Prosch, Helmut

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

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Intraoperative extracorporeal membrane oxygenation and the possibility of postoperative prolongation improve survival in bilateral lung transplantation

Hoetzenecker, K., Schwarz, S., Muckenhuber, M., Benazzo, A., Frommlet, F., Schweiger, T., Bata, O., Jaksch, P., Ahmadi, N., Muraközy, G., et al. (2018) · The Journal of Thoracic and Cardiovascular Surgery

Transplantation: Methods and OutcomesMechanical Circulatory Support Devices

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Bilateral lung transplantation on intraoperative extracorporeal membrane oxygenator: an observational study

Hoetzenecker, K., Benazzo, A., Stork, T., Sinn, K., Schwarz, S., Schweiger, T., Klepetko, W., Kifjak, D., Baron, D. M., Hager, H., et al. (2020) · The Journal of Thoracic and Cardiovascular Surgery

Transplantation: Methods and OutcomesMechanical Circulatory Support Devices

Cited by 157

Dynamic Memory to Alleviate Catastrophic Forgetting in Continual Learning with Medical Imaging

Perkonigg, M., Hofmanninger, J., Herold, C. J., Brink, J. A., Pianykh, O., Prosch, H., & Langs, G. (2021) · Nature Communications

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

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