Grants per year
Personal profile
Research Interests
Cardiac electrophysiology, in particular the mechanisms, monitoring and automatic diagnosis and treatment of the atrial cardiac arrhythmias. Irreversible electroporation methods for ablating cancerous tumors including non-resectable liver and pancreatic cancer. RF ablation for establishing cancer-free post-lumpectomy margins. Non-contact vital signs monitoring using millimeter-wave and other remote sensing methods. Beyond-CMOS logic realizations including spintronics, magneto-resistive devices and circuits and all-carbon logic.
Education/Academic qualification
Electrical and Computer Engineering, PhD, University of Wisconsin-Madison
… → 1984
Electrical Engineering, MSEE, University of Wisconsin-Madison
… → 1979
Applied Science, and in Physics, BS, University of Wisconsin-Parkside
… → 1976
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants
- 18 Finished
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Feedback-based radiofrequency ablation system for user-defined three-dimensional ablation geometries
Innoblative Designs, Inc., National Science Foundation
7/1/16 → 6/30/17
Project: Research project
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MRI-Guided Irreversible Electroporation Ablation for Liver Tumors
Larson, A. C., Lewandowski, R. J., Sahakian, A. V., Yang, G. & Zhang, Z.
7/1/15 → 6/30/19
Project: Research project
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Development of an Expandable Radiofrequency Ablation Probe for Breast Cancer Treatment
Mahvi, D. M. & Sahakian, A. V.
National Collegiate Inventors and Innovators Alliance, Inc.
4/1/13 → 8/31/15
Project: Research project
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Northwestern University - Select Teaching and Research Training (NU-STAR) Program
Henschen, L. J. & Sahakian, A. V.
National Institute of General Medical Sciences
9/4/09 → 8/31/14
Project: Research project
Research Output
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Early and late fusion machine learning on multi-frequency electrical impedance data to improve radiofrequency ablation monitoring
Besler, E., Wang, Y. C. & Sahakian, A. V., Aug 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 8, p. 2359-2367 9 p., 8895991.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Real-Time Radiofrequency Ablation Lesion Depth Estimation Using Multi-frequency Impedance with a Deep Neural Network and Tree-Based Ensembles
Besler, E., Wang, Y. C. & Sahakian, A. V., Jul 2020, In: IEEE Transactions on Biomedical Engineering. 67, 7, p. 1890-1899 10 p., 8886409.Research output: Contribution to journal › Article › peer-review
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Classifying small volumes of tissue for real-time monitoring radiofrequency ablation
Besler, E., Wang, Y. C., Chan, T. & Sahakian, A. V., Jan 1 2019, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Wilk, S., ten Teije, A. & Riaño, D. (eds.). Springer Verlag, p. 205-215 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11526 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
Inappropriate activation of pacemaker magnet response mode by CPAP masks
Schwartz, Y., Wasserlauf, J., Sahakian, A. V. & Knight, B., Jan 1 2019, In: PACE - Pacing and Clinical Electrophysiology.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Real-time monitoring radiofrequency ablation using tree-based ensemble learning models
Besler, E., Curtis Wang, Y., C. Chan, T. & V. Sahakian, A., Jan 1 2019, In: International Journal of Hyperthermia. 36, 1, p. 428-437 10 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations