological diagnosis
To address the background-bias problem in computer-aided cytology caused by microscopic slide deterioration, this article ...
Preliminary study of substantia nigra analysis by tensorial feature extraction
Preliminary study of substantia nigra analysis by tensorial feature extraction
Parkinson disease (PD) is a common progressive neurodegenerative disorder in our ageing society. Early-stage PD biomarkers...
Hierarchical segmentation of surgical scenes in laparoscopy
Hierarchical segmentation of surgical scenes in laparoscopy
Segmentation of surgical scenes may provide valuable information for real-time guidance and post-operative analysis. Howev...
Model-based individual life-spanning documentation in visceral surgery: a proof of concept
Model-based individual life-spanning documentation in visceral surgery: a proof of concept
Surgical documentation has many implications. However, its primary function is to transfer information about surgical proc...
Periacetabular osteotomy using computed tomography-based navigation: preoperative planning and accuracy evaluation
Periacetabular osteotomy using computed tomography-based navigation: preoperative planning and accuracy evaluation
Since 2011, we have used computed tomography (CT)-based navigation to perform safe and accurate rotational acetabular oste...
Head motion-corrected eye gaze tracking with the da Vinci surgical system
Head motion-corrected eye gaze tracking with the da Vinci surgical system
To facilitate the integration of point of gaze (POG) as an input modality for robot-assisted surgery, we introduce a robus...
Characterizing the accuracy of robotic bronchoscopy in localization & targeting of small pulmonary lesions
Characterizing the accuracy of robotic bronchoscopy in localization & targeting of small pulmonary lesions
Considering the recent implementation of lung cancer screening guidelines, it is crucial that small pulmonary nodules are ...
IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment
IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment
Accurate needle placement is crucial for successful tumor treatment using the irreversible electroporation (IRE) method. M...
Virtual reconstruction of orbital defects using Gaussian process morphable models
Virtual reconstruction of orbital defects using Gaussian process morphable models
The conventional method to reconstruct the bone level for orbital defects, which is based on mirroring and manual adaptati...
Using diffusion models to generate synthetic labeled data for medical image segmentation
Using diffusion models to generate synthetic labeled data for medical image segmentation
Medical image analysis has become a prominent area where machine learning has been applied. However, high-quality, publicl...
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
MRI-derived brain volume loss (BVL) is widely used as neurodegeneration marker. SIENA is state-of-the-art for BVL measurem...
VESCL: an open source 2D vessel contouring library
VESCL: an open source 2D vessel contouring library
VESCL (pronounced ‘vessel’) is a novel vessel contouring library for computer-assisted 2D vessel contouring an...
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
Autonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure...
Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery
Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery
Frontotemporal lobe dementia (FTD) results from the degeneration of the frontal and temporal lobes. It can manifest in sev...
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