| A deep learning model integrating FCNNs and CRFs for brain tumor segmentation |
88 |
| Generative adversarial network in medical imaging: A review |
84 |
| Attention gated networks: Learning to leverage salient regions in medical images |
56 |
| A deep learning framework for unsupervised affine and deformable image registration |
51 |
| Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis |
44 |
| Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation |
42 |
| Landmark-based deep multi-instance learning for brain disease diagnosis |
37 |
| Learning normalized inputs for iterative estimation in medical image segmentation |
37 |
| Weakly-supervised convolutional neural networks for multimodal image registration |
34 |
| Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers |
34 |
| f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks |
33 |
| Deep learning in mammography and breast histology, an overview and future trends |
33 |
| Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative |
31 |
| Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease |
30 |
| Automated diagnosis of breast ultrasonography images using deep neural networks |
28 |
| Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture |
26 |
| BIRNet: Brain image registration using dual-supervised fully convolutional networks |
26 |
| BACH: Grand challenge on breast cancer histology images |
25 |
| DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem |
25 |
| Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts |
24 |
| Medical image classification using synergic deep learning |
24 |
| Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images |
23 |
| Synthesizing retinal and neuronal images with generative adversarial nets |
22 |
| A Survey of Methods for 3D Histology Reconstruction |
21 |
| MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images |
20 |
| Full left ventricle quantification via deep multitask relationships learning |
20 |
| Abdominal multi-organ segmentation with organ-attention networks and statistical fusion |
20 |
| Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease |
20 |
| Omega-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks |
19 |
| The first MICCAI challenge on PET tumor segmentation |
19 |
| Learning the implicit strain reconstruction in ultrasound elastography using privileged information |
19 |
| Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease |
18 |
| Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge |
18 |
| Constrained-CNN losses for weakly supervised segmentation |
18 |
| Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge |
17 |
| CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation |
17 |
| Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT |
17 |
| DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks |
17 |
| Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis |
17 |
| 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images |
16 |
| Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network |
16 |
| Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image |
15 |
| Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces |
15 |
| Large-scale retrieval for medical image analytics: A comprehensive review |
15 |
| Spine-GAN: Semantic segmentation of multiple spinal structures |
15 |
| Weakly supervised mitosis detection in breast histopathology images using concentric loss |
14 |
| Complex networks reveal early MRI markers of Parkinson's disease |
14 |
| Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks |
14 |
| Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images |
13 |
| Micro-Net: A unified model for segmentation of various objects in microscopy images |
13 |
