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 2020-03-01 to 2024-03-01.)

Article	Citations
DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images	128
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans	102
Two-stage ultrasound image segmentation using U-Net and test time augmentation	65
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures	45
A bilinear convolutional neural network for lung nodules classification on CT images	44
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs	43
Multimodal mixed reality visualisation for intraoperative surgical guidance	43
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images	42
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network	42
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance	36
Fast and accurate online calibration of optical see-through head-mounted display for AR-based surgical navigation using Microsoft HoloLens	35
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models	35
Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions	35
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing	33
SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification	33
Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration	29
Dental disease detection on periapical radiographs based on deep convolutional neural networks	29
Ultrasound-guided needle insertion robotic system for percutaneous puncture	29
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	29
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy	27
Liver disease classification from ultrasound using multi-scale CNN	26
Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net	26
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs	26
Toward interprofessional team training for surgeons and anesthesiologists using virtual reality	26
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks	25

Bone age assessment based on deep convolution neural network incorporated with segmentation