International Journal of Computer Assisted Radiology and Surgery

Papers
(The H4-Index of International Journal of Computer Assisted Radiology and Surgery is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans119
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures51
A bilinear convolutional neural network for lung nodules classification on CT images50
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models48
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network48
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs47
SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification46
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance43
LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images42
Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions42
Dental disease detection on periapical radiographs based on deep convolutional neural networks41
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs39
Ultrasound-guided needle insertion robotic system for percutaneous puncture36
An image-guided hybrid robot system for dental implant surgery33
Liver disease classification from ultrasound using multi-scale CNN31
Comparing the effectiveness of augmented reality-based and conventional instructions during single ECMO cannulation training28
HoloUS: Augmented reality visualization of live ultrasound images using HoloLens for ultrasound-guided procedures28
Automating Periodontal bone loss measurement via dental landmark localisation27
Speed-of-sound imaging using diverging waves27
Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net27
Mixed reality as a novel tool for diagnostic and surgical navigation in orthopaedics25
Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification25
Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models25
Association of AI quantified COVID-19 chest CT and patient outcome24
0.029674053192139