Michael Harowicz
Michael Harowicz
Diagnostic Radiology Resident, Johns Hopkins Hospital
Verified email at jhmi.edu
Title
Cited by
Cited by
Year
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models
A Saha, MR Harowicz, W Wang, MA Mazurowski
Journal of cancer research and clinical oncology 144 (5), 799-807, 2018
182018
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset
MR Harowicz, TJ Robinson, MA Dinan, A Saha, JR Marks, PK Marcom, ...
Breast cancer research and treatment 162 (1), 1-10, 2017
182017
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
EH Cain, A Saha, MR Harowicz, JR Marks, PK Marcom, MA Mazurowski
Breast cancer research and treatment 173 (2), 455-463, 2019
162019
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors
A Saha, MR Harowicz, MA Mazurowski
Medical physics 45 (7), 3076-3085, 2018
142018
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
MR Harowicz, A Saha, LJ Grimm, PK Marcom, JR Marks, ES Hwang, ...
Journal of magnetic resonance imaging 46 (5), 1332-1340, 2017
132017
Deep learning for identifying radiogenomic associations in breast cancer
Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski
Computers in biology and medicine 109, 85-90, 2019
122019
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
A Saha, MR Harowicz, LJ Grimm, CE Kim, SV Ghate, R Walsh, ...
British journal of cancer 119 (4), 508-516, 2018
122018
Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics
A Saha, LJ Grimm, M Harowicz, SV Ghate, C Kim, R Walsh, ...
Medical physics 43 (8Part1), 4558-4564, 2016
102016
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Z Zhu, M Harowicz, J Zhang, A Saha, LJ Grimm, ES Hwang, ...
Computers in biology and medicine 115, 103498, 2019
32019
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data
Z Zhu, M Harowicz, J Zhang, A Saha, LJ Grimm, S Hwang, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752W, 2018
32018
Breast cancer molecular subtype classification using deep features: preliminary results
Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752X, 2018
32018
Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival
A Saha, MR Harowicz, EH Cain, AH Hall, ESS Hwang, JR Marks, ...
Breast cancer research and treatment 172 (1), 123-132, 2018
22018
Predictive parameters for the antecedent development of hip pathology associated with long segment fusions to the pelvis for the treatment of adult spinal deformity
MD Kinon, R Nasser, JP Nakhla, O Adogwa, JR Moreno, M Harowicz, ...
Surgical neurology international 7, 2016
12016
Association of distant recurrence‐free survival with algorithmically extracted MRI characteristics in breast cancer
MA Mazurowski, A Saha, MR Harowicz, EH Cain, JR Marks, PK Marcom
Journal of Magnetic Resonance Imaging 49 (7), e231-e240, 2019
2019
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation
A Saha, MR Harowicz, LJ Grimm, CE Kim, SV Ghate, R Walsh, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 1057507, 2018
2018
Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?
MR Harowicz, JR Marks, PK Marcom, MA Mazurowski
Medical Imaging 2017: Image Perception, Observer Performance, and Technology …, 2017
2017
Vorhersage eines DCIS-Upgrades in der prä-operativen Mamma-MRT mittels Radiomics
MR Harowicz
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Articles 1–17