You are here

Show:
Printer-friendly versionPrinter-friendly version
  • Ackerman MJ. Computer briefs: the healthcare trifecta. J Med Pract Manage. 2013 Sep-Oct;29(2):140-1.
  • Ackerman MJ. Computer briefs: privacy, M-health, and social media. J Med Pract Manage. 2013 Jan-Feb;28(4):264-5.
  • Ackerman MJ, Locatis CN. Advanced networks and computing in healthcare. J Am Med Inform Assoc. 2011 Jul-Aug;18(4):523-8. doi: 10.1136/amiajnl-2010-000054. Epub 2011 Apr 12.
  • Ackerman MJ, Siegel, E, Wood, F. Interactive Science Publishing: A joint OSA-NLM project. Information Services & Use. 2010 Jan-Feb;30:39-50. DOI: 10.3233/ISU-2010-0612.
  • Ackerman MJ, Filart R, Burgess LP, Lee I, Poropatich RK. Developing next-generation telehealth tools and technologies: patients, systems, and data perspectives. Telemed J E Health. 2010 Jan-Feb;16(1):93-5. doi: 10.1089/tmj.2009.0153.
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Ackerman MJ. Adopting New Technology Into Society: Going From an Idea to an Institution. Public Policy and Aging Report. 2004;14(1):25.
  • Ackerman MJ, Yoo T. The Visible Human Data Sets (VHD) and Insight Toolkit (ITk): experiments in open source software. AMIA Annu Symp Proc [American Medical Informatics Association Annual Symposium Proceedings]; 2003 Nov 8-12; Washington DC. p. 773.
  • Ackerman MJ. The Visible Human Project Moves from Data to Knowledge. Lékař a technika. 2002;33(1):4-12.
  • Ackerman MJ. Visible Human Project: From Data to Knowledge. In: Haux R, Kulikowski C, editors. Yearbook of Medical Informatics 2002: Medical Imaging Informatics. International Medical Informatics Association (IMIA). p. 115-7.
  • Ackerman MJ, Craft R, Ferrante F, Kratz M, Mandil S, Sapci H. Telemedicine/telehealth: an international perspective. Telemedicine technology. Telemed J E-Health. 2002 Spring;8(1):71-8.
  • Ackerman MJ, Yoo T, Jenkins D. From Data to Knowledge - The Visible Human Project Continues. In: Patel VL, Rogers R, Haux R, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] – MEDINFO 2001: Proceedings of the 10th World Congress on Medical Informatics (2001 Sep 2-5; London);84(Part II):887-90. Amsterdam: IOS Press.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • Ackerman MJ. Computer Briefs: Is 21st Century E-Health Care Really Self Care? J Med Pract Manage. 2000 Sep-Oct;16(2):108-9.
  • Ackerman MJ, Banvard RA. Imaging Outcomes from the National Library of Medicine's Visible Human Project. Comput Med Imaging Graph. 2000 May-Jun;24(3):125-6.
  • Ackerman MJ, Yoo T, Jenkins D. The Visible Human Project: From Data to Knowledge. In: Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, editors. Proceedings of the 14th International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS2000); 2000 Jun 28-Jul 1; San Francisco. Amsterdam: Elsevier; 2000 Jun 1. p. 11-6.
  • Ackerman MJ. Dataset: Visible Human Project reference data sets.
  • Almubarak H, Guo P, Stanley RJ, Long LR, Antani SK, Thoma GR. Algorithm Enhancements for Improvement of Localized Classification of Uterine Cervical Cancer Digital Histology Images. in Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics,. IGI Global (Hershey, PA).
  • Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.044.
  • Altemus AR. Mobile App: Native Voices: Native Peoples' Concepts of Health and Illness
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1744-1749, doi: 10.1109/ICMLA.2019.00283
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113144G (16 March 2020); https://doi.org/10.1117/12.2551183
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions. IEEE Reviews in Biomedical Engineering, doi: 10.1109/RBME.2020.2988295
  • Alzamzmi GA, Rajaraman S, Antani SK. Accelerating Super-Resolution and Visual Task Analysis in Medical Images. Appl. Sci. 2020, 10, 4282.

Pages