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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.
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- Journal of Cancer Research & Clinical Oncology, 2018, v. 144, n. 5, p. 799, doi. 10.1007/s00432-018-2595-7
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- Article
How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study.
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- European Radiology, 2019, v. 29, n. 4, p. 2069, doi. 10.1007/s00330-018-5736-0
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- Publication type:
- Article
How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study.
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- 2018
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- Publication type:
- journal article
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors.
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- Medical Physics, 2018, v. 45, n. 7, p. 3076, doi. 10.1002/mp.12925
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- Publication type:
- Article
Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing.
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- Medical Physics, 2018, v. 45, n. 3, p. 1150, doi. 10.1002/mp.12752
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- Article
Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.
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- Medical Physics, 2016, v. 43, n. 8, p. 4558, doi. 10.1118/1.4955435
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- Publication type:
- Article
Using computer-extracted image features for modeling of error-making patterns in detection of mammographie masses among radiology residents.
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- Medical Physics, 2014, v. 41, n. 9, p. 1, doi. 10.1118/1.4892173
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- Article
A fully automatic extraction of magnetic resonance image features in glioblastoma patients.
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- Medical Physics, 2014, v. 41, n. 4, p. 1, doi. 10.1118/1.4866218
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- Publication type:
- Article
Predicting error in detecting mammographic masses among radiology trainees using statistical models based on BI-RADS features.
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- Medical Physics, 2014, v. 41, n. 3, p. 1, doi. 10.1118/1.4866379
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- Publication type:
- Article
Exploring the potential of context-sensitive CADe in screening mammography.
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- Medical Physics, 2010, v. 37, n. 11, p. 5728, doi. 10.1118/1.3501882
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- Article
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.
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- Breast Cancer Research & Treatment, 2019, v. 173, n. 2, p. 455, doi. 10.1007/s10549-018-4990-9
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- Article
Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival.
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- Breast Cancer Research & Treatment, 2018, v. 172, n. 1, p. 123, doi. 10.1007/s10549-018-4879-7
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- Publication type:
- Article
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach.
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- Journal of Digital Imaging, 2023, v. 36, n. 6, p. 2402, doi. 10.1007/s10278-023-00894-x
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- Article
Deep Learning for Breast MRI Style Transfer with Limited Training Data.
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- Journal of Digital Imaging, 2023, v. 36, n. 2, p. 666, doi. 10.1007/s10278-022-00755-z
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- Publication type:
- Article
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
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- BMC Medical Informatics & Decision Making, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12911-022-01843-4
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- Publication type:
- Article
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
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- 2022
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- Publication type:
- journal article
Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.
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- 2019
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- Publication type:
- journal article
Association of distant recurrence‐free survival with algorithmically extracted MRI characteristics in breast cancer.
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- Journal of Magnetic Resonance Imaging, 2019, v. 49, n. 7, p. e231, doi. 10.1002/jmri.26648
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- Publication type:
- Article
Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.
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- 2019
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- Publication type:
- journal article
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
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- 2019
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- Publication type:
- journal article
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
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- 2017
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- Publication type:
- journal article
Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms.
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- 2015
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- Publication type:
- journal article
The Need for Targeted Labeling of Machine Learning–Based Software as a Medical Device.
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- 2022
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- Publication type:
- Opinion
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.
- Published in:
- Breast Cancer Research & Treatment, 2017, v. 162, n. 1, p. 1, doi. 10.1007/s10549-016-4093-4
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- Publication type:
- Article
Imaging descriptors improve the predictive power of survival models for glioblastoma patients.
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- Neuro-Oncology, 2013, v. 15, n. 10, p. 1389, doi. 10.1093/neuonc/nos335
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- Publication type:
- Article
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features.
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- 2018
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- Publication type:
- journal article
Individualized computer-aided education in mammography based on user modeling: Concept and preliminary experiments.
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- Medical Physics, 2010, v. 37, n. 3, p. 1152, doi. 10.1118/1.3301575
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- Publication type:
- Article
An adaptive incremental approach to constructing ensemble classifiers: Application in an information-theoretic computer-aided decision system for detection of masses in mammograms.
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- Medical Physics, 2009, v. 36, n. 7, p. 2976, doi. 10.1118/1.3132304
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- Publication type:
- Article
Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier.
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- Abdominal Radiology, 2024, v. 49, n. 10, p. 3735, doi. 10.1007/s00261-024-04379-5
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- Article
Splenic contraction: a new member of the hypovolemic shock complex.
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- Abdominal Radiology, 2018, v. 43, n. 9, p. 2375, doi. 10.1007/s00261-018-1478-3
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- Publication type:
- Article
Structured reporting of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians.
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- Abdominal Radiology, 2017, v. 42, n. 9, p. 2243, doi. 10.1007/s00261-017-1136-1
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- Publication type:
- Article
A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-89626-1
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- Article
A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.
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- JAMA Network Open, 2021, v. 4, n. 8, p. e2119100, doi. 10.1001/jamanetworkopen.2021.19100
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- Publication type:
- Article
Relationships Between MRI Breast Imaging-Reporting and Data System (BI-RADS) Lexicon Descriptors and Breast Cancer Molecular Subtypes: Internal Enhancement is Associated with Luminal B Subtype.
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- Breast Journal, 2017, v. 23, n. 5, p. 579, doi. 10.1111/tbj.12799
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- Publication type:
- Article
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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- Journal of Neuro-Oncology, 2017, v. 133, n. 1, p. 27, doi. 10.1007/s11060-017-2420-1
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- Publication type:
- Article
Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study.
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- Journal of Neuro-Oncology, 2017, v. 132, n. 1, p. 55, doi. 10.1007/s11060-016-2359-7
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- Publication type:
- Article
Computer-extracted MR imaging features are associated with survival in glioblastoma patients.
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- Journal of Neuro-Oncology, 2014, v. 120, n. 3, p. 483, doi. 10.1007/s11060-014-1580-5
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- Publication type:
- Article
A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-54048-2
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- Publication type:
- Article