publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2024
- Deep learning discrimination of rheumatoid arthritis from osteoarthritis on hand radiographySkeletal Radiology, 2024
- Genetic drivers of heterogeneity in type 2 diabetes pathophysiologyNature, 2024
- Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma CenterRadiology: Artificial Intelligence, 2024
2023
- Evaluating progress in automatic chest x-ray radiology report generationPatterns, 2023
- Multi-ancestry genome-wide study in> 2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications2023
- Artificial intelligence in neuroimaging of brain tumors: reality or still promise?Current Opinion in Neurology, 2023
2022
- Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical dataEuropean radiology, 2022
- Federated deep learning to more reliably detect body part for hanging protocols, relevant priors, and workflow optimizationJournal of Digital Imaging, 2022
- Artificial intelligence class activation mapping of bone ageRadiology, 2022
- Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translationNature genetics, 2022
- A systematic review of deep learning applications for optical coherence tomography in age-related macular degenerationRetina, 2022
- End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary studyJournal of Stroke and Cerebrovascular Diseases, 2022
- Efficient labeling of retinal fundus photographs using deep active learningJournal of Medical Imaging, 2022
2021
- Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imagingEuropean radiology, 2021
- Computer-assisted measurement of traumatic brain hemorrhage volume is more predictive of functional outcome and mortality than standard abc/2 method: an analysis of computed tomography imaging data from the progesterone for traumatic brain injury experimental clinical treatment phase-iii trialJournal of Neurotrauma, 2021
- Deep learning for pulmonary embolism detection: tackling the RSNA 2020 AI challengeRadiology: Artificial Intelligence, 2021
- SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammogramsMedical physics, 2021
- Deep learning: an update for radiologistsRadiographics, 2021
- Clinical artificial intelligence applications in radiology: NeuroRadiologic Clinics, 2021
- DICOM image analysis and archive (DIANA): An open-source system for clinical AI applicationsJournal of Digital Imaging, 2021
- Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging (Oct, 10.1007/s00330-020-07266-x, 2020)EUROPEAN RADIOLOGY, 2021
2020
- Deep learning in neuroradiology: a systematic review of current algorithms and approaches for the new wave of imaging technologyRadiology: Artificial Intelligence, 2020
- Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CTRadiology, 2020
- Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CTRadiology, 2020
- Thyroid nodule malignancy risk stratification using a convolutional neural networkUltrasound Quarterly, 2020
- Regarding “serial quantitative chest CT assessment of COVID-19: deep-learning approach”Radiology: Cardiothoracic Imaging, 2020
- Reproducible artificial intelligence research requires open communication of complete source codeRadiology: Artificial Intelligence, 2020
- Rethinking Greulich and Pyle: a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographsRadiology: Artificial intelligence, 2020
- Deep learning-based classification of primary bone tumors on radiographs: A preliminary studyEBioMedicine, 2020
2019
- Generalizable inter-institutional classification of abnormal chest radiographs using efficient convolutional neural networksJournal of digital imaging, 2019
- The RSNA pediatric bone age machine learning challengeRadiology, 2019
- Tackling the radiological society of North America pneumonia detection challengeAmerican Journal of Roentgenology, 2019
- Improving automated pediatric bone age estimation using ensembles of models from the 2017 RSNA machine learning challengeRadiology: Artificial Intelligence, 2019
2017
- Machine learning for social services: a study of prenatal case management in IllinoisAmerican journal of public health, 2017
- Identification of Novel Type 2 Diabetes Loci in African Americans: The MEDIA ConsortiumIn DIABETES, 2017