Groh, M., Badri, O., Daneshjou, R. et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat Med (2024). https://doi.org/10.1038/s41591-023-02728-3
C. R. Taylor, S. S. Srinivasan, S. H. Yeon, M. K. O'Donnell, T. J. Roberts, H. M. Herr, Magnetomicrometry, Sci.Robot. 6, eabg0656 (2021), DOI: 10.1126/scirobotics.abg0656
Amiri, N., Tasnim, F., Tavakkoli Anbarani, M., Dagdeviren, C.†, Karami, A.†, “Experimentally Verified Finite Element Modeling and Analysis of a Conformable Piezoelectric Sensor”, Smart Materials and Structures, 30 085017, 2021.
Akram Bayat, Connor Anderson and Pratik Shah. "Automated end-to-end deep learning framework for classification and tumor localization from native nonstained pathology images," Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115960A (15 February 2021); doi: 10.1117/12.2582303
Sun, T.*, Tasnim, F.*, McIntosh, R. T., Amiri, N., Solav, D., Anbarani, M. T., Sadat, S., Zhang, L., Gu, Y., Karami, M. A., Dagdeviren, C.†, “Decoding of Facial Strains via Conformable Piezoelectric Interfaces”, Nature Biomedical Engineering, 4, 954–972, 2020.
C. Taylor, Magnetomicrometry : Tissue length tracking via implanted magnetic beads (2020). https://dspace.mit.edu/handle/1721.1/130210
C. R. Taylor, H. G. Abramson, and H. M. Herr, “Low-Latency Tracking of Multiple Permanent Magnets,” IEEE Sensors Journal, pp. 1–11, 2019.
Finlayson, S. G., Bowers, J. D., Ito, J., Zittrain, J. L., Beam, A. L., & Kohane, I. S. (2019). Adversarial attacks on medical machine learning. Science, 363(6433), 1287. https://doi.org/10.1126/science.aaw4399
Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133
Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097