Fellowship, Outreach, Experience
Fellowship, Grants, and Awards
2018 - 2019 MIT Sandbox Innovation Fund Recipient
2019 - 2020 Girls Coding Club, Volunteer, Baltimore, MD
2018 - 2019 Jugaad (Innovation) Lab, Co-Founder and Mentor, Cambridge, MA
2016 - 2019 Peer Mentor, Resident Mentor, Cambridge, MA
2016 - 2017 Global Teaching Labs, Instructor, Tel Aviv, Israel
Internships and Research
2019 University of Sydney Bionics Lab, Researcher, Sydney, AUS
2018 - 2019 Novartis Institutes for Biomedical Research, Intern, Cambridge, MA
2019 mDoc, Intern, Johannesburg, SA
2018 Urbanspace, Intern, New York, NY
2018 Toast POS, Intern, Boston, MA
2016 - 2017 MIT Buehler Laboratory, Researcher, Cambridge, MA
2016 Institut de Biomécanique Humaine Georges Charpak, Researcher, Paris, FR
2015 - 2016 MIT Dedon Laboratory, Researcher, Cambridge, MA
2015 Appointlink, Intern, St. Louis, MO
Publications, Conferences, and Invited Talks
H. G. Abramson et al., "Automatic Detection of Foreign Body Objects in Neurosurgery Using a Deep Learning Approach on Intraoperative Ultrasound Images: From Animal Models to First In-Human Testing." Frontiers in Surgery, 2022. https://doi.org/10.3389/fsurg.2022.10400.
A.M. Hersh, ... H. Abramson, ... A. Manbachi, N. Theodore, "Intraoperative Non-Contrast Enhanced Ultrasound to Investigate Spinal Cord Perfusion in a Porcine Model of Spinal Cord Injury," Annual Integrative Ultrasound Meeting, San Diego, CA 2022.
"Towards a Universal Device for Point-of-Care Medicine: A Custom Transducer for Long-Term Monitoring of Local Vascular Flow Via Ultrasound Imaging," Design of Medical Devices Conference (2022) winner of 5 Minute Pitch Competition and selected for Presentation.
"Algorithmic Design for Medical Devices," invited talk at the Edward A. Myerberg Center, Baltimore, MD 2021.
D. M. Popescu, H. G. Abramson, et al. “Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction.” Cardiovascular Digital Health Journal, 2021. https://doi.org/10.1016/j.cvdhj.2021.11.007.
"Anatomically-Guided Deep Learning Approach to Late Gadolinium Enhanced CMR Left Ventricle Segmentation Enables Efficient and Accurate Clinical Analyses," American Heart Association Conference, 2020.
C. R. Taylor, H. G. Abramson and H. M. Herr, "Low-Latency Tracking of Multiple Permanent Magnets," in IEEE Sensors Journal, vol. 19, no. 23, pp. 11458-11468, 1 Dec.1, 2019, doi: 10.1109/JSEN.2019.2936766.
“Peripheral Neural Interfaces in Cerebral Palsy,” Engineering in Medicine and Biology Conference, Berlin, 2019.