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Abstract P3-14-07: Breast cancer screening disparities among insured women in the Washington DC-Baltimore area

Cancer research (Chicago, Ill.), 2022-02, Vol.82 (4_Supplement), p.P3-P3-14-07

2022

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Disruptions in cancer screening and diagnoses during the COVID-19 pandemic in 2020

Journal of clinical oncology, 2021-10, Vol.39 (28_suppl), p.315-315

2021

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Abstract P3-04-02: Real world evidence demonstrates replacement of 2D mammography with 3D mammography among insured women

Cancer research (Chicago, Ill.), 2022-02, Vol.82 (4_Supplement), p.P3-P3-04-02

2022

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Cost of breast cancer screening in the USA: Comparison of current practice, advocated guidelines, and a personalized risk-based approach

JOURNAL OF CLINICAL ONCOLOGY, 2023, Vol.41 (16_suppl), p.e18917-e18917

2023

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Abstract P5-04-08: Breast cancer screening using ultrasound increases recall, biopsy, and cancer detection rates

Cancer research (Chicago, Ill.), 2023-03, Vol.83 (5_Supplement), p.P5-P5-04-08

2023

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Learning and Optimization in the Face of Data Perturbations

Staib, Matthew James

2020

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Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

Medical image analysis, 2020-10, Vol.65, p.101765-101765, Article 101765

2020

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BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Medical image analysis, 2021-12, Vol.74, p.102233-102233, Article 102233

2021

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SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

IEEE transactions on medical imaging, 2022-09, Vol.41 (9), p.2228-2237

2022

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Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019-10, p.255-263

2019

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Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022-09, p.639-652

2022

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Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography

IEEE transactions on medical imaging, 2024-05, Vol.43 (5), p.2010-2020

2024

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2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, Vol.2018, p.1252-1255

2018

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Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging

IEEE transactions on biomedical engineering, 2024-11, Vol.71 (11), p.3312-3323

2024

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Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation

IEEE transactions on medical imaging, 2021-09, Vol.40 (9), p.2233-2245

2021

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MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress Disorder

The American journal of psychiatry, 2003-05, Vol.160 (5), p.924-932

2003

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Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation

Annual review of biomedical engineering, 2020-06, Vol.22 (1), p.127-153

2020

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Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation

IEEE transactions on medical imaging, 2012-08, Vol.31 (8), p.1607-1619

2012

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Mine Your Own Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels

IEEE transactions on pattern analysis and machine intelligence, 2024-09, Vol.PP, p.1-16

2024

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Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system

BMC health services research, 2024-03, Vol.24 (1), p.274-36, Article 274

2024

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Neighbor-constrained segmentation with level set based 3-D deformable models

IEEE transactions on medical imaging, 2004-08, Vol.23 (8), p.940-948

2004

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Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

Medical image analysis, 2014-02, Vol.18 (2), p.253-271

2014

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Graph Neural Network for Interpreting Task-fMRI Biomarkers

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019, p.485-493

2019

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Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022-09, p.3-16

2022

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Abstract P3-14-07: Breast cancer screening disparities among insured women in the Washington DC-Baltimore area

Disruptions in cancer screening and diagnoses during the COVID-19 pandemic in 2020

Abstract P3-04-02: Real world evidence demonstrates replacement of 2D mammography with 3D mammography among insured women

Cost of breast cancer screening in the USA: Comparison of current practice, advocated guidelines, and a personalized risk-based approach

Abstract P5-04-08: Breast cancer screening using ultrasound increases recall, biopsy, and cancer detection rates

Learning and Optimization in the Face of Data Perturbations

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography

2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging

A Multiclass Radiomics Method-Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation

MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress Disorder

Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation

Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation

Mine Your Own Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels

Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system

Neighbor-constrained segmentation with level set based 3-D deformable models

Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

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