Professor Julia Schnabel Academics Supervisors Chair in Computational Imaging Research subject areas Imaging sciences Contact details julia.schnabel@kcl.ac.uk +44 (0) 20 7848 9561 @ja_schnabel
Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning Dal Toso, L., Chalampalakis, Z., Buvat, I., Comtat, C., Cook, G., Goh, V., Schnabel, J. A. & Marsden, P. K., 7 May 2022, In: Physics in Medicine and Biology. 67, 9, 095013. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1088/1361-6560/ac65d6 Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review Li, L., Zimmer, V. A., Schnabel, J. A. & Zhuang, X., Apr 2022, In: Medical Image Analysis. 77, 102360. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.media.2022.102360 AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information Li, L., Zimmer, V. A., Schnabel, J. A. & Zhuang, X., Feb 2022, In: Medical Image Analysis. 76, 102303. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.media.2021.102303 Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data Machado, I., Puyol-Antón, E., Hammernik, K., Cruz, G., Ugurlu, D., Ruijsink, B., Castelo-Branco, M., Young, A., Prieto, C., Schnabel, J. A. & King, A. P., 2022, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Puyol Antón, E., Young, A., Suinesiaputra, A., Pop, M., Martín-Isla, C., Sermesant, M., Camara, O. & Lekadir, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 12-20 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13131 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-93722-5_2 The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images Ugurlu, D., Puyol-Antón, E., Ruijsink, B., Young, A., Machado, I., Hammernik, K., King, A. P. & Schnabel, J. A., 2022, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Puyol Antón, E., Young, A., Suinesiaputra, A., Pop, M., Martín-Isla, C., Sermesant, M., Camara, O. & Lekadir, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 57-65 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13131 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-93722-5_7 PRETUS: A plug-in based platform for real-time ultrasound imaging research Gomez Herrero, A., Zimmer, V., Wheeler, G., Toussaint, N., Deng, S., Wright, R., Skelton, E., Matthew, J., Kainz, B., Hajnal, J. & Schnabel, J., 15 Dec 2021, (Accepted/In press) In: SoftwareX. Research output: Contribution to journal › Article › peer-review MRI-Guided Motion-Corrected PET Image Reconstruction for Cardiac PET/MRI Munoz, C., Ellis, S., Nekolla, S. G., Kunze, K. P., Vitadello, T., Neji, R., Botnar, R. M., Schnabel, J. A., Reader, A. J. & Prieto, C., 1 Dec 2021, In: Journal of Nuclear Medicine. 62, 12, p. 1768-1774 7 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2967/jnumed.120.254235 A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down Syndrome Toussaint, N., Redhead, Y., Vidal-garcía, M., Lo Vercio, L., Liu, W., Fisher, E. M. C., Hallgrímsson, B., Tybulewicz, V. L. J., Schnabel, J. A. & Green, J. B. A., Sep 2021, In: Development (Cambridge). 148, 18, 188631. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1242/dev.188631 A virtual reality system for improved image-based planning of complex cardiac procedures Deng, S., Wheeler, G., Toussaint, N., Munroe, L., Bhattacharya, S., Sajith, G., Lin, E., Singh, E., Chu, K. Y. K., Kabir, S., Pushparajah, K., Simpson, J. M., Schnabel, J. A. & Gomez, A., Aug 2021, In: Journal of Imaging. 7, 8, 151. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3390/jimaging7080151 Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction with Iteration-Dependent Targets Corda-D’Incan, G., Schnabel, J. A. & Reader, A. J., 20 Jul 2021, (Accepted/In press) In: Transactions on Radiation and Plasma Medical Sciences. 13 p. Research output: Contribution to journal › Article › peer-review View all publications