Search
Search Results
-
Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames
PurposeCardiac perfusion MRI is vital for disease diagnosis, treatment planning, and risk stratification, with anomalies serving as markers of...
-
Transformers for colorectal cancer segmentation in CT imaging
PurposeMost recently transformer models became the state of the art in various medical image segmentation tasks and challenges, outperforming most of...
-
Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery
PurposeThis study aims predicting the stress level based on the ergonomic (kinematic) and physiological (electrodermal activity—EDA, blood pressure...
-
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to...
-
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial intelligence...
-
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings
PurposeMicro-electrode recordings (MERs) are a key intra-operative modality used during deep brain stimulation (DBS) electrode implantation, which...
-
Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
Label-free autofluorescence lifetime is a unique feature of the inherent fluorescence signals emitted by natural fluorophores in biological samples....
-
A usability analysis of augmented reality and haptics for surgical planning
PurposeProper visualization and interaction with complex anatomical data can improve understanding, allowing for more intuitive surgical planning....
-
In vivo organoid growth monitoring by stimulated Raman histology
Patient-derived tumor organoids have emerged as a crucial tool for assessing the efficacy of chemotherapy and conducting preclinical drug screenings....
-
Preliminary study of substantia nigra analysis by tensorial feature extraction
PurposeParkinson disease (PD) is a common progressive neurodegenerative disorder in our ageing society. Early-stage PD biomarkers are desired for...
-
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 proposes a deep learning...
-
Hierarchical segmentation of surgical scenes in laparoscopy
Purpose:Segmentation of surgical scenes may provide valuable information for real-time guidance and post-operative analysis. However, in some...
-
Using diffusion models to generate synthetic labeled data for medical image segmentation
PurposeMedical image analysis has become a prominent area where machine learning has been applied. However, high-quality, publicly available data are...
-
Increased [18F]FDG uptake of radiation-induced giant cells: a single-cell study in lung cancer models
Positron emission tomography (PET), a cornerstone in cancer diagnosis and treatment monitoring, relies on the enhanced uptake of fluorodeoxyglucose ([
-
Virtual reconstruction of orbital defects using Gaussian process morphable models
PurposeThe conventional method to reconstruct the bone level for orbital defects, which is based on mirroring and manual adaptation, is...
-
IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment
PurposeAccurate needle placement is crucial for successful tumor treatment using the irreversible electroporation (IRE) method. Multiple needles are...
-
Head motion-corrected eye gaze tracking with the da Vinci surgical system
PurposeTo facilitate the integration of point of gaze (POG) as an input modality for robot-assisted surgery, we introduce a robust head movement...
-
Periacetabular osteotomy using computed tomography-based navigation: preoperative planning and accuracy evaluation
PurposeSince 2011, we have used computed tomography (CT)-based navigation to perform safe and accurate rotational acetabular osteotomy (RAO) for...
-
Characterizing the accuracy of robotic bronchoscopy in localization & targeting of small pulmonary lesions
PurposeConsidering the recent implementation of lung cancer screening guidelines, it is crucial that small pulmonary nodules are accurately...
-
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
PurposeAutonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure times and operator...
