| Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges |
75 |
| Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network |
21 |
| Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network |
20 |
| SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research |
20 |
| Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT |
18 |
| Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models |
16 |
| Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models |
16 |
| Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports |
15 |
| The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method |
14 |
| Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs |
14 |
| Hello World Deep Learning in Medical Imaging |
13 |
| Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation |
13 |
| Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks |
13 |
| Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm |
12 |
| An Automatic and Robust Decision Support System for Accurate Acute Leukemia Diagnosis from Blood Microscopic Images |
12 |
| Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network |
11 |
| Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks |
11 |
| Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease |
11 |
| A Decision-Support Tool for Renal Mass Classification |
10 |
| A Prototype Educational Model for Hepatobiliary Interventions: Unveiling the Role of Graphic Designers in Medical 3D Printing |
10 |
| Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks |
10 |
| A Systematic Review of Three-Dimensional Printing in Liver Disease |
10 |
| Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm |
10 |
| Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study |
10 |
| A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images |
9 |
| Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD |
9 |
| A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection |
9 |
| MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling |
9 |
| Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images |
9 |
| Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset |
8 |
| Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks |
8 |
| Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography |
8 |
| Rethinking Skin Lesion Segmentation in a Convolutional Classifier |
8 |
| Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm |
8 |
| Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes |
8 |
| Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset |
8 |
| Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography |
8 |
| A New Optimized Thresholding Method Using Ant Colony Algorithm for MR Brain Image Segmentation |
7 |
| A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation |
7 |
| Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection |
7 |
| Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images |
7 |
| Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective |
7 |
| Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine |
6 |
| Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement |
6 |
| Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks |
5 |
| Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network |
5 |
| Towards Portable Large-Scale Image Processing with High-Performance Computing |
5 |
| DICOMweb (TM): Background and Application of the Web Standard for Medical Imaging |
5 |
| Reengineering Workflow for Curation of DICOM Datasets |
5 |
| 3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review |
5 |
