Items where Author is "Kainz, B."
Article
Day, T. G., Budd, S., Tan, J. , Matthew, J., Skelton, E. ORCID: 0000-0003-0132-7948, Jowett, V., Lloyd, D., Gomez, A., Hajnal, J. V., Razavi, R., Kainz, B. & Simpson, J. M. (2023). Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?. Prenatal Diagnosis, 44(6-7), pp. 717-724. doi: 10.1002/pd.6445
Zimmer, V. A., Gomez, A., Skelton, E. ORCID: 0000-0003-0132-7948 , Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A. (2023). Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Analysis, 83, article number 102639. doi: 10.1016/j.media.2022.102639
Zimmerer, D., Full, P. M, Isensee, F. , Jäger, P., Adler, T., Petersen, J., Kohler, G., Ross, T., Reinke, A., Kascenas, A., Jensen, B. S., O'Neil, A. Q., Tan, J., Hou, B., Batten, J., Qiu, H., Kainz, B., Shvetsova, N., Fedulova, I., Dylov, D. V., Yu, B., Zhai, J., Hu, J., Si, R., Zhou, S., Wang, S., Li, X., Chen, X., Zhao, Y., Marimont, S. N., Tarroni, G. ORCID: 0000-0002-0341-6138, Saase, V., Maier-Hein, L. & Maier-Hein, K. (2022). MOOD 2020: A public Benchmark for Out-of-Distribution Detection and Localization on medical Images. IEEE Transactions on Medical Imaging, 41(10), pp. 2728-2738. doi: 10.1109/tmi.2022.3170077
Gomez, A., Zimmer, V. A., Wheeler, G. , Toussaint, N., Deng, S., Wright, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Kainz, B., Hajnal, J. V. & Schnabel, J. (2022). PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX, 17, article number 100959. doi: 10.1016/j.softx.2021.100959
Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Li, Y. , Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V. & Rutherford, M. (2020). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography, 27(2), pp. 519-526. doi: 10.1016/j.radi.2020.11.006
Bai, W., Sinclair, M., Tarroni, G. ORCID: 0000-0002-0341-6138 , Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., Carapella, V., Kim, Y. J., Suzuki, H., Kainz, B., Matthews, P M., Petersen, S. E., Piechnik, S. K., Neubauer, S., Glocker, B. & Rueckert, D. (2018). Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonanc, 20(1), article number 65. doi: 10.1186/s12968-018-0471-x
Kainz, B., Steinberger, M., Wein, W. , Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T., Rutherford, M., Aljabar, P., Hajnal, J. V. & Rueckert, D. (2015). Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. IEEE Transactions on Medical Imaging, 34(9), pp. 1901-1913. doi: 10.1109/tmi.2015.2415453
Conference or Workshop Item
Baugh, M. ORCID: 0000-0001-6252-7658, Reynaud, H. ORCID: 0000-0003-0261-2660, Marimont, S. N. ORCID: 0000-0002-7075-5586 , Cechnicka, S., Müller, J. P. ORCID: 0000-0001-8636-7986, Tarroni, G. ORCID: 0000-0002-0341-6138 & Kainz, B. ORCID: 0000-0002-7813-5023 (2025). Image-Conditioned Diffusion Models for Medical Anomaly Detection. In: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. UNSURE 2024, 10 Oct 2024, Marrakesh, Morocco. doi: 10.1007/978-3-031-73158-7_11
Naval Marimont, S. ORCID: 0000-0002-7075-5586, Siomos, V., Baugh, M. , Tzelepis, C., Kainz, B. & Tarroni, G. ORCID: 0000-0002-0341-6138 (2024). Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. Paper presented at the MICCAI 2024 27th International Conference, 6-10 Oct 2024, Marrakesh, Morocco. doi: 10.1007/978-3-031-72120-5_23
Naval Marimont, S., Baugh, M., Siomos, V. , Tzelepis, C. ORCID: 0000-0002-2036-9089, Kainz, B. & Tarroni, G. (2024). DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. Paper presented at the IEEE International Symposium on Biomedical Imaging 2024, 27-30 May 2024, Athens, Greece. doi: 10.1109/ISBI56570.2024.10635161
Other
Rajchl, M., Lee, M., Schrans, F. , Davidson, A., Passerat-Palmbach, J., Tarroni, G. ORCID: 0000-0002-0341-6138, Alansary, A., Oktay, O., Kainz, B. & Rueckert, D. (2020). Learning under Distributed Weak Supervision.