Synapse - Maxine Jochelson

Results (14)

Development of an MRI radiomic machine-learning model to predict triple-negative breast cancer based on fibroglandular tissue of the contralateral unaffected breast in breast cancer patients

Journal Article

Lo Gullo, R.; Ochoa-Albiztegui, R. E.; Chakraborty, J.; Thakur, S. B.; Robson, M.; Jochelson, M. S.; Varela, K.; Resch, D.; Eskreis-Winkler, S.; Pinker, K.
Cancers (2024)

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Association of breast cancer odds with background parenchymal enhancement quantified using a fully automated method at MRI: The IMAGINE study

Journal Article

Watt, G. P.; Thakran, S.; Sung, J. S.; Jochelson, M. S.; Lobbes, M. B. I.; Weinstein, S. P.; Bradbury, A. R.; Buys, S. S.; Morris, E. A.; Apte, A.; more...
Radiology (2023)

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Breast lesion classification with multiparametric breast MRI using radiomics and machine learning: A comparison with radiologists’ performance

Journal Article

Naranjo, I. D.; Gibbs, P.; Reiner, J. S.; Lo Gullo, R.; Thakur, S. B.; Jochelson, M. S.; Thakur, N.; Baltzer, P. A. T.; Helbich, T. H.; Pinker, K.
Cancers (2022)

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Assessing PD-L1 expression status using radiomic features from contrast-enhanced breast MRI in breast cancer patients: Initial results

Journal Article

Lo Gullo, R.; Wen, H.; Reiner, J. S.; Hoda, R.; Sevilimedu, V.; Martinez, D. F.; Thakur, S. B.; Jochelson, M. S.; Gibbs, P.; Pinker, K.
Cancers (2021)

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Radiomics and machine learning with multiparametric breast MRI for improved diagnostic accuracy in breast cancer diagnosis

Journal Article

Daimiel Naranjo, I.; Gibbs, P.; Reiner, J. S.; Lo Gullo, R.; Sooknanan, C.; Thakur, S. B.; Jochelson, M. S.; Sevilimedu, V.; Morris, E. A.; Baltzer, P. A. T.; more...
Diagnostics (2021)

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Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: Comparison with dynamic contrast-enhanced and multiparametric MRI

Journal Article

Daimiel Naranjo, I.; Lo Gullo, R.; Saccarelli, C.; Thakur, S. B.; Bitencourt, A.; Morris, E. A.; Jochelson, M. S.; Sevilimedu, V.; Martinez, D. F.; Pinker-Domenig, K.
European Radiology (2021)

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Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

Journal Article

Lo Gullo, R.; Daimiel, I.; Rossi Saccarelli, C.; Bitencourt, A.; Gibbs, P.; Fox, M. J.; Thakur, S. B.; Martinez, D. F.; Jochelson, M. S.; Morris, E. A.; more...
European Radiology (2020)

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MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

Journal Article

Bitencourt, A. G. V.; Gibbs, P.; Rossi Saccarelli, C.; Daimiel, I.; Lo Gullo, R.; Fox, M. J.; Thakur, S.; Pinker, K.; Morris, E. A.; Morrow, M.; more...
EBioMedicine (2020)

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Non-invasive assessment of breast cancer molecular subtypes with multiparametric magnetic resonance imaging radiomics

Journal Article

Leithner, D.; Mayerhoefer, M. E.; Martinez, D. F.; Jochelson, M. S.; Morris, E. A.; Thakur, S. B.; Pinker, K.
Journal of Clinical Medicine (2020)

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Radiomic signatures derived from diffusion-weighted imaging for the assessment of breast cancer receptor status and molecular subtypes

Journal Article

Leithner, D.; Bernard-Davila, B.; Martinez, D. F.; Horvat, J. V.; Jochelson, M. S.; Marino, M. A.; Avendano, D.; Ochoa-Albiztegui, R. E.; Sutton, E. J.; Morris, E. A.; more...
Molecular Imaging and Biology (2020)

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