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A nanoconfined iron() fluoride cathode in a NaDFOB electrolyte: towards high-performance sodium-ion batteries

Journal of materials chemistry. A, Materials for energy and sustainability, 2020-01, Vol.8 (7), p.491-498

2020

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Evaluation of neonatal brain myelination using the T1‐ and T2‐weighted MRI ratio

Journal of magnetic resonance imaging, 2017-09, Vol.46 (3), p.690-696

2017

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Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom

PloS one, 2021-06, Vol.16 (6), p.e0252966-e0252966

2021

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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm

Annals of surgical oncology, 2018-10, Vol.25 (10), p.3037-3043

2018

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Advanced MR Imaging of the Temporal Bone

Neuroimaging clinics of North America, 2019-02, Vol.29 (1), p.197-202

2019

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Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

Journal of digital imaging, 2019-02, Vol.32 (1), p.141-147

2019

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On the Fairness of PV Curtailment Schemes in Residential Distribution Networks

IEEE transactions on smart grid, 2020-09, Vol.11 (5), p.4502-4512

2020

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A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database

Magnetic resonance imaging, 2020-11, Vol.73, p.148-151

2020

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Using OPF-Based Operating Envelopes to Facilitate Residential DER Services

IEEE transactions on smart grid, 2022-11, Vol.13 (6), p.4494-4504

2022

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Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers

IEEE transactions on smart grid, 2021-09, Vol.12 (5), p.3877-3888

2021

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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score

Journal of magnetic resonance imaging, 2019-02, Vol.49 (2), p.518-524

2019

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Weakly Supervised Deep Learning Approach to Breast MRI Assessment

Academic radiology, 2022-01, Vol.29, p.S166-S172

2022

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Assessing the effects of DER on voltages using a smart meter-driven three-phase LV feeder model

Electric power systems research, 2020-12, Vol.189, p.106705, Article 106705

2020

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Deep learning prediction of axillary lymph node status using ultrasound images

Computers in biology and medicine, 2022-04, Vol.143, p.105250-105250, Article 105250

2022

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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

Journal of digital imaging, 2019-04, Vol.32 (2), p.276-282

2019

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Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset

Journal of digital imaging, 2019-10, Vol.32 (5), p.693-701

2019

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On the Implementation of OPF-Based Setpoints for Active Distribution Networks

IEEE transactions on smart grid, 2021-07, Vol.12 (4), p.2929-2940

2021

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Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset

Academic radiology, 2019-04, Vol.26 (4), p.544-549

2019

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

Journal of digital imaging, 2018-12, Vol.31 (6), p.851-856

2018

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Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI

Clinical breast cancer, 2020-06, Vol.20 (3), p.e301-e308

2020

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Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network–Based Machine Learning Approach Using Mammographic Image Data

American journal of roentgenology (1976), 2019-05, Vol.212 (5), p.1166-1171

2019

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Can diffusion‐weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?

Journal of magnetic resonance imaging, 2017-08, Vol.46 (2), p.393-402

2017

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Using OPF-Based Operating Envelopes to Facilitate Residential DER Services

2023 IEEE Power & Energy Society General Meeting (PESGM), 2023, p.1-1

2023

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Insulin Hexamer‐Caged Gadolinium Ion as MRI Contrast‐o‐phore

Chemistry : a European journal, 2018-07, Vol.24 (42), p.10646-10652

2018

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Frontispiece: Insulin Hexamer‐Caged Gadolinium Ion as MRI Contrast‐o‐phore

Chemistry : a European journal, 2018-07, Vol.24 (42), p.n/a

2018

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A nanoconfined iron() fluoride cathode in a NaDFOB electrolyte: towards high-performance sodium-ion batteries

Evaluation of neonatal brain myelination using the T1‐ and T2‐weighted MRI ratio

Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom

Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm

Advanced MR Imaging of the Temporal Bone

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

On the Fairness of PV Curtailment Schemes in Residential Distribution Networks

A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database

Using OPF-Based Operating Envelopes to Facilitate Residential DER Services

Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers

Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score

Weakly Supervised Deep Learning Approach to Breast MRI Assessment

Assessing the effects of DER on voltages using a smart meter-driven three-phase LV feeder model

Deep learning prediction of axillary lymph node status using ultrasound images

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset

On the Implementation of OPF-Based Setpoints for Active Distribution Networks

Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI

Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network–Based Machine Learning Approach Using Mammographic Image Data

Can diffusion‐weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?

Using OPF-Based Operating Envelopes to Facilitate Residential DER Services

Insulin Hexamer‐Caged Gadolinium Ion as MRI Contrast‐o‐phore

Frontispiece: Insulin Hexamer‐Caged Gadolinium Ion as MRI Contrast‐o‐phore

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