| Head-mounted display augmented reality to guide pedicle screw placement utilizing computed tomography |
24 |
| Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images |
21 |
| Agile convolutional neural network for pulmonary nodule classification using CT images |
20 |
| MRI radiomics analysis of molecular alterations in low-grade gliomas |
15 |
| Pedicle screw navigation using surface digitization on the Microsoft HoloLens |
14 |
| Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models |
13 |
| A review on lung boundary detection in chest X-rays |
13 |
| Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics |
13 |
| Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery |
12 |
| Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging |
11 |
| Highly immersive virtual reality laparoscopy simulation: development and future aspects |
10 |
| Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy |
10 |
| Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching |
10 |
| Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos |
10 |
| A practical marker-less image registration method for augmented reality oral and maxillofacial surgery |
9 |
| Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN |
9 |
| Early esophageal adenocarcinoma detection using deep learning methods |
9 |
| Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach |
9 |
| From ideas to long-term studies: 3D printing clinical trials review |
9 |
| Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks |
9 |
| In vivo estimation of target registration errors during augmented reality laparoscopic surgery |
9 |
| Video-based surgical skill assessment using 3Dconvolutional neural networks |
9 |
| FCN-based approach for the automatic segmentation of bone surfaces in ultrasound images |
9 |
| A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms |
9 |
| Learning deep similarity metric for 3D MR-TRUS image registration |
9 |
| Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks |
9 |
| Improved medical image fusion based on cascaded PCA and shift invariant wavelet transforms |
8 |
| Reliability and correlation analysis of computed methods to convert conventional 2D radiological hindfoot measurements to a 3D setting using weightbearing CT |
8 |
| Deep-Onto network for surgical workflow and context recognition |
8 |
| Exploiting the potential of unlabeled endoscopic video data with self-supervised learning |
8 |
| Convolution neural networks for real-time needle detection and localization in 2D ultrasound |
8 |
| Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images |
8 |
| A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy |
7 |
| Automated surgical skill assessment in RMIS training |
7 |
| Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks |
7 |
| Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks |
7 |
| Synthesis of CT images from digital body phantoms using CycleGAN |
7 |
| Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment |
7 |
| Unsupervised pathology detection in medical images using conditional variational autoencoders |
7 |
| A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation |
7 |
| Enabling machine learning in X-ray-based procedures via realistic simulation of image formation |
7 |
| A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery |
6 |
| Breast cancer cell nuclei classification in histopathology images using deep neural networks |
6 |
| Automatic bone segmentation in whole-body CT images |
6 |
| Global rigid registration of CT to video in laparoscopic liver surgery |
6 |
| Video and accelerometer-based motion analysis for automated surgical skills assessment |
6 |
| Lung nodule classification using deep Local-Global networks |
6 |
| Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN |
6 |
| Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration |
6 |
| Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics |
6 |
