International Journal of Computer Assisted Radiology and Surgery

Papers
(The H4-Index of International Journal of Computer Assisted Radiology and Surgery is 26. 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 2020-06-01 to 2024-06-01.)
ArticleCitations
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans109
A bilinear convolutional neural network for lung nodules classification on CT images48
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures46
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs45
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images44
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network43
SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification40
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models39
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing39
Fast and accurate online calibration of optical see-through head-mounted display for AR-based surgical navigation using Microsoft HoloLens39
Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions38
Dental disease detection on periapical radiographs based on deep convolutional neural networks37
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance36
LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images35
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs33
Ultrasound-guided needle insertion robotic system for percutaneous puncture32
Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net32
Liver disease classification from ultrasound using multi-scale CNN30
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI29
Toward automatic C-arm positioning for standard projections in orthopedic surgery28
Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging28
An image-guided hybrid robot system for dental implant surgery27
Toward interprofessional team training for surgeons and anesthesiologists using virtual reality27
Bone age assessment based on deep convolution neural network incorporated with segmentation27
Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net26
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks26
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