Atta-Fosu, T., LaBarbara, M., Ghose, S., Schoenhagen, P., Saliba, W., Tchou, P., Lindsay, B., Desai, M., Kwon, D., Chung, M., & Madabhushi, A.(2021).A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.BMC Medical Imaging,21(1),45.
Firouznia, M., Feeney, A., LaBarbera, M., McHale, M., Cantlay, C., Kalfas, N., Schoenhagen, P., Saliba, W., Tchou, P., Barnard, J., Chung, M., & Madabhushi, A.(2021).Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.Circulation: Arrhythmia and Electrophysiology,14(3),e009265.
Feeny, A., Chung, M., Madabhushi, A., Attia, Z., Cikes, M., Firouznia, M., Friedman, P., Kalscheur, M., Kapa, S., Narayan, S., Noseworthy, P., Passman, R., Perez, M., Peters, N., Piccini, J., Tarakji, K., Thomas, S., Trayanova, N., Turakhia, M., & Wang, P.(2020).Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.Circulation - Arrhythmia and Electrophysiology,13(8).
Feeny, A., Rickard, J., Trulock, K., Patel, D., Toro, S., Moennich, L., Varma, N., Niebauer, M., Gorodeski, E., Grimm, R., Barnard, J., Madabhushi, A., & Chung, M.(2020).Machine Learning of 12-lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients with Differential Outcomes.Circulation - Arrhythmia and Electrophysiology,13(7).
Sandhu, A., Wang, Y., Bena, J., Loparo, K. A., Taylor, J. A., Nawabit, R. A., Chung, M. A., Van Wagoner, D. A., Walia, H. A., & Others, H. A.(2020).0614 Diurnal Patterning of Autonomic Measures in Sleep Apnea and Paroxysmal Atrial Fibrillation and Response to Continuous Positive Airway Pressure Therapy.Sleep,43(Supplement\_1),A235--A235.
Feeny, A., Rickard, J., Patel, D., Toro, S., Trulock, K., Park, C., LaBarbera, M., Varma, N., Niebauer, M., Sinha, S., Gorodeski, E., Grimm, R., Ji, X., Barnard, J., Madabhushi, A., Spragg, D., & Chung, M.(2019).Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.Circulation - Arrhythmia and Electrophysiology,12(7).
