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Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features

Journal of the American College of Radiology, 2018-03, Vol.15 (3), p.527-534

2018

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Hippocampus segmentation through multi-view ensemble ConvNets

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, p.192-196

2017

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Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

Diagnostics (Basel), 2020-11, Vol.10 (11), p.951

2020

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Nonlinear metric learning for kNN and SVMs through geometric transformations

Neurocomputing (Amsterdam), 2018-11, Vol.318, p.18-29

2018

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Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?

Academic radiology, 2017-09, Vol.24 (9), p.1139-1147

2017

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Quad-mesh based radial distance biomarkers for Alzheimer's disease

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.19-23

2016

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Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

Pattern recognition, 2017-03, Vol.63, p.487-498

2017

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Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations

Information Processing in Medical Imaging, p.249-261

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Quasifractal Networks as Current Collectors for Transparent Flexible Supercapacitors

Advanced functional materials, 2019-11, Vol.29 (48), p.n/a

2019

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Electrochemical Fingerprinting of Potatoes and Their Compositional Changes During Storage

International journal of electrochemical science, 2022-09, Vol.17 (9), p.220940, Article 220940

2022

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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

JAMA network open, 2020-03, Vol.3 (3), p.e200265-e200265

2020

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3D honeycomb NiCo2S4 @ Ni(OH)2 nanosheets for flexible all-solid-state asymmetric supercapacitors with enhanced specific capacitance

Journal of alloys and compounds, 2019-06, Vol.790, p.693-702

2019

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Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487–498]

Pattern recognition, 2017-06, Vol.66, p.447-447

2017

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A bio-inspired 3D quasi-fractal nanostructure for an improved oxygen evolution reactionElectronic supplementary information (ESI) available. See DOI: 10.1039/c8cc08221a

2019-01

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A bio-inspired 3D quasi-fractal nanostructure for an improved oxygen evolution reaction

Chemical communications (Cambridge, England), 2019-01, Vol.55 (3), p.357-360

2019

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Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble

Machine Learning in Medical Imaging, 2017, p.88-96

2017

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False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.1355-1359

2020

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Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.898-903

2018

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Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores

Quantitative imaging in medicine and surgery, 2020-04, Vol.10 (4), p.808-823

2020

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Distance-informed metric learning for Alzheimer's disease staging

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.934-937

2014

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Diversification and Generalization for Metric Learning with Applications in Neuroimaging

Shi, Bibo

2015

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Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.2312-2315

2013

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Nonlinear Feature Transformation and Deep Fusion for Alzheimer’s Disease Staging Analysis

Machine Learning in Medical Imaging, 2015, p.304-312

2015

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Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.12-20

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Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016, p.314-319

2016

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Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features

Hippocampus segmentation through multi-view ensemble ConvNets

Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

Nonlinear metric learning for kNN and SVMs through geometric transformations

Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?

Quad-mesh based radial distance biomarkers for Alzheimer's disease

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations

Quasifractal Networks as Current Collectors for Transparent Flexible Supercapacitors

Electrochemical Fingerprinting of Potatoes and Their Compositional Changes During Storage

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

3D honeycomb NiCo2S4 @ Ni(OH)2 nanosheets for flexible all-solid-state asymmetric supercapacitors with enhanced specific capacitance

Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487–498]

A bio-inspired 3D quasi-fractal nanostructure for an improved oxygen evolution reactionElectronic supplementary information (ESI) available. See DOI: 10.1039/c8cc08221a

A bio-inspired 3D quasi-fractal nanostructure for an improved oxygen evolution reaction

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups

Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores

Distance-informed metric learning for Alzheimer's disease staging

Diversification and Generalization for Metric Learning with Applications in Neuroimaging

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice

Nonlinear Feature Transformation and Deep Fusion for Alzheimer’s Disease Staging Analysis

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting

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