Works by Reiner, Jeffrey S.

Results: 10

Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance.

Published in:

Cancers, 2022, v. 14, n. 7, p. 1743, doi. 10.3390/cancers14071743

By:

Daimiel Naranjo, Isaac;
Gibbs, Peter;
Reiner, Jeffrey S.;
Lo Gullo, Roberto;
Thakur, Sunitha B.;
Jochelson, Maxine S.;
Thakur, Nikita;
Baltzer, Pascal A. T.;
Helbich, Thomas H.;
Pinker, Katja

Publication type:

Article

Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results.

Published in:

Cancers, 2021, v. 13, n. 24, p. 6273, doi. 10.3390/cancers13246273

By:

Lo Gullo, Roberto;
Wen, Hannah;
Reiner, Jeffrey S.;
Hoda, Raza;
Sevilimedu, Varadan;
Martinez, Danny F.;
Thakur, Sunitha B.;
Jochelson, Maxine S.;
Gibbs, Peter;
Pinker, Katja

Publication type:

Article

Multidimensional Diffusion Magnetic Resonance Imaging for Characterization of Tissue Microstructure in Breast Cancer Patients: A Prospective Pilot Study.

Published in:

Cancers, 2021, v. 13, n. 7, p. 1606, doi. 10.3390/cancers13071606

By:

Naranjo, Isaac Daimiel;
Reymbaut, Alexis;
Brynolfsson, Patrik;
Lo Gullo, Roberto;
Bryskhe, Karin;
Topgaard, Daniel;
Giri, Dilip D.;
Reiner, Jeffrey S.;
Thakur, Sunitha B.;
Pinker-Domenig, Katja;
Yoshiura, Takashi

Publication type:

Article

Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization.

Published in:

Cancers, 2020, v. 12, n. 12, p. 3763, doi. 10.3390/cancers12123763

By:

Ochoa-Albiztegui, R. Elena;
Sevilimedu, Varadan;
Horvat, Joao V.;
Thakur, Sunitha B.;
Helbich, Thomas H.;
Trattnig, Siegfried;
Morris, Elizabeth A.;
Reiner, Jeffrey S.;
Pinker, Katja

Publication type:

Article

Using Deep Learning to Improve Nonsystematic Viewing of Breast Cancer on MRI.

Published in:

Journal of Breast Imaging, 2021, v. 3, n. 2, p. 201, doi. 10.1093/jbi/wbaa102

By:

Eskreis-Winkler, Sarah;
Natsuko Onishi;
Pinker, Katja;
Reiner, Jeffrey S.;
Kaplan, Jennifer;
Morris, Elizabeth A.;
Sutton, Elizabeth J.

Publication type:

Article

MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatment: associations with survival.

Published in:

2020

By:

Lo Gullo, Roberto;
Daimiel, Isaac;
Rossi Saccarelli, Carolina;
Bitencourt, Almir;
Sevilimedu, Varadan;
Martinez, Danny F.;
Jochelson, Maxine S.;
Morris, Elizabeth A.;
Reiner, Jeffrey S.;
Pinker, Katja

Publication type:

journal article

Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.

Published in:

Diagnostics (2075-4418), 2021, v. 11, n. 6, p. 919, doi. 10.3390/diagnostics11060919

By:

Daimiel Naranjo, Isaac;
Gibbs, Peter;
Reiner, Jeffrey S.;
Lo Gullo, Roberto;
Sooknanan, Caleb;
Thakur, Sunitha B.;
Jochelson, Maxine S.;
Sevilimedu, Varadan;
Morris, Elizabeth A.;
Baltzer, Pascal A. T.;
Helbich, Thomas H.;
Pinker, Katja

Publication type:

Article

Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.

Published in:

Frontiers in Oncology, 2022, v. 12, p. 1, doi. 10.3389/fonc.2022.795265

By:

Fardanesh, Reza;
Thakur, Sunitha B.;
Sevilimedu, Varadan;
Horvat, Joao V.;
Gullo, Roberto Lo;
Reiner, Jeffrey S.;
Eskreis-Winkler, Sarah;
Thakur, Nikita;
Pinker, Katja

Publication type:

Article

Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade.

Published in:

Breast Cancer Research & Treatment, 2021, v. 187, n. 2, p. 535, doi. 10.1007/s10549-020-06074-7

By:

Lo Gullo, Roberto;
Vincenti, Kerri;
Rossi Saccarelli, Carolina;
Gibbs, Peter;
Fox, Michael J.;
Daimiel, Isaac;
Martinez, Danny F.;
Jochelson, Maxine S.;
Morris, Elizabeth A.;
Reiner, Jeffrey S.;
Pinker, Katja

Publication type:

Article

Utilization of artificial intelligence to triage patients with delayed follow-up of probably benign breast ultrasound findings.

Published in:

Ultrasonography, 2025, v. 44, n. 2, p. 145, doi. 10.14366/usg.24206

By:

Amir, Tali;
Coffey, Kristen;
Reiner, Jeffrey S;
Sevilimedu, Varadan;
Mango, Victoria L

Publication type:

Article