Michael A Jacobs

Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Venues

Cancers

Radiology

Diagnostics (Basel, Switzerland)

Breast cancer research and treatment

Johns Hopkins School of Medicine

Oakland University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Johns Hopkins School of Medicine Jan 01 2000

United States

Diagnostic Medical Physics and Clincial Research :: The Russell H. Morgan Department of Radiology and Radiological Science

Education History

Oakland University Sep 01 1993 - Dec 01 1999

United States

PHD :: Physics

Publications

Kamand Khalaj, Michael A Jacobs, Jay-Jiguang Zhu, Yoshua Esquenazi, Sigmund Hsu, Nitin Tandon, Alireza Akhbardeh, Xu Zhang, Roy Riascos, Arash Kamali
The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma. Cancers 16 (13) (2024)
Varaha S Tammisetti, Michael A Jacobs
Evidence-based Diagnostic Performance Benchmarks in Prostate MRI: An Unmet Clinical Need. Radiology 312 (2) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning. Diagnostics (Basel, Switzerland) 14 (6) (2024)
Kamand Khalaj, Michael A Jacobs, Jay-Jiguang Zhu, Yoshua Esquenazi, Sigmund Hsu, Nitin Tandon, Alireza Akhbardeh, Xu Zhang, Roy Riascos, Arash Kamali
The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma. Cancers 16 (13) (2024)
Yilin Cao, Vishwa S Parekh, Emerson Lee, Xuguang Chen, Kristin J Redmond, Jay J Pillai, Luke Peng, Michael A Jacobs, Lawrence R Kleinberg
A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases. Cancers 15 (16) (2023)
Peng Huang, Peter B Illei, Wilbur Franklin, Pei-Hsun Wu, Patrick M Forde, Saeed Ashrafinia, Chen Hu, Hamza Khan, Harshna V Vadvala, Ie-Ming Shih, Richard J Battafarano, Michael A Jacobs, Xiangrong Kong, Justine Lewis, Rongkai Yan, Yun Chen, Franck Housseau, Arman Rahmim, Elliot K Fishman, David S Ettinger, Kenneth J Pienta, Denis Wirtz, Malcolm V Brock, Stephen Lam, Edward Gabrielson
Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation. Cancers 14 (17) (2022)
Chaya S Moskowitz, Mattea L Welch, Michael A Jacobs, Brenda F Kurland, Amber L Simpson
Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies. Radiology 304 (2) (2022)
Michael A Jacobs
Data Partitioning and Statistical Considerations for Association of Radiomic Features to Biological Underpinnings: What Is Needed. Radiology (2022)
Vishwa S Parekh, Jay J Pillai, Katarzyna J Macura, Peter S LaViolette, Michael A Jacobs
Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning. Cancers 14 (6) (2022)
Riham H El Khouli, Michael A Jacobs
Use of MRI for Personalized Treatment of More Aggressive Tumors. Radiology 295 (3) (2020)
Vishwa S Parekh, Michael A Jacobs
Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging. Breast cancer research and treatment 180 (2) (2020)

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Publication Activity (10 Years)

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Michael A Jacobs