Professor Julia Schnabel Academics Supervisors Chair in Computational Imaging Contact details julia.schnabel@kcl.ac.uk +44 (0) 20 7848 9561 @ja_schnabel
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 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 MR-guided motion-corrected PET image reconstruction for cardiac PET-MR Munoz Escobar, C., Ellis, S., Nekolla, S. G., Kunze, K., Vitadello, T., Neji, R., Botnar, R., Schnabel, J., Reader, A. & Prieto Vasquez, C., 28 May 2021, In: Journal of Nuclear Medicine. Research output: Contribution to journal › Article › peer-review Comparison of classical machine learning deep learning to characterise fibrosis inflammation using quantitative MRI Chan, E., Kelly, M. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 729-732 4 p. 9433962. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ISBI48211.2021.9433962 Patient-specific 3d cellular automata nodule growth synthesis in lung cancer without the need of external data Manzanera, O. E. M., Ellis, S., Baltatzis, V., Nair, A., Le Folgoc, L., Desai, S., Glocker, B. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 925-928 4 p. 9433893. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ISBI48211.2021.9433893 Virtual reality three dimensional echocardiographic imaging for planning surgical atrioventricular valve repair Pushparajah, K., Chu, K. Y. K., Deng, S., Wheeler, G., Gomez Herrero, A., Kabir, S. R., Schnabel, J. & Simpson, J., 19 Feb 2021, (Accepted/In press) In: JTCVS Techniques. Research output: Contribution to journal › Article › peer-review AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs Li, L., Zimmer, V. A., Schnabel, J. A. & Zhuang, X., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 557-566 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12906 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-87231-1_54 Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning Munroe, L., Sajith, G., Lin, E., Bhattacharya, S., Pushparajah, K., Simpson, J., Schnabel, J. A., Wheeler, G., Gomez, A. & Deng, S., 2021, Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Proceedings. Papież, B. W., Yaqub, M., Jiao, J., Namburete, A. I. & Noble, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 177-188 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12722 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-80432-9_14 View all publications