Nick Byrne

2020
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
Clough, J., Byrne, N., Oksuz, I., Zimmer, V., Schnabel, J. & King, A., 4 Sept 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence.
Research output: Contribution to journal › Article › peer-review

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97 Citations (Scopus)

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2017
Three-dimensional printed models for surgical planning of complex congenital heart defects: An international multicentre study
Valverde, I., Gomez-Ciriza, G., Hussain, T., Suarez-Mejias, C., Velasco-Forte, M. N., Byrne, N., Ordoñez, A., Gonzalez-Calle, A., Anderson, D., Hazekamp, M. G., Roest, A. A. W., Rivas-Gonzalez, J., Uribe, S., El-Rassi, I., Simpson, J., Miller, O., Ruiz, E., Zabala, I., Mendez, A. & Manso, B. & 11 others, Gallego, P., Prada, F., Cantinotti, M., Ait-Ali, L., Merino, C., Parry, A., Poirier, N., Greil, G., Razavi, R., Gomez-Cia, T. & Hosseinpour, A. R., 1 Dec 2017, In: European Journal of Cardio-thoracic Surgery. 52, 6, p. 1139-1148 10 p.
Research output: Contribution to journal › Article › peer-review
187 Citations (Scopus)

Research output