Associate of Science
Engineering, San Antonio College, San Antonio, Texas; High Honors 1980-1986
Associate of Science
Allied Emergency Nursing, Community College of the Air Force, Maxwell Air Force Base, Alabama 1986-1992
Bachelor of Science (Dual)
Mathematics; High Honors 1990-1993
Bachelor of Science (Dual)
Engineering Science (Mechanical Engineering); High Honors University of Michigan-Flint, Flint, Michigan 1990-1993
Ph.D. in Biomedical Physics
Joint Oakland University/Henry Ford Hospital, Rochester, Michigan 1994-1999
Postdoctoral Fellow
Johns Hopkins University, Radiology 2000-2002
Diagnostic Medical Physics
American Board of Radiology #P4009 2010-2014

Areas of Interest

Clinical Interests

My current clinical interests include developing radiological methods for the detection, monitoring, and treatment of many diseases. I have been trained in diagnostic medical physics, advanced mathematics, and engineering. One top priority for me is ensuring that our radiation-producing devices and other imaging platforms are optimized to give the best quality images for diagnosis.

Research Interests

Research Focus
I am trained in diagnostic medical physics, advanced mathematics, and engineering and have a long-standing interest in developing translational imaging metrics for quantitative radiological imaging for improved detection and characterization of different pathologies for diagnosis. My current research interests include developing these methods for the detection, characterization and monitoring of treatment response of many different diseases. I am a member of the National Board of the American College of Radiology Imaging Network (ACRIN) Radiomics committee, and Director of the Imaging Radiological Assessment and Biopsy Team (IRAT-BMS) of the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins. I am co-PI on the Quantitative Imaging Network (QIN) U01 at JHU and Past Chair of the DCE/DWI subcommittee of the NCI’s QIN initiative. Some of my recent work has been in Whole-Body MRI (WB-MRI) to aid in diagnosing and detecting global disease burden. In addition, my research efforts been focused on computational and algorithmic methods for application to radiology for precision medicine by creating new advanced machine and deep learning methods, informatics, and radiomics to integrate clinical, radiological, and other data for personalized medicine.

Inventions, Patents, Copyrights Awarded
US Patents = 8

  • Nov 10, 2006 US patent 8,380,286; Inventors: Osman NF, Jacobs MA, Axel K, and Fahmy A. Compression device for enhancing normal/abnormal tissue contrast in MRI including devices and methods related thereto Date Awarded: February 19, 2013
  • May 1, 2010 US patent 8,380,281; Inventors: Osman N, Jacobs MA, Hourani A, and Hussain J. Compression device for enhancing normal/abnormal tissue contrast in MRI including devices and methods related thereto. Date Awarded: February 19, 2013`
  • Feb 17, 2012 US Patent 9,008,462; Inventors: Akhbardeh A, Jacobs MA. Methods and systems for registration of radiological images. April 14, 2015
  • Feb 09, 2016 US Patent 9,256,966; Inventors: Jacobs MA, Akhbardeh A. Multiparametric Non-linear dimension reduction methods for segmentation and classification of radiological images. Date Awarded: Feb 09, 2016 Cited-1.
  • May 12, 2016 US Patent 20,160,132,754, 2016: Inventors: Akhbardeh A., Jacobs MA. An integrated real-time tracking system for normal and anomaly tracking and the methods therefore Date Awarded: May 12, 2016.
  • June 23, 2016 Scattergram, filed on July 31, 2014, Date Awarded: June 23, 2016.
  • April 27, 2017 US Patent 20,170,112,459, 2017: Inventors Jacobs MA, Parekh V. (IRIS):Informatics Radiomics Integration System: A novel informatics radiomics method for the integration of many types of data for classification into different groups. filed on Oct 26, 2016, Date Awarded: April 27, 2017
  • July 5, 2018 US Patent 20,180,189,384, 2018: Inventors: Jacobs MA, Braverman V, Ivkin V. Choi, S Method and system for a natural language processing using data streaming. Date Awarded: July 5, 2018
  • Aug 20, 2019 US Patent 10,388,017 B2, 2019 Jacobs MA, Akhbardeh, A. Advanced Treatment Response Prediction Using Clinical Parameters and Advanced Unsupervised Machine Learning: The Contribution Scattergram, filed on July 31, 2014, 2016 – Application 20,160,171,695, 2016:
  • May 10, 2021 US Patent Application No. 63/178,705. Inventors: Parekh V., Jacobs MA, COVID.AI: Intelligent COVID Radiological Assessment and Diagnostic System and Methods :IC-RADS.

(WIPO) World Intellectual Property Organization for Trade Patents = 3

  • May 28, 2013 WO2013177586: Inventors: Akhbardeh A., Jacobs MA. An integrated real-time tracking system for normal and anomaly tracking and the methods therefore Date Awarded: November 28, 2013.
  • July 31, 2014 WO2015017632: Inventors: Jacobs MA, Akhbardeh A. Advanced treatment response prediction using clinical parameters and advanced unsupervised machine learning: the contribution scattergram. Date Awarded: February 5, 2015.
  • Oct 29, 2015 WO2015164517: Inventors: Yang S, Wang Tza-Huei, Jacobs MA, Athamanolap P, Fraley SI, Agarwal V, Parekh V. Melt Curve Classifier for Reliable Large-scale Genotyping of Sequence Variants.

Pending/Filed = 7
Disclosed to the Johns Hopkins Office of Technology Transfer:

  • May 2012 JHU Reference Number #C12028 Inventors, Akhbardeh A, Jacobs MA. A real-time semantic data descriptor: the trackogram
  • April 2015 JHU Reference Number # D13500. Inventors: Parekh V, Jacobs MA. (CSMS): Consensus-similarity mapping system of computer aided diagnosis software for advanced segmentation and visualization of different tissue types of pathologies using multimodal radiological or clinical data.
  • August 2015 JHU Reference Number # D13769. Inventors: Jacobs MA, Euhus D. (ASMS): Accurate Surgical Margin System: Advanced margin delineation of tumors or entities requiring surgery using radiological parameters and advanced high intensity focused ultrasound or other optical methods.
  • July 2016 JHU Reference Number # D14297. Inventors: Jacobs MA, Parekh V. MIRAGE:Radiomics-Geodesic Features Extraction Decision Support System
  • Jan 2018 JHU Reference Number # #D15143. Inventors: Jacobs MA, Parekh V. Radiological Imaging Physics Encoder (RIPE) System: General artificial intelligence system to model the biological composition of pathological tissue by encoding its underlying imaging physics for medical applications, 1/19/2018
  • May 2021 JHU Reference Number #D16639 Inventors: Parekh V., Braverman, Vladimir Jacobs MA, RAD-CORESET: Novel Coresets for Faster Implementation of AI Algorithms, 5/15/2021