Daphne Schlesinger


View My GitHub Profile

  • publications
  • artwork
  • publications

    DE Schlesinger, R Alam, R Ringel, E Pomerantsev, S Devireddy, P Shah, J Garasic, CM Stultz. Artificial Intelligence for Outpatient Hemodynamic Monitoring with a Wearable ECG Monitor. MedArxiv (2024). https://doi.org/10.1101/2024.04.01.24304487

    A Raghu, DE Schlesinger, E Pomerantsev, S Devireddy, P Shah, J Garasic, J Guttag, CM Stultz. ECG-guided non-invasive estimation of pulmonary congestion in patients with heart failure. Scientific Reports (2023). https://doi.org/10.1038/s41598-023-30900-9

    DE Schlesinger, N Diamant, A Raghu, E Reinertsen, K Young, P Batra, E Pomerantsev, CM Stultz. A deep learning model for inferring elevated pulmonary capillary wedge pressures from the 12-lead electrocardiogram. JACC: Advances (2022).

    DE Schlesinger, CM Stultz. Deep Learning for Cardiovascular Risk Stratification. Curr Treat Options Cardio Med (2020).

    Q Guo, CJ Bishop, RA Meyer, DR Wilson, L Olasov, DE Schlesinger, PT Mather, JB Spicer, JH Elisseeff, JJ Green. Entanglement-Based Thermoplastic Shape Memory Polymeric Particles with Photothermal Actuation for Biomedical Applications. ACS Applied Materials and Interfaces (2018). https://doi.org/10.1021/acsami.8b01582