Tuncer, T., Dogan, S., Baygin, M., Barua, P. D., Palmer, E. E., March, S., Ciaccio, E. J., Tan, R.-S., & Acharya, U. R. (2024). FLP: Factor lattice pattern-based automated detection of Parkinson’s disease and specific language impairment using recorded speech. Computers in Biology and Medicine, 173, 108280. https://doi.org/10.1016/j.compbiomed.2024.108280

Straughan, R., Kadry, K., .Parikh, S. A., Edelman, E. R., & Nezami, F. R. (2023). Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomography. Computers in Biology and Medicine, 165, 107341. https://doi.org/10.1016/j.compbiomed.2023.107341

Lee, S., Shirinpour, S., Alekseichuk, I., Perera, N., Linn, G., Schroeder, C. E., Falchier, A. Y., & Opitz, A. (2023). Predicting the phase distribution during multi-channel transcranial alternating current stimulation in silico and in vivo. Computers in Biology and Medicine, 166, 107516. https://doi.org/10.1016/j.compbiomed.2023.107516

Raghavendra, U., Gudigar, A., Paul, A., Goutham, T. S., Inamdar, M. A., Hegde, A., Devi, A., Ooi, C. P., Deo, R. C., Barua, P. D., Molinari, F., Ciaccio, E. J., & Acharya, U. R. (2023). Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Computers in Biology and Medicine, 163, 107063. https://doi.org/10.1016/j.compbiomed.2023.107063

Tourni, M., Han, S. J., Weber, R., Kucinski, M., Wan, E. Y., Biviano, A. B., & Konofagou, E. E. (2023). Electromechanical Cycle Length Mapping for atrial arrhythmia detection and cardioversion success assessment. Computers in Biology and Medicine, 163, 107084. https://doi.org/10.1016/j.compbiomed.2023.107084

Caballero, A., Qin, T., Hahn, R. T., McKay, R., & Sun, W. (2022). Quantification of mitral regurgitation after transcatheter edge-to-edge repair: Comparison of echocardiography and patient-specific in silico models. Computers in Biology and Medicine, 148, 105855. https://doi.org/10.1016/j.compbiomed.2022.105855

Rios, R., Miller, R. J. H., Manral, N., Sharir, T., Einstein, A. J., Fish, M. B., Ruddy, T. D., Kaufmann, P. A., Sinusas, A. J., Miller, E. J., Bateman, T. M., Dorbala, S., Di Carli, M., Van Kriekinge, S. D., Kavanagh, P. B., Parekh, T., Liang, J. X., Dey, D., Berman, D. S., & Slomka, P. J. (2022). Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Computers in Biology and Medicine, 145, 105449. https://doi.org/10.1016/j.compbiomed.2022.105449

Sun, S., Mutasa, S., Liu, M. Z., Nemer, J., Sun, M., Siddique, M., Desperito, E., Jambawalikar, S., & Ha, R. S. (2022). Deep learning prediction of axillary lymph node status using ultrasound images. Computers in Biology and Medicine, 143, 105250. https://doi.org/10.1016/j.compbiomed.2022.105250