| An application of cascaded 3D fully convolutional networks for medical image segmentation |
41 |
| Retinal blood vessel segmentation using fully convolutional network with transfer learning |
22 |
| Image super-resolution using progressive generative adversarial networks for medical image analysis |
21 |
| Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging |
21 |
| Efficient deep learning model for mitosis detection using breast histopathology images |
20 |
| Brain tumor classification for MR images using transfer learning and fine-tuning |
19 |
| Fusion of fMRI and non-imaging data for ADHD classification |
18 |
| SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis |
18 |
| Convolutional neural networks for multi-class brain disease detection using MRI images |
15 |
| Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks |
15 |
| Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology |
15 |
| Patch-based system for Classification of Breast Histology images using deep learning |
15 |
| Robust optic disc and cup segmentation with deep learning for glaucoma detection |
14 |
| Fusing fine-tuned deep features for skin lesion classification |
13 |
| Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks |
13 |
| Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis |
12 |
| Multiscale brain MRI super-resolution using deep 3D convolutional networks |
11 |
| Automated analysis and classification of melanocytic tumor on skin whole slide images |
10 |
| A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative |
10 |
| RNN-based longitudinal analysis for diagnosis of Alzheimer's disease |
10 |
| Deep learning for cell image segmentation and ranking |
10 |
| A level-set approach to joint image segmentation and registration with application to CT lung imaging |
10 |
| Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis |
8 |
| 3D convolutional neural networks for tumor segmentation using long-range 2D context |
8 |
| Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images |
8 |
| Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma |
8 |
| Application of eye tracking in medicine: A survey, research issues and challenges |
8 |
| Automatic histologically-closer classification of skin lesions |
8 |
| Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition |
7 |
| An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets |
7 |
| Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder |
7 |
| Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology |
6 |
| Adaptive fusion of texture-based grading for Alzheimer's disease classification |
6 |
| SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images |
6 |
| Dense pooling layers in fully convolutional network for skin lesion segmentation |
5 |
| Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning |
5 |
| CNN cascades for segmenting sparse objects in gigapixel whole slide images |
5 |
| Semi-automatic lymphoma detection and segmentation using fully conditional random fields |
5 |
| Combo loss: Handling input and output imbalance in multi-organ segmentation |
5 |
| 3D imaging system for respiratory monitoring in pediatric intensive care environment |
5 |
| Multimodal brain tumor image segmentation using WRN-PPNet |
5 |
| Deep learning nuclei detection: A simple approach can deliver state-of-the-art results |
5 |
| Automatic localization of normal active organs in 3D PET scans |
5 |
| Denoising and spatial resolution enhancement of 4D flow MRI using proper orthogonal decomposition and lasso regularization |
5 |
| Psoriasis image representation using patch-based dictionary learning for erythema severity scoring |
5 |
| Deformable respiratory motion correction for hepatic rotational angiography |
5 |
| 3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning |
5 |
| MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting |
5 |
| Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis |
5 |
| Multiple supervised residual network for osteosarcoma segmentation in CT images |
4 |
