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
Evaluation of a Linear Measurement Tool in Virtual Reality for Assessment of Multimodality Imaging Data-A Phantom Study Pushparajah, K., Stephenson, N., Schnabel, J., Deng, S., Wheeler, G. & Simpson, J., 8 Nov 2022, In: Journal of Imaging. 8, 11 Research output: Contribution to journal › Article › peer-review Dense Syn-Net: Inter-Modal and Self-Guided Deep Learned PET-MR Reconstruction Corda-D'Incan, G., Schnabel, J. & Reader, A., 27 Sep 2022, Dense Syn-Net: Inter-Modal and Self-Guided Deep Learned PET-MR Reconstruction. Research output: Chapter in Book/Report/Conference proceeding › Conference paper Self-Guided and MR-Guided Deep-Learned Post-Reconstruction PET Processing Corda-D'Incan, G., Schnabel, J. & Reader, A., 27 Sep 2022, Self-Guided and MR-Guided Deep Learned Post-Reconstruction PET Processing. Research output: Chapter in Book/Report/Conference proceeding › Conference paper Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View Zimmer, V. A., Gomez, A., Skelton, E., Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., 29 Jun 2022. Research output: Working paper/Preprint › Preprint 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 View all publications