Research output per year
Research output per year
Search results
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2021
Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes
Macleod, R., Counsell, S., Carmichael, D., Dimitrova, R., Pietsch, M., Edwards, A. D., Rutherford, M. A. & O’Muircheartaigh, J., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-241 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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2020
Automatic Detection of Neonatal Brain Injury on MRI
Macleod, R., O’Muircheartaigh, J., Edwards, A. D., Carmichael, D., Rutherford, M. & Counsell, S. J., 2020, Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Hu, Y., Licandro, R., Noble, J. A., Hutter, J., Melbourne, A., Aylward, S., Abaci Turk, E., Torrents Barrena, J. & Torrents Barrena, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 324-333 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12437 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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2019
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
Lin, H., Figini, M., Tanno, R., Blumberg, S. B., Kaden, E., Ogbole, G., Brown, B. J., D’Arco, F., Carmichael, D. W., Lagunju, I., Cross, H. J., Fernandez-Reyes, D. & Alexander, D. C., 1 Jan 2019, Machine Learning for Medical Image Reconstruction - 2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). SPRINGER, p. 58-70 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11905 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
12 Citations (Scopus)