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Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing

Medical physics (Lancaster), 2018-03, Vol.45 (3), p.1150-1158

2018

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Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set

Breast cancer research and treatment, 2019-01, Vol.173 (2), p.455-463

2019

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Effects of MRI scanner parameters on breast cancer radiomics

Expert systems with applications, 2017-11, Vol.87, p.384-391

2017

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A scoping review of natural language processing of radiology reports in breast cancer

Frontiers in oncology, 2023-04, Vol.13, p.1160167-1160167

2023

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Generative AI for brain image computing and brain network computing: a review

Frontiers in neuroscience, 2023-06, Vol.17, p.1203104-1203104

2023

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Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions

Pituitary, 2020-06, Vol.23 (3), p.273-293

2020

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Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ

Computers in biology and medicine, 2019-12, Vol.115, p.103498-103498, Article 103498

2019

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A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

JAMA network open, 2021-08, Vol.4 (8), p.e2119100-e2119100

2021

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The Traumatic Brain Injury Model Systems National Database: A Review of Published Research

Neurotrauma reports, 2021-03, Vol.2 (1), p.149-164

2021

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Gene Expression Signatures Identify Biologically Homogenous Subgroups of Grade 2 Meningiomas

Frontiers in oncology, 2020-11, Vol.10, p.541928-541928

2020

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Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities

Journal of pathology informatics, 2024-12, Vol.15, p.100347-100347, Article 100347

2024

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Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review

Journal of pathology informatics, 2024-12, Vol.15, p.100348-100348, Article 100348

2024

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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Computers in biology and medicine, 2019-06, Vol.109, p.218-225

2019

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Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Journal of magnetic resonance imaging, 2019-04, Vol.49 (4), p.939-954

2019

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Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.435-447

2019

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Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons

Neurotrauma reports, 2021-03, Vol.2 (1), p.136-148

2021

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Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment

IEEE transactions on image processing, 2015-06, Vol.24 (6), p.1879-1892

2015

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Measurement of Adverse Cosmesis in Breast Cancer: A Deep Learning Approach

Expert systems with applications, 2024-03, Vol.238, p.122209, Article 122209

2024

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Deep learning for identifying radiogenomic associations in breast cancer

Computers in biology and medicine, 2019-06, Vol.109, p.85-90

2019

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Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors

Medical physics (Lancaster), 2018-07, Vol.45 (7), p.3076-3085

2018

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A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

British journal of cancer, 2018-08, Vol.119 (4), p.508-516

2018

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Editorial for "Intra- and Peri-tumoral Radiomics Based on Dynamic Contrast Enhanced-MRI to Identify Lymph Node Metastasis and Prognosis in Intrahepatic Cholangiocarcinoma"

Journal of magnetic resonance imaging, 2024-04

2024

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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models

Journal of cancer research and clinical oncology, 2018-05, Vol.144 (5), p.799-807

2018

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Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data

Journal of neuro-oncology, 2017-05, Vol.133 (1), p.27-35

2017

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Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing

Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set

Effects of MRI scanner parameters on breast cancer radiomics

A scoping review of natural language processing of radiology reports in breast cancer

Generative AI for brain image computing and brain network computing: a review

Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ

A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

The Traumatic Brain Injury Model Systems National Database: A Review of Published Research

Gene Expression Signatures Identify Biologically Homogenous Subgroups of Grade 2 Meningiomas

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities

Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review

Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics

Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons

Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment

Measurement of Adverse Cosmesis in Breast Cancer: A Deep Learning Approach

Deep learning for identifying radiogenomic associations in breast cancer

Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

Editorial for "Intra- and Peri-tumoral Radiomics Based on Dynamic Contrast Enhanced-MRI to Identify Lymph Node Metastasis and Prognosis in Intrahepatic Cholangiocarcinoma"

A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models

Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data

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