Michael Jacobs


If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Michael Jacobs is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Magnetic Resonance Imaging Medicine & Life Sciences
Breast Medicine & Life Sciences
Magnetic Resonance Spectroscopy Medicine & Life Sciences
Diffusion Magnetic Resonance Imaging Medicine & Life Sciences
Choline Medicine & Life Sciences
Protons Medicine & Life Sciences
Breast Neoplasms Medicine & Life Sciences
Stroke Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1995 2019

  • 98 Article
  • 5 Conference contribution
  • 3 Chapter
  • 3 Review article

Deep learning and radiomics in precision medicine

Parekh, V. S. & Jacobs, M., Mar 4 2019, In : Expert Review of Precision Medicine and Drug Development. 4, 2, p. 59-72 14 p.

Research output: Contribution to journalReview article

Open Access
Precision Medicine
Artificial Intelligence
Clinical Decision Support Systems

Measurement Repeatability of 18F-FDG PET/CT Versus 18F-FDG PET/MRI in Solid Tumors of the Pelvis

Fraum, T. J., Fowler, K. J., Crandall, J. P., Laforest, R. A., Salter, A., An, H., Jacobs, M., Grigsby, P. W., Dehdashti, F. & Wahl, R. L., Aug 1 2019, In : Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 60, 8, p. 1080-1086 7 p.

Research output: Contribution to journalArticle

Open Access
Fluorodeoxyglucose F18
Pelvic Neoplasms
Cohort Studies

Radiomic synthesis using deep convolutional neural networks

Parekh, V. S. & Jacobs, M. A., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1114-1117 4 p. 8759491. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Clinical Decision Support Systems
Neural Networks (Computer)
Magnetic resonance imaging

Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics

Peng, L., Parekh, V., Huang, P., Lin, D., Sheikh, K., Baker, B., Kirschbaum, T., Silvestri, F., Son, J., Robinson, A., Huang, E., Ames, H., Grimm, J., Chen, L., Shen, C., Soike, M., McTyre, E., Redmond, K. A., Lim, M., Lee, J. & 2 others, Jacobs, M. & Kleinberg, L. R., Nov 15 2018, In : International Journal of Radiation Oncology Biology Physics. 102, 4, p. 1236-1243 8 p.

Research output: Contribution to journalArticle

machine learning
Diffusion Magnetic Resonance Imaging
Magnetic Resonance Imaging
Neoplasm Metastasis