Michael A Jacobs
11PUBLICATIONS
19CO-AUTHORS
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Publications (11)
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|Jul 13, 2024
The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma.Kamand Khalaj, Michael A Jacobs, Jay-Jiguang Zhu
|Mar 27, 2024
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning.Jason Uwaeze, Ponnada A Narayana, Arash Kamali
|Aug 26, 2023
A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases.Yilin Cao, Vishwa S Parekh, Emerson Lee
|Sep 09, 2022
Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation.Peng Huang, Peter B Illei, Wilbur Franklin
|May 17, 2022
Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.Chaya S Moskowitz, Mattea L Welch, Michael A Jacobs
|Mar 25, 2022
Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning.Vishwa S Parekh, Jay J Pillai, Katarzyna J Macura
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Frequent Collaborators
2 joint publications
Jay J Pillai
2 joint publications
Alireza Akhbardeh
1 joint publications
Riham H El Khouli
1 joint publications
Vishwa S Parekh
1 joint publications
Peter S LaViolette
1 joint publications
Chaya S Moskowitz
1 joint publications
Mattea L Welch
1 joint publications
Brenda F Kurland
1 joint publications
Amber L Simpson
1 joint publications
Peng Huang
