| 1 | Segmenting the Inferior Alveolar Canal in CBCT Volumes: The ToothFairy Challenge | 7.6 | 8 | Citations (PDF) |
| 2 | Artificial intelligence for the analysis of intracoronary optical coherence tomography images: a systematic review | 2.2 | 5 | Citations (PDF) |
| 3 | Mechanically Affected Lung and Progression of Emphysema | 8.9 | 6 | Citations (PDF) |
| 4 | Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning | 2.2 | 5 | Citations (PDF) |
| 5 | ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries | 10.5 | 3 | Citations (PDF) |
| 6 | AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge | 7.6 | 51 | Citations (PDF) |
| 7 | Blood-based Transcriptomic and Proteomic Biomarkers of Emphysema | 8.9 | 13 | Citations (PDF) |
| 8 | Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithms | 2.5 | 9 | Citations (PDF) |
| 9 | Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction | 8.7 | 29 | Citations (PDF) |
| 10 | Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge | 7.6 | 19 | Citations (PDF) |
| 11 | Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload | 3.6 | 10 | Citations (PDF) |
| 12 | The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data | 10.5 | 4 | Citations (PDF) |
| 13 | Chronic Obstructive Pulmonary Disease Exacerbations Increase the Risk of Subsequent Cardiovascular Events: A Longitudinal Analysis of the COPDGene Study | 4.0 | 17 | Citations (PDF) |
| 14 | Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography | 10.5 | 4 | Citations (PDF) |
| 15 | Structure and position-aware graph neural network for airway labeling | 10.5 | 2 | Citations (PDF) |
| 16 | FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network | 7.6 | 18 | Citations (PDF) |
| 17 | Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning | 7.6 | 181 | Citations (PDF) |
| 18 | The Liver Tumor Segmentation Benchmark (LiTS) | 10.5 | 777 | Citations (PDF) |
| 19 | Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients | 10.5 | 13 | Citations (PDF) |
| 20 | Continual learning strategies for cancer-independent detection of lymph node metastases | 10.5 | 27 | Citations (PDF) |
| 21 | Causes of and Clinical Features Associated with Death in Tobacco Cigarette Users by Lung Function Impairment | 8.9 | 34 | Citations (PDF) |
| 22 | Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children | 2.1 | 31 | Citations (PDF) |
| 23 | Emphysema subtyping on thoracic computed tomography scans using deep neural networks | 3.4 | 4 | Citations (PDF) |
| 24 | Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules | 8.7 | 20 | Citations (PDF) |
| 25 | AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation | 3.3 | 5 | Citations (PDF) |
| 26 | Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho | 2.1 | 8 | Citations (PDF) |
| 27 | Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans | 4.5 | 56 | Citations (PDF) |
| 28 | COVID-19 screening in low resource settings using artificial intelligence for chest radiographs and point-of-care blood tests | 3.4 | 1 | Citations (PDF) |
| 29 | Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images | 11.2 | 61 | Citations (PDF) |
| 30 | Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison | 4.7 | 15 | Citations (PDF) |
| 31 | Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility | 8.7 | 10 | Citations (PDF) |
| 32 | Image‐based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks | 2.2 | 54 | Citations (PDF) |
| 33 | Development of a Blood-based Transcriptional Risk Score for Chronic Obstructive Pulmonary Disease | 8.9 | 25 | Citations (PDF) |
| 34 | Longitudinal Association Between Muscle Loss and Mortality in Ever SmokersChest, 2022, 161, 960-970 | 1.0 | 38 | Citations (PDF) |
| 35 | Diffuse idiopathic skeletal hyperostosis is associated with incident stroke in patients with increased cardiovascular risk | 1.9 | 16 | Citations (PDF) |
| 36 | Alpha-1 Antitrypsin MZ Heterozygosity Is an Endotype of Chronic Obstructive Pulmonary Disease | 8.9 | 39 | Citations (PDF) |
| 37 | Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow | 3.0 | 12 | Citations (PDF) |
| 38 | Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning | 2.0 | 19 | Citations (PDF) |
| 39 | Automated estimation of total lung volume using chest radiographs and deep learning | 3.1 | 12 | Citations (PDF) |
| 40 | Lung tissue shows divergent gene expression between chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis | 4.2 | 27 | Citations (PDF) |
| 41 | Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation | 1.2 | 28 | Citations (PDF) |
| 42 | Predicting biochemical recurrence of prostate cancer with artificial intelligence | 4.5 | 29 | Citations (PDF) |
| 43 | The Medical Segmentation Decathlon | 13.7 | 924 | Citations (PDF) |
| 44 | Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection | 6.3 | 64 | Citations (PDF) |
| 45 | Explainable emphysema detection on chest radiographs with deep learning | 2.3 | 7 | Citations (PDF) |
| 46 | Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications | 0.7 | 10 | Citations (PDF) |
| 47 | Dataset of prostate MRI annotated for anatomical zones and cancer | 1.2 | 7 | Citations (PDF) |
| 48 | Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence | 8.7 | 134 | Citations (PDF) |
| 49 | Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI | 4.6 | 53 | Citations (PDF) |
| 50 | Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening | 8.7 | 16 | Citations (PDF) |
| 51 | Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features | 1.2 | 10 | Citations (PDF) |
| 52 | Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs | 8.0 | 42 | Citations (PDF) |
| 53 | Artificial intelligence in radiology: 100 commercially available products and their scientific evidence | 3.6 | 370 | Citations (PDF) |
| 54 | Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice? | 2.0 | 67 | Citations (PDF) |
| 55 | A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises | 9.5 | 883 | Citations (PDF) |
| 56 | How does artificial intelligence in radiology improve efficiency and health outcomes? | 1.8 | 180 | Citations (PDF) |
| 57 | Visceral Adipose Tissue and Different Measures of Adiposity in Different Severities of Diffuse Idiopathic Skeletal Hyperostosis | 2.4 | 21 | Citations (PDF) |
| 58 | Deep learning with robustness to missing data: A novel approach to the detection of COVID-19 | 2.3 | 5 | Citations (PDF) |
| 59 | Deep learning for chest X-ray analysis: A survey | 10.5 | 388 | Citations (PDF) |
| 60 | Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT | 8.7 | 137 | Citations (PDF) |
| 61 | CNN-based lung CT registration with multiple anatomical constraints | 10.5 | 76 | Citations (PDF) |
| 62 | Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment | 3.7 | 56 | Citations (PDF) |
| 63 | The Association Between Lung Hyperinflation and Coronary Artery Disease in SmokersChest, 2021, 160, 858-871 | 1.0 | 19 | Citations (PDF) |
| 64 | Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement | 3.5 | 23 | Citations (PDF) |
| 65 | Adversarial attack vulnerability of medical image analysis systems: Unexplored factors | 10.5 | 92 | Citations (PDF) |
| 66 | Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists | 8.0 | 43 | Citations (PDF) |
| 67 | Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT | 7.6 | 22 | Citations (PDF) |
| 68 | Disease Progression Modeling in Chronic Obstructive Pulmonary Disease | 8.9 | 90 | Citations (PDF) |
| 69 | Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study | 27.4 | 600 | Citations (PDF) |
| 70 | Machine Learning Characterization of COPD SubtypesChest, 2020, 157, 1147-1157 | 1.0 | 66 | Citations (PDF) |
| 71 | Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration | 1.0 | 98 | Citations (PDF) |
| 72 | Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning | 10.5 | 24 | Citations (PDF) |
| 73 | BIAS: Transparent reporting of biomedical image analysis challenges | 10.5 | 103 | Citations (PDF) |
| 74 | GANs for medical image analysis | 5.7 | 398 | Citations (PDF) |
| 75 | Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning | 8.0 | 33 | Citations (PDF) |
| 76 | Typical CT Features of Intrapulmonary Lymph Nodes: A Review | 3.0 | 32 | Citations (PDF) |
| 77 | COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System | 8.7 | 190 | Citations (PDF) |
| 78 | Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images | 7.6 | 33 | Citations (PDF) |
| 79 | ESR/ERS statement paper on lung cancer screening | 8.7 | 79 | Citations (PDF) |
| 80 | Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans | 7.6 | 104 | Citations (PDF) |
| 81 | A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History | 7.8 | 60 | Citations (PDF) |
| 82 | Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification | 3.0 | 49 | Citations (PDF) |
| 83 | Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children | 1.8 | 69 | Citations (PDF) |
| 84 | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system | 3.4 | 128 | Citations (PDF) |
| 85 | CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluation | 8.7 | 782 | Citations (PDF) |
| 86 | Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval | 3.6 | 34 | Citations (PDF) |
| 87 | Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi Pakistan | 3.4 | 23 | Citations (PDF) |
| 88 | iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network | 3.4 | 75 | Citations (PDF) |
| 89 | Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT | 3.0 | 57 | Citations (PDF) |
| 90 | Automated chest X-ray reading for tuberculosis in the Philippines to improve case detection: a cohort study | 1.2 | 13 | Citations (PDF) |
| 91 | Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard | 3.4 | 135 | Citations (PDF) |
| 92 | Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers | 6.2 | 38 | Citations (PDF) |
| 93 | Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections | 2.3 | 50 | Citations (PDF) |
| 94 | The St. George’s Respiratory Questionnaire Definition of Chronic Bronchitis May Be a Better Predictor of COPD Exacerbations Compared With the Classic DefinitionChest, 2019, 156, 685-695 | 1.0 | 50 | Citations (PDF) |
| 95 | Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks | 3.0 | 19 | Citations (PDF) |
| 96 | Combined Forced Expiratory Volume in 1 Second and Forced Vital Capacity Bronchodilator Response, Exacerbations, and Mortality in Chronic Obstructive Pulmonary Disease | 3.4 | 51 | Citations (PDF) |
| 97 | Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances | 2.3 | 4 | Citations (PDF) |
| 98 | Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations | 25.2 | 348 | Citations (PDF) |
| 99 | Iterative fully convolutional neural networks for automatic vertebra segmentation and identification | 10.5 | 241 | Citations (PDF) |
| 100 | Intracerebral Haemorrhage Segmentation in Non-Contrast CT | 3.4 | 49 | Citations (PDF) |
| 101 | From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge | 7.6 | 442 | Citations (PDF) |
| 102 | Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries | 2.0 | 81 | Citations (PDF) |
| 103 | Predicting Malignancy Risk of Screen-Detected Lung Nodules–Mean Diameter or Volume | 2.1 | 46 | Citations (PDF) |
| 104 | Airway wall thickening on CT: Relation to smoking status and severity of COPD | 2.6 | 74 | Citations (PDF) |
| 105 | Integrative Genomics Analysis Identifies <i>ACVR1B</i> as a Candidate Causal Gene of Emphysema Distribution | 3.8 | 18 | Citations (PDF) |
| 106 | In vivo growth of 60 non-screening detected lung cancers: a computed tomography study | 8.7 | 16 | Citations (PDF) |
| 107 | Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions | 7.6 | 227 | Citations (PDF) |
| 108 | Asthma Is a Risk Factor for Respiratory Exacerbations Without Increased Rate of Lung Function DeclineChest, 2018, 153, 368-377 | 1.0 | 16 | Citations (PDF) |
| 109 | Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules | 3.4 | 15 | Citations (PDF) |
| 110 | Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease | 6.1 | 205 | Citations (PDF) |
| 111 | Lung cancer risk to personalise annual and biennial follow-up computed tomography screening | 5.6 | 39 | Citations (PDF) |
| 112 | Detection of Subsolid Nodules in Lung Cancer Screening | 6.8 | 41 | Citations (PDF) |
| 113 | Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans | 3.1 | 39 | Citations (PDF) |
| 114 | Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression | 1.0 | 45 | Citations (PDF) |
| 115 | ES01.03 Deep Machine Learning for Screening LDCT | 2.1 | 0 | Citations (PDF) |
| 116 | Why rankings of biomedical image analysis competitions should be interpreted with care | 13.7 | 292 | Citations (PDF) |
| 117 | Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing | 3.4 | 213 | Citations (PDF) |
| 118 | Long-Term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment | 2.1 | 76 | Citations (PDF) |
| 119 | Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population | 5.6 | 46 | Citations (PDF) |
| 120 | Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability | 8.7 | 45 | Citations (PDF) |
| 121 | Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening | 1.2 | 29 | Citations (PDF) |
| 122 | Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography | 2.8 | 140 | Citations (PDF) |
| 123 | Comparison Study of Low-Cost Ultrasound Devices for Estimation of Gestational Age in Resource-Limited Countries | 2.0 | 12 | Citations (PDF) |
| 124 | Small airway segmentation in thoracic computed tomography scans: a machine learning approach | 3.1 | 20 | Citations (PDF) |
| 125 | Automated measurement of fetal head circumference using 2D ultrasound images | 2.3 | 202 | Citations (PDF) |
| 126 | Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus | 1.2 | 32 | Citations (PDF) |
| 127 | Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan | 3.4 | 55 | Citations (PDF) |
| 128 | Longitudinal Phenotypes and Mortality in Preserved Ratio Impaired Spirometry in the COPDGene Study | 8.9 | 253 | Citations (PDF) |
| 129 | Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study | 2.3 | 10 | Citations (PDF) |
| 130 | Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies | 4.8 | 184 | Citations (PDF) |
| 131 | Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management | 3.6 | 55 | Citations (PDF) |
| 132 | Real-Life Artificial Intelligence Applications | 0.4 | 1 | Citations (PDF) |
| 133 | Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network | 3.1 | 86 | Citations (PDF) |
| 134 | Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules | 3.6 | 18 | Citations (PDF) |
| 135 | Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography | 3.1 | 8 | Citations (PDF) |
| 136 | Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning | 1.4 | 155 | Citations (PDF) |
| 137 | Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin | 3.3 | 122 | Citations (PDF) |
| 138 | Genetic Association and Risk Scores in a Chronic Obstructive Pulmonary Disease Meta-analysis of 16,707 Subjects | 3.8 | 62 | Citations (PDF) |
| 139 | Computed tomography quantification of tracheal abnormalities in COPD and their influence on airflow limitation | 3.1 | 9 | Citations (PDF) |
| 140 | Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial | 8.7 | 36 | Citations (PDF) |
| 141 | Towards automatic pulmonary nodule management in lung cancer screening with deep learning | 3.4 | 286 | Citations (PDF) |
| 142 | Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules | 3.6 | 16 | Citations (PDF) |
| 143 | Fast interactive segmentation of the pulmonary lobes from thoracic computed tomography data | 3.1 | 13 | Citations (PDF) |
| 144 | Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules? | 8.7 | 52 | Citations (PDF) |
| 145 | White Matter and Gray Matter Segmentation in 4D Computed Tomography | 3.4 | 24 | Citations (PDF) |
| 146 | Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines | 3.6 | 49 | Citations (PDF) |
| 147 | Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients | 10.5 | 20 | Citations (PDF) |
| 148 | A survey on deep learning in medical image analysis | 10.5 | 11,651 | Citations (PDF) |
| 149 | Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer | 16.6 | 2,767 | Citations (PDF) |
| 150 | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients | 3.4 | 45 | Citations (PDF) |
| 151 | Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge | 10.5 | 1,079 | Citations (PDF) |
| 152 | Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities | 3.4 | 203 | Citations (PDF) |
| 153 | Improving airway segmentation in computed tomography using leak detection with convolutional networks | 10.5 | 109 | Citations (PDF) |
| 154 | Large scale deep learning for computer aided detection of mammographic lesions | 10.5 | 849 | Citations (PDF) |
| 155 | Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography 2017, 58, 2318 | | 113 | Citations (PDF) |
| 156 | Automatic detection of the foveal center in optical coherence tomography | 2.8 | 29 | Citations (PDF) |
| 157 | Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks | 2.8 | 122 | Citations (PDF) |
| 158 | Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey | 1.2 | 32 | Citations (PDF) |
| 159 | Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers | 2.3 | 32 | Citations (PDF) |
| 160 | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality | 2.3 | 16 | Citations (PDF) |
| 161 | Incidental perifissural nodules on routine chest computed tomography: lung cancer or not? | 3.6 | 34 | Citations (PDF) |
| 162 | Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images | 1.2 | 144 | Citations (PDF) |
| 163 | Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures | 2.0 | 0 | Citations (PDF) |
| 164 | The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities | 1.5 | 8 | Citations (PDF) |
| 165 | Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach | 2.8 | 8 | Citations (PDF) |
| 166 | An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information | 3.4 | 128 | Citations (PDF) |
| 167 | Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis | 3.4 | 933 | Citations (PDF) |
| 168 | Semi-automatic classification of textures in thoracic CT scans | 3.1 | 6 | Citations (PDF) |
| 169 | Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance – a survey study | 3.6 | 33 | Citations (PDF) |
| 170 | Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas | 3.6 | 46 | Citations (PDF) |
| 171 | Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability | 2.9 | 9 | Citations (PDF) |
| 172 | The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas | 2.9 | 17 | Citations (PDF) |
| 173 | Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique | 7.6 | 1,433 | Citations (PDF) |
| 174 | Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases | 5.3 | 37 | Citations (PDF) |
| 175 | Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks | 7.6 | 1,073 | Citations (PDF) |
| 176 | Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans | 2.1 | 35 | Citations (PDF) |
| 177 | Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images | 7.6 | 375 | Citations (PDF) |
| 178 | Automatic detection of pleural effusion in chest radiographs | 10.5 | 34 | Citations (PDF) |
| 179 | On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis | 7.6 | 52 | Citations (PDF) |
| 180 | Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging | 8.7 | 23 | Citations (PDF) |
| 181 | Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population | 3.6 | 18 | Citations (PDF) |
| 182 | Interleaving cerebral CT perfusion with neck CT angiography part I. Proof of concept and accuracy of cerebral perfusion values | 3.6 | 9 | Citations (PDF) |
| 183 | Interleaving cerebral CT perfusion with neck CT angiography. Part II: clinical implementation and image quality | 3.6 | 14 | Citations (PDF) |
| 184 | Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays | 1.2 | 20 | Citations (PDF) |
| 185 | Automatic detection of large pulmonary solid nodules in thoracic CT images | 3.1 | 119 | Citations (PDF) |
| 186 | Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs | 3.4 | 67 | Citations (PDF) |
| 187 | Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management | 8.7 | 168 | Citations (PDF) |
| 188 | Parametric Response Mapping Adds Value to Current Computed Tomography Biomarkers in Diagnosing Chronic Obstructive Pulmonary Disease | 8.9 | 37 | Citations (PDF) |
| 189 | Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis | 7.6 | 71 | Citations (PDF) |
| 190 | Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans | 3.1 | 74 | Citations (PDF) |
| 191 | Airway wall thickness associated with forced expiratory volume in 1 second decline and development of airflow limitation | 8.7 | 70 | Citations (PDF) |
| 192 | Novel Genes for Airway Wall Thickness Identified with Combined Genome-Wide Association and Expression Analyses | 8.9 | 33 | Citations (PDF) |
| 193 | Automatic Identification of Reticular Pseudodrusen Using Multimodal Retinal Image Analysis | 3.3 | 38 | Citations (PDF) |
| 194 | Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography | 7.6 | 40 | Citations (PDF) |
| 195 | Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial | 3.6 | 78 | Citations (PDF) |
| 196 | Solid, Part-Solid, or Non-Solid? | 6.8 | 45 | Citations (PDF) |
| 197 | Timing-Invariant CT Angiography Derived from CT Perfusion Imaging in Acute Stroke: A Diagnostic Performance Study | 2.6 | 24 | Citations (PDF) |
| 198 | Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box | 10.5 | 262 | Citations (PDF) |
| 199 | Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images | 7.6 | 50 | Citations (PDF) |
| 200 | Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules? | 8.7 | 116 | Citations (PDF) |
| 201 | A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays | 7.6 | 114 | Citations (PDF) |
| 202 | Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database | 3.6 | 106 | Citations (PDF) |
| 203 | Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification | 3.6 | 64 | Citations (PDF) |
| 204 | The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia | 2.3 | 88 | Citations (PDF) |
| 205 | Influence of study design in receiver operating characteristics studies: sequential versus independent reading | 1.2 | 7 | Citations (PDF) |
| 206 | Interactive lung segmentation in abnormal human and animal chest CT scans | 3.1 | 7 | Citations (PDF) |
| 207 | A 4D digital phantom for patient-specific simulation of brain CT perfusion protocols | 3.1 | 4 | Citations (PDF) |
| 208 | Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images | 8.7 | 73 | Citations (PDF) |
| 209 | Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming | 3.1 | 6 | Citations (PDF) |
| 210 | Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection | 3.1 | 3 | Citations (PDF) |
| 211 | Chest Radiography: New Technological Developments and Their Applications | 2.3 | 18 | Citations (PDF) |
| 212 | DIRBoost–An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration | 10.5 | 24 | Citations (PDF) |
| 213 | Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images | 10.5 | 232 | Citations (PDF) |
| 214 | Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge | 10.5 | 682 | Citations (PDF) |
| 215 | Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD | 2.6 | 30 | Citations (PDF) |
| 216 | Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study | 10.5 | 148 | Citations (PDF) |
| 217 | New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs | 2.4 | 8 | Citations (PDF) |
| 218 | Contribution of CT Quantified Emphysema, Air Trapping and Airway Wall Thickness on Pulmonary Function in Male Smokers With and Without COPD | 2.0 | 45 | Citations (PDF) |
| 219 | Interscan variation of semi-automated volumetry of subsolid pulmonary nodules | 3.6 | 24 | Citations (PDF) |
| 220 | Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study | 3.6 | 10 | Citations (PDF) |
| 221 | Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation | 3.6 | 63 | Citations (PDF) |
| 222 | Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa | 2.3 | 92 | Citations (PDF) |
| 223 | Bone Suppression Increases the Visibility of Invasive Pulmonary Aspergillosis in Chest Radiographs | 2.3 | 14 | Citations (PDF) |
| 224 | Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening | 4.2 | 71 | Citations (PDF) |
| 225 | Rate of progression of CT-quantified emphysema in male current and ex-smokers: a follow-up study | 4.2 | 35 | Citations (PDF) |
| 226 | Low-dose CT measurements of airway dimensions and emphysema associated with airflow limitation in heavy smokers: a cross sectional study | 4.2 | 34 | Citations (PDF) |
| 227 | Bone suppressed images improve radiologists’ detection performance for pulmonary nodules in chest radiographs | 2.9 | 29 | Citations (PDF) |
| 228 | Suppression of Translucent Elongated Structures: Applications in Chest Radiography | 7.6 | 31 | Citations (PDF) |
| 229 | Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi | 7.6 | 99 | Citations (PDF) |
| 230 | Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review | 3.1 | 123 | Citations (PDF) |
| 231 | Timing-Invariant Imaging of Collateral Vessels in Acute Ischemic Stroke | 6.0 | 94 | Citations (PDF) |
| 232 | Computer-Aided Segmentation and Volumetry of Artificial Ground-Glass Nodules at Chest CT | 4.1 | 29 | Citations (PDF) |
| 233 | Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey | 2.0 | 47 | Citations (PDF) |
| 234 | Foreign object detection and removal to improve automated analysis of chest radiographs | 3.1 | 6 | Citations (PDF) |
| 235 | Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers | 1.2 | 74 | Citations (PDF) |
| 236 | Automatic Drusen Quantification and Risk Assessment of Age-Related Macular Degeneration on Color Fundus Images 2013, 54, 3019 | | 49 | Citations (PDF) |
| 237 | Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniques | 2.8 | 4 | Citations (PDF) |
| 238 | CT Air Trapping Is Independently Associated with Lung Function Reduction over Time | 2.3 | 11 | Citations (PDF) |
| 239 | Computed Tomography Structural Lung Changes in Discordant Airflow Limitation | 2.3 | 14 | Citations (PDF) |
| 240 | Semi-Automatic Quantification of Subsolid Pulmonary Nodules: Comparison with Manual Measurements | 2.3 | 26 | Citations (PDF) |
| 241 | Improved Arterial Visualization in Cerebral CT Perfusion–Derived Arteriograms Compared with Standard CT Angiography: A Visual Assessment Study | 2.6 | 8 | Citations (PDF) |
| 242 | Timing-Invariant Reconstruction for Deriving High-Quality CT Angiographic Data from Cerebral CT Perfusion Data | 8.7 | 71 | Citations (PDF) |
| 243 | Computed tomography-quantified emphysema distribution is associated with lung function decline | 8.7 | 74 | Citations (PDF) |
| 244 | Normal Range of Emphysema and Air Trapping on CT in Young Men | 4.1 | 56 | Citations (PDF) |
| 245 | Pulmonary Perifissural Nodules on CT Scans: Rapid Growth Is Not a Predictor of Malignancy | 8.7 | 176 | Citations (PDF) |
| 246 | Coronary Artery Calcium Can Predict All-Cause Mortality and Cardiovascular Events on Low-Dose CT Screening for Lung Cancer | 4.1 | 163 | Citations (PDF) |
| 247 | Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT | 3.1 | 46 | Citations (PDF) |
| 248 | Lung Function Decline in Male Heavy Smokers Relates to Baseline Airflow Obstruction SeverityChest, 2012, 142, 1530-1538 | 1.0 | 26 | Citations (PDF) |
| 249 | Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography | 7.6 | 119 | Citations (PDF) |
| 250 | Early Identification of Small Airways Disease on Lung Cancer Screening CT: Comparison of Current Air Trapping Measures | 2.6 | 60 | Citations (PDF) |
| 251 | Clavicle segmentation in chest radiographs | 10.5 | 40 | Citations (PDF) |
| 252 | Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration | 10.5 | 44 | Citations (PDF) |
| 253 | Extraction of Airways From CT (EXACT'09) | 7.6 | 240 | Citations (PDF) |
| 254 | Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans | 10.5 | 43 | Citations (PDF) |
| 255 | On Combining Computer-Aided Detection Systems | 7.6 | 113 | Citations (PDF) |
| 256 | Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge | 7.6 | 389 | Citations (PDF) |
| 257 | Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs | 7.6 | 176 | Citations (PDF) |
| 258 | Semi-automatic construction of reference standards for evaluation of image registration | 10.5 | 101 | Citations (PDF) |
| 259 | TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps | 3.1 | 84 | Citations (PDF) |
| 260 | Association of the transfer coefficient of the lung for carbon monoxide with emphysema progression in male smokers | 8.7 | 24 | Citations (PDF) |
| 261 | Identification of Chronic Obstructive Pulmonary Disease in Lung Cancer Screening Computed Tomographic Scans | 16.6 | 137 | Citations (PDF) |
| 262 | CT-quantified emphysema in male heavy smokers: association with lung function decline | 5.6 | 160 | Citations (PDF) |
| 263 | Evaluation of a Computer-Aided Diagnosis System for Diabetic Retinopathy Screening on Public Data 2011, 52, 4866 | | 115 | Citations (PDF) |
| 264 | Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic | 8.7 | 282 | Citations (PDF) |
| 265 | The relationship between lung function impairment and quantitative computed tomography in chronic obstructive pulmonary disease | 3.6 | 59 | Citations (PDF) |
| 266 | A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema | 3.6 | 52 | Citations (PDF) |
| 267 | Quantitative Computed Tomography in COPD: Possibilities and Limitations | 2.6 | 119 | Citations (PDF) |
| 268 | Automated estimation of progression of interstitial lung disease in CT images | 3.1 | 19 | Citations (PDF) |
| 269 | Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study | 10.5 | 272 | Citations (PDF) |
| 270 | Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs | 7.6 | 458 | Citations (PDF) |
| 271 | Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures | 7.6 | 90 | Citations (PDF) |
| 272 | Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus | 10.5 | 141 | Citations (PDF) |
| 273 | Automatic segmentation of intracranial arteries and veins in four‐dimensional cerebral CT perfusion scans | 3.1 | 31 | Citations (PDF) |
| 274 | Automated aortic calcium scoring on low‐dose chest computed tomography | 3.1 | 39 | Citations (PDF) |
| 275 | Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance | 8.7 | 71 | Citations (PDF) |
| 276 | Screening for Lung Cancer with Digital Chest Radiography: Sensitivity and Number of Secondary Work-up CT Examinations | 8.7 | 45 | Citations (PDF) |
| 277 | Coronary Artery Calcification Scoring in Low-Dose Ungated CT Screening for Lung Cancer: Interscan Agreement | 4.1 | 57 | Citations (PDF) |
| 278 | Distribution of emphysema in heavy smokers: Impact on pulmonary function | 2.6 | 29 | Citations (PDF) |
| 279 | Reply to Hochheggar et al. | 2.6 | 0 | Citations (PDF) |
| 280 | Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers | 1.5 | 123 | Citations (PDF) |
| 281 | Modified Chrispin-Norman chest radiography score for cystic fibrosis: observer agreement and correlation with lung function | 3.6 | 16 | Citations (PDF) |
| 282 | Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection | 3.1 | 201 | Citations (PDF) |
| 283 | Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT | 3.1 | 35 | Citations (PDF) |
| 284 | Automatic Segmentation of Pulmonary Segments From Volumetric Chest CT Scans | 7.6 | 77 | Citations (PDF) |
| 285 | Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans | 7.6 | 348 | Citations (PDF) |
| 286 | Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs | 7.6 | 110 | Citations (PDF) |
| 287 | Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets | 7.6 | 979 | Citations (PDF) |
| 288 | Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch | 7.6 | 97 | Citations (PDF) |
| 289 | Fast detection of the optic disc and fovea in color fundus photographs | 10.5 | 193 | Citations (PDF) |
| 290 | A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification | 10.5 | 293 | Citations (PDF) |
| 291 | Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs | 7.1 | 24 | Citations (PDF) |
| 292 | Computer-aided diagnosis in chest radiography: Beyond nodules | 2.9 | 81 | Citations (PDF) |
| 293 | Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs | 2.9 | 33 | Citations (PDF) |
| 294 | Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT | 6.8 | 18 | Citations (PDF) |
| 295 | Computer‐Aided Diagnosis in Thoracic Computed Tomography | 0.1 | 9 | Citations (PDF) |
| 296 | Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans | 7.6 | 66 | Citations (PDF) |
| 297 | Can the Extent of Low-Attenuation Areas on CT Scans Really Demonstrate Changes in the Severity of Emphysema? | 8.7 | 7 | Citations (PDF) |
| 298 | Anniversary Paper: Image processing and manipulation through the pages of Medical Physics | 3.1 | 9 | Citations (PDF) |
| 299 | A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: What is the minimum increase in size to detect growth in repeated CT examinations | 3.6 | 150 | Citations (PDF) |
| 300 | Automated Detection and Differentiation of Drusen, Exudates, and Cotton-Wool Spots in Digital Color Fundus Photographs for Diabetic Retinopathy Diagnosis 2007, 48, 2260 | | 348 | Citations (PDF) |
| 301 | Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease | 3.1 | 92 | Citations (PDF) |
| 302 | Computer‐aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography | 3.1 | 30 | Citations (PDF) |
| 303 | Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs | 7.6 | 197 | Citations (PDF) |
| 304 | Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data | 10.5 | 54 | Citations (PDF) |
| 305 | Local noise weighted filtering for emphysema scoring of low-dose CT images | 7.6 | 75 | Citations (PDF) |
| 306 | Computer analysis of computed tomography scans of the lung: a survey | 7.6 | 493 | Citations (PDF) |
| 307 | Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung | 3.1 | 55 | Citations (PDF) |
| 308 | Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database | 10.5 | 473 | Citations (PDF) |
| 309 | Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening | 10.5 | 135 | Citations (PDF) |
| 310 | A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database | 10.5 | 142 | Citations (PDF) |
| 311 | Filter learning: Application to suppression of bony structures from chest radiographs | 10.5 | 55 | Citations (PDF) |
| 312 | Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification | 7.6 | 77 | Citations (PDF) |
| 313 | Dimensionality reduction of image features using the canonical contextual correlation projection | 7.1 | 15 | Citations (PDF) |
| 314 | Automatic detection of red lesions in digital color fundus photographs | 7.6 | 436 | Citations (PDF) |
| 315 | Toward automated segmentation of the pathological lung in CT | 7.6 | 217 | Citations (PDF) |
| 316 | Interactive segmentation of abdominal aortic aneurysms in CTA images | 10.5 | 109 | Citations (PDF) |
| 317 | Automatic detection of calcifications in the aorta from CT scans of the abdomen1 | 2.7 | 45 | Citations (PDF) |
| 318 | Ridge-Based Vessel Segmentation in Color Images of the Retina | 7.6 | 3,570 | Citations (PDF) |
| 319 | Multi-scale texture classification from generalized locally orderless images | 7.1 | 21 | Citations (PDF) |
| 320 | Automatic detection of calcifications in the aorta from abdominal CT scans | 0.2 | 3 | Citations (PDF) |
| 321 | Computer-aided diagnosis in high resolution CT of the lungs | 3.1 | 123 | Citations (PDF) |
| 322 | Automatic detection of abnormalities in chest radiographs using local texture analysis | 7.6 | 208 | Citations (PDF) |
| 323 | Active shape model segmentation with optimal features | 7.6 | 452 | Citations (PDF) |
| 324 | Computer-aided diagnosis in chest radiography: a survey | 7.6 | 439 | Citations (PDF) |
| 325 | Applications of Locally Orderless Images | 2.8 | 12 | Citations (PDF) |
| 326 | Automatic segmentation of lung fields in chest radiographs | 3.1 | 97 | Citations (PDF) |
| 327 | Title is missing! | 6.1 | 57 | Citations (PDF) |
| 328 | Reflectance and texture of real-world surfaces | 4.7 | 1,137 | Citations (PDF) |
| 329 | Diffuse and Specular Reflectance from Rough Surfaces | 1.8 | 179 | Citations (PDF) |
| 330 | Surface bidirectional reflection distribution function and the texture of bricks and tiles | 1.8 | 8 | Citations (PDF) |
| 331 | A 4D CT digital phantom of an individual human brain for perfusion analysis | 0.0 | 5 | Citations (PDF) |
| 332 | Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks | 0.0 | 52 | Citations (PDF) |
| 333 | Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity | 0.0 | 0 | Citations (PDF) |
| 334 | Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study | 2.2 | 3 | Citations (PDF) |
| 335 | Leveraging open-source large language models for clinical information extraction in resource-constrained settings | 2.5 | 4 | Citations (PDF) |
