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Author Details
Full Name
Daniel L Rubin
Affiliation
Stanford University.
ORCID
Career Start Year
1981
Papers
343
H Index
54
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36370180
Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation.
Abdom Radiol (NY)
2023
36370180
Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation.
Abdom Radiol (NY)
2023
37573581
Erratum: "MRI pulse sequence integration for deep-learning-based brain metastases segmentation".
Med Phys
2023
37218941
Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging.
Tomography
2023
37018684
Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks.
IEEE J Biomed Health Inform
2023
37018314
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans Med Imaging
2023
36753979
PlexusNet: A neural network architectural concept for medical image classification.
Comput Biol Med
2023
36633614
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models.
Eur J Nucl Med Mol Imaging
2023
37388280
Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients.
J Med Imaging (Bellingham)
2023
37128395
Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction.
AMIA Annu Symp Proc
2023
36934383
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.
J Cardiovasc Electrophysiol
2023
36743439
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
Front Neuroinform
2023
37055475
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.
Sci Rep
2023
36615186
Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
J Clin Med
2023
37293349
AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans.
Radiol Artif Intell
2023
37104137
Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials.
Tomography
2023
37544983
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women.
Breast Cancer Res
2023
37544983
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women.
Breast Cancer Res
2023
37573581
Erratum: "MRI pulse sequence integration for deep-learning-based brain metastases segmentation".
Med Phys
2023
37218941
Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging.
Tomography
2023
37055475
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.
Sci Rep
2023
37388280
Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients.
J Med Imaging (Bellingham)
2023
37018684
Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks.
IEEE J Biomed Health Inform
2023
37018314
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans Med Imaging
2023
37104137
Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials.
Tomography
2023
37128395
Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction.
AMIA Annu Symp Proc
2023
37293349
AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans.
Radiol Artif Intell
2023
36753979
PlexusNet: A neural network architectural concept for medical image classification.
Comput Biol Med
2023
36615186
Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
J Clin Med
2023
36743439
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
Front Neuroinform
2023
36934383
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.
J Cardiovasc Electrophysiol
2023
36633614
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models.
Eur J Nucl Med Mol Imaging
2023
34864210
A weakly supervised model for the automated detection of adverse events using clinical notes.
J Biomed Inform
2022
35390737
Handling data heterogeneity with generative replay in collaborative learning for medical imaging.
Med Image Anal
2022
35652118
Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning-based Risk Stratification System Using US Cine-Clip Images.
Radiol Artif Intell
2022
35749336
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging.
IEEE J Biomed Health Inform
2022
35802836
Accuracy of Electronic Medical Record Follow-Up Data for Estimating the Survival Time of Patients With Cancer.
JCO Clin Cancer Inform
2022
35867397
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes.
Circ Arrhythm Electrophysiol
2022
36324799
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.
medRxiv
2022
36195599
A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions.
Sci Data
2022
36624800
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit
2022
37520117
Erratum: Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat Mach Intell
2022
34864210
A weakly supervised model for the automated detection of adverse events using clinical notes.
J Biomed Inform
2022
35296449
Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity.
Ophthalmol Retina
2022
35308953
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text.
AMIA Annu Symp Proc
2022
35149938
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.
J Digit Imaging
2022
35197467
Uncovering interpretable potential confounders in electronic medical records.
Nat Commun
2022
35197110
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma.
J Biomed Semantics
2022
37520117
Erratum: Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat Mach Intell
2022
35652118
Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning-based Risk Stratification System Using US Cine-Clip Images.
Radiol Artif Intell
2022
1 - 50 of 686
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