Citation Impact
Citing Papers
Computational Radiomics System to Decode the Radiographic Phenotype
2017 Standout
Artificial intelligence in healthcare: past, present and future
2017 Standout
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
2016
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Computer-Aided Diagnosis of Lung Cancer and Pulmonary Embolism in Computed Tomography—A Review
2008
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
2009
Automatic nodule detection for lung cancer in CT images: A review
2018
A survey of MRI-based medical image analysis for brain tumor studies
2013 Standout
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
2012
A method for measuring the presampled MTF of digital radiographic systems using an edge test device
1998 Standout
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings
2019
Radiomics: Images Are More than Pictures, They Are Data
2015 Standout
Convolutional neural networks: an overview and application in radiology
2018 Standout
Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology
2006
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population
2010
Artificial Intelligence in Radiation Therapy
2021
Big data and machine learning algorithms for health-care delivery
2019 Standout
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
2019
Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
2018
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities
2016
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Automated detection of multiple sclerosis lesions in serial brain MRI
2011
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
2012
Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers
2016
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Printable organometallic perovskite enables large-area, low-dose X-ray imaging
2017 StandoutNature
Histopathological Image Analysis: A Review
2009 Standout
3D printing based on imaging data: review of medical applications
2010 Standout
Computer-aided diagnosis in medical imaging: Historical review, current status and future potential
2007
Artificial intelligence in radiology
2018 Standout
Anniversary Paper: History and status of CAD and quantitative image analysis: The role ofMedical Physicsand AAPM
2008
Radiomics: the bridge between medical imaging and personalized medicine
2017 Standout
Single-cell transcriptomic analysis of Alzheimer’s disease
2019 StandoutNature
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
2019
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
2020 Standout
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
Tensor Regression with Applications in Neuroimaging Data Analysis
2013 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies
2013
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
2019 Standout
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
2018 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images
2019
The Potential of Radiomic-Based Phenotyping in Precision Medicine
2016
A Survey of Deep Active Learning
2021 Standout
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
2014
Ensemble learning: A survey
2018 Standout
Works of Hidetaka Arimura being referenced
Intracranial Aneurysms at MR Angiography: Effect of Computer-aided Diagnosis on Radiologists' Detection Performance
2005
Computerized detection of intracranial aneurysms for three‐dimensional MR angiography: Feature extraction of small protrusions based on a shape‐based difference image technique
2006
Similar-cases-based planning approaches with beam angle optimizations using water equivalent path length for lung stereotactic body radiation therapy
2020
Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional magnetic resonance angiography1
2004
Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging
2010
Automated detection of multiple sclerosis candidate regions in MR images: false-positive removal with use of an ANN-controlled level-set method
2011
Automated Method for Identification of Patients With Alzheimer’s Disease Based on Three-dimensional MR Images
2008
Computer-aided Detection of Peripheral Lung Cancers Missed at CT: ROC Analyses without and with Localization
2005
Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine
2010
Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images
2009
X‐ray tube voltage dependence of Wiener spectra of quantum mottle obtained by determining detective quantum efficiencies of a screen
1996
Computer-aided classification of Alzheimer's disease based on support vector machine with combination of cerebral image features in MRI
2016
Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening1
2004