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A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

Scientific reports, 2018-05, Vol.8 (1), p.7193-13, Article 7193

2018

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Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions

Radiology, 2016-03, Vol.278 (3), p.679

2016

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Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review

Canadian Association of Radiologists journal, 2019-11, Vol.70 (4), p.344-353

2019

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Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery

Neuro-oncology (Charlottesville, Va.), 2020-06, Vol.22 (6), p.797-805

2020

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Using quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD)

PloS one, 2017-11, Vol.12 (11), p.e0187501-e0187501

2017

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Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

Scientific reports, 2022-03, Vol.12 (1), p.4399-4399, Article 4399

2022

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An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U‐nets

Medical physics (Lancaster), 2019-03, Vol.46 (3), p.1230-1244

2019

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Deep neural network models for computational histopathology: A survey

Medical image analysis, 2021-01, Vol.67, p.101813-101813, Article 101813

2021

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Overcoming the limitations of patch-based learning to detect cancer in whole slide images

Scientific reports, 2021-04, Vol.11 (1), p.8894-8894, Article 8894

2021

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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI

NeuroImage (Orlando, Fla.), 2023-09, Vol.278, p.120289-120289, Article 120289

2023

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Loss odyssey in medical image segmentation

Medical image analysis, 2021-07, Vol.71, p.102035-102035, Article 102035

2021

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BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports

Journal of imaging, 2022-05, Vol.8 (5), p.131

2022

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Removing non-nuclei information from histopathological images: A preprocessing step towards improving nuclei segmentation methods

Journal of pathology informatics, 2023-01, Vol.14, p.100315-100315, Article 100315

2023

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A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents

Frontiers in oncology, 2023-02, Vol.13, p.898854-898854

2023

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Learning to segment images with classification labels

Medical image analysis, 2021-02, Vol.68, p.101912-101912, Article 101912

2021

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Self-supervised driven consistency training for annotation efficient histopathology image analysis

Medical image analysis, 2022-01, Vol.75, p.102256-102256, Article 102256

2022

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A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions

Medical image analysis, 2019-01, Vol.51, p.116-124

2019

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Water Exchange Rate Constant as a Biomarker of Treatment Efficacy in Patients With Brain Metastases Undergoing Stereotactic Radiosurgery

International journal of radiation oncology, biology, physics, 2017-05, Vol.98 (1), p.47-55

2017

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MRI surveillance for women with dense breasts and a previous breast cancer and/or high risk lesion

Breast (Edinburgh), 2017-08, Vol.34, p.77-82

2017

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Diagnosis of lower-limb deep venous thrombosis: a prospective blinded study of magnetic resonance direct thrombus imaging

Annals of internal medicine, 2002-01, Vol.136 (2), p.89

2002

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Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach

IEEE transactions on medical imaging, 2016-01, Vol.35 (1), p.307-315

2016

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Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case-Control Study

Tomography (Ann Arbor), 2022-02, Vol.8 (1), p.329-340

2022

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A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations

Academic radiology, 2011-12, Vol.18 (12), p.1577-1581

2011

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Automatic cellularity assessment from post‐treated breast surgical specimens

Cytometry. Part A, 2017-11, Vol.91 (11), p.1078-1087

2017

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Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols

IEEE transactions on biomedical engineering, 2021-03, Vol.68 (3), p.759-770

2021

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A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions

Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review

Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery

Using quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD)

Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U‐nets

Deep neural network models for computational histopathology: A survey

Overcoming the limitations of patch-based learning to detect cancer in whole slide images

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI

Loss odyssey in medical image segmentation

BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports

Removing non-nuclei information from histopathological images: A preprocessing step towards improving nuclei segmentation methods

A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents

Learning to segment images with classification labels

Self-supervised driven consistency training for annotation efficient histopathology image analysis

A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions

Water Exchange Rate Constant as a Biomarker of Treatment Efficacy in Patients With Brain Metastases Undergoing Stereotactic Radiosurgery

MRI surveillance for women with dense breasts and a previous breast cancer and/or high risk lesion

Diagnosis of lower-limb deep venous thrombosis: a prospective blinded study of magnetic resonance direct thrombus imaging

Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach

Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case-Control Study

A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations

Automatic cellularity assessment from post‐treated breast surgical specimens

Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols

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