Rassul Karabalin | Case School of Engineering

Patents Received

2012, "Very low voltage, ultrafast nanoelectromechanical switches and resonant switches" 8,115,344, Philip Feng, Matthew Matheny, Rassul Karabalin, & Michael Roukes.

2012, "Nano-electro-mechanical systems switches" US Patent 8,258,899, Philip Feng, Rassul Karabalin, John Aldridge, & Michael Roukes.

Patents Pending

2011, "Parametric feedback oscillators" US Patent App. 20,110/260,802, Philip Feng, Luis Villanueva, Rassul Karabalin, Matthew Matheny, Michael Cross, & Michael Roukes.

Publications

Bedell, H., Song, S., Li , X., Molinich, E., Karabalin, R., Stiller, A., Danda, V., Decker, M., Shoffstall, A., Voit, W., Pancrazio, J., & Capadona, J. R. (2018). Understanding the Effects of Both CD14-Mediated Innate Immunity and Device/Tissue Mechanical Mismatch in the Neuroinflammatory Response to Intracortical Microelectrodes.. Frontiers in neuroscience, 12 , 772.

Dong, J., Karabalin, R., Wilson, D. L., Bezerra, H. L., & Gunalan, K. L. (2017). Target Lesion Calcium Arc Influence the Performance of Stenting.. 2017 Design of Medical Devices Conference : April 10-13, 2017, Minneapolis, Minnesota, USA. Design of Medical Devices Conference (2017 : Minneapolis, Minn.), 2017

Ginsburg, S., Lee, G., Karabalin, R., & Madabhushi, A. (2016). Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.. IEEE transactions on medical imaging, 35 (1), 76-88.

Karabalin, R., Rimm, D., Ganesan, S., & Madabhushi, A. (2016). Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers. Cancer Research [00085472], 76 (4 Supplement), P5-07-12-P5-07-12.

Karabalin, R., Veltri, R., Epstein, J., Christudass, C., & Madabhushi, A. (2015). Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 41 , 3-13.

Veltri, R., Zhu, G., Lee, G., Karabalin, R., Madabhushi, A., & Cheng, C. (2015). Histomorphometry of Digital Pathology: Case Study in Prostate Cancer. FRONTIERS OF MEDICAL IMAGING.

Lee, G., Sparks, R., Karabalin, R., Shih, N., Feldman, M., Spangler, E., Rebbeck, T., Tomaszewski, J., & Madabhushi, A. (2014). Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.. PloS one, 9 (5), e97954.

Lewis, Jr, J., Karabalin, R., Luo, J., Thorstad, W., & Madabhushi, A. (2014). A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma.. The American journal of surgical pathology, 38 (1), 128-37.

Karabalin, R., Lewis, S., & Madabhushi, A. (2013). Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 1), 412-9.

Lee, G., Karabalin, R., Veltri, R., Epstein, J., Christudass, C., & Madabhushi, A. (2013). Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 3), 396-403.

Ginsburg, S., Karabalin, R., Lee, G., Basavanhally, A., & Madabhushi, A. (2013). Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 2), 238-45.

Karabalin, R., & Madabhushi, A. (2012). An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.. IEEE transactions on medical imaging, 31 (7), 1448-60.

Karabalin, R., Veltri, R., Epstein, J., Christudass, C., & Madabhushi, A. (2011). Adaptive energy selective active contour with shape priors for nuclear segmentation and gleason grading of prostate cancer.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 14 (Pt 1), 661-9.

Karabalin, R., & Madabhushi, A. (2011). Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology.. Journal of pathology informatics, 2 , S13.

Ashford, Jr, M., Liu, W., Karabalin, R., Abraszewski, P., Caruthers, S., Connolly, A., Yu, X., & Wickline, S. (2005). Occult cardiac contractile dysfunction in dystrophin-deficient children revealed by cardiac magnetic resonance strain imaging.. Circulation, 112 (16), 2462-7.