OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Computer Assisted Radiology and Surgery is 25. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans	113
A bilinear convolutional neural network for lung nodules classification on CT images	49
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures	46
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network	46
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs	45
SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification	41
Fast and accurate online calibration of optical see-through head-mounted display for AR-based surgical navigation using Microsoft HoloLens	40
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models	40
LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images	39
Dental disease detection on periapical radiographs based on deep convolutional neural networks	38
Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions	38
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance	37
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs	36
Ultrasound-guided needle insertion robotic system for percutaneous puncture	34
Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net	32
Liver disease classification from ultrasound using multi-scale CNN	31
Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging	29
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI	29
Toward interprofessional team training for surgeons and anesthesiologists using virtual reality	28
An image-guided hybrid robot system for dental implant surgery	28
Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net	27
Bone age assessment based on deep convolution neural network incorporated with segmentation	27
Automating Periodontal bone loss measurement via dental landmark localisation	25
Comparing the effectiveness of augmented reality-based and conventional instructions during single ECMO cannulation training	25
Ultrasound in augmented reality: a mixed-methods evaluation of head-mounted displays in image-guided interventions	25

Enhancement of needle visualization and localization in ultrasound