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Models and methods for analyzing DCE‐MRI: A review

Medical physics (Lancaster), 2014-12, Vol.41 (12), p.124301-n/a

2014

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A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction

Scientific reports, 2019-04, Vol.9 (1), p.5948-5948, Article 5948

2019

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Critical and Honest Conversations: The Evidence Behind the “Choosing Wisely” Campaign Recommendations by the American Society of Nephrology

Clinical journal of the American Society of Nephrology, 2012-10, Vol.7 (10), p.1664-1672

2012

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Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

IEEE transactions on biomedical engineering, 2019-02, Vol.66 (2), p.539-552

2019

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Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review

Cancers, 2023-05, Vol.15 (10), p.2835

2023

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A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers

2020 IEEE International Conference on Image Processing (ICIP), 2020, Vol.2020, p.355-359

2020

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A level set-based framework for 3D kidney segmentation from diffusion MR images

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.4441-4445

2015

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3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.1177-1180

2016

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Association of Maturation Period Blood Pressure with Dialysis Access Patency

Seminars in dialysis, 2013-01, Vol.26 (1), p.90-96

2013

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A novel framework for automatic segmentation of kidney from DW-MRI

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.951-954

2015

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Dialysis Vascular Access Management by Interventional Nephrology Programs at University Medical Centers in the United States

Seminars in dialysis, 2011-09, Vol.24 (5), p.564-569

2011

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A random forest-based framework for 3D kidney segmentation from dynamic contrast-enhanced CT images

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.3399-3403

2016

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A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.136-140

2016

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A generalized MRI-based CAD system for functional assessment of renal transplant

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, p.758-761

2017

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A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.3898-3903

2018

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Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018, p.297-302

2018

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A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers

2018 IEEE International Conference on Imaging Systems and Techniques (IST), 2018, p.1-6

2018

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Early identification of acute rejection for renal allografts: a machine learning approach

State of the Art in Neural Networks and Their Applications, 2021

2021

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Accurate identification of renal transplant rejection: convolutional neural networks and diffusion MRI

State of the Art in Neural Networks and Their Applications, 2021

2021

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Early Classification of Renal Rejection Types: A Deep Learning Approach

Machine Learning in Medicine, 2021, p.257-280

1, 2021

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Chapter 10 - Early identification of acute rejection for renal allografts: a machine learning approach

State of the Art in Neural Networks and Their Applications, 2021, p.197-218

2021

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Chapter 5 - Accurate identification of renal transplant rejection: convolutional neural networks and diffusion MRI

State of the Art in Neural Networks and Their Applications, 2021, p.91-115

2021

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Towards Big Data in Acute Renal Rejection

Big Data in Multimodal Medical Imaging, 2020, p.205-223

1, 2020

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Temporal Trends in Incidence of Kidney Stones Among Children: A 25-Year Population Based Study

The Journal of urology, 2012-07, Vol.188 (1), p.247-252

2012

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The FLASHE Study: Survey Development, Dyadic Perspectives, and Participant Characteristics

American journal of preventive medicine, 2017-06, Vol.52 (6), p.839-848

2017

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Models and methods for analyzing DCE‐MRI: A review

A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction

Critical and Honest Conversations: The Evidence Behind the “Choosing Wisely” Campaign Recommendations by the American Society of Nephrology

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review

A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers

A level set-based framework for 3D kidney segmentation from diffusion MR images

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection

Association of Maturation Period Blood Pressure with Dialysis Access Patency

A novel framework for automatic segmentation of kidney from DW-MRI

Dialysis Vascular Access Management by Interventional Nephrology Programs at University Medical Centers in the United States

A random forest-based framework for 3D kidney segmentation from dynamic contrast-enhanced CT images

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI

A generalized MRI-based CAD system for functional assessment of renal transplant

A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection

Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol

A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers

Early identification of acute rejection for renal allografts: a machine learning approach

Accurate identification of renal transplant rejection: convolutional neural networks and diffusion MRI

Early Classification of Renal Rejection Types: A Deep Learning Approach

Chapter 10 - Early identification of acute rejection for renal allografts: a machine learning approach

Chapter 5 - Accurate identification of renal transplant rejection: convolutional neural networks and diffusion MRI

Towards Big Data in Acute Renal Rejection

Temporal Trends in Incidence of Kidney Stones Among Children: A 25-Year Population Based Study

The FLASHE Study: Survey Development, Dyadic Perspectives, and Participant Characteristics

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