Principal's Office

Research output

Research output per year 1985 2020 2021 2022 2023

• 4482 Citations
• 176 Article
• 32 Chapter
• 15 Book
• 13 Conference paper
• 27 More
  • 10 Book/Film/Article review
  • 4 Review article
  • 3 Literature review
  • 2 Report
  • 2 Comment/debate
  • 1 Editorial
  • 1 Meeting abstract
  • 1 Poster abstract
  • 1 Special issue
  • 1 Other contribution
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2022

  AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography

  Puyol-Antón, E., Ruijsink, B., Sidhu, B. S., Gould, J., Porter, B., Elliott, M. K., Mehta, V., Gu, H., Rinaldi, C. A., cowie, M., Chowienczyk, P., Razavi, R. & King, A. P., 15 Sept 2022, Simplifying Medical Ultrasound - 3rd International Workshop, ASMUS 2022, held in Conjunction with MICCAI 2022, Proceedings. Aylward, S., Noble, J. A., Hu, Y., Lee, S-L., Baum, Z. & Min, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13565 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Biological Marker 100%
  • Echocardiography 66%
  • Analysis 50%
  • Heart Function 33%
  • Heart Left Ventricle Ejection Fraction 33%
  2 Citations (Scopus)

• Fetal Blood Flow Assessment Using Motion-Robust Whole Heart 4D Cine MRI

  Steinweg, J. K., Roberts, T., van Poppel, M., Lloyd, D., Razavi, R., Hajnal, J. & Pushparajah, K., 12 Feb 2022, The 54th Annual Meeting of the German Society for Pediatric Cardiology (DGPK). The Thoracic and Cardiovascular Surgeon: Thieme, Vol. 70.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR

  Mariscal-Harana, J., Kifle, N., Razavi, R., King, A. P., Ruijsink, B. & Puyol-Antón, E., 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. 84-92 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

  • Cardiac Magnetic Resonance Imaging 100%
  • Base 50%
  • Analysis 25%
  • Hospital 25%

• Simplifying Disease Staging Models into a Single Anatomical Axis - A Case Study of Aortic Coarctation In-utero

  Hermida, U., Poppel, M. P. M. V., Stojanovski, D., Lloyd, D. F. A., Steinweg, J. K., Vigneswaran, T. V., Simpson, J. M., Razavi, R., Vecchi, A. D., Pushparajah, K. & Lamata, P., 2022, Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Qin, C., Sermesant, M. & Wang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 269-279 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13593 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Staging Model 100%
  • Phenotype 100%
  • Linearity 66%
  • Statistical Shape Model 33%
  • Linear Discriminant Analysis 33%
  2 Citations (Scopus)

• Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction

  Dawood, T., Chen, C., Andlauer, R., Sidhu, B. S., Ruijsink, B., Gould, J., Porter, B., Elliott, M., Mehta, V., Rinaldi, C. A., Puyol-Antón, E., Razavi, R. & 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. 189-198 10 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

  • Interpretability 100%
  • Deep Learning Model 100%
  • Performance Metric 49%
  • False Negative 49%
  • True Positive 49%
  3 Citations (Scopus)
• 2021

  Automatic detection of B-lines in lung ultrasound videos from severe dengue patients

  Kerdegari, H., Nhat, P. T. H., McBride, A., Razavi, R., Hao, N. V., Thwaites, L., Yacoub, S. & Gomez, A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 989-993 5 p. 9434006. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Lung 100%
  • Dengue Fever 100%
  • Ultrasound 100%
  • Liquid 33%
  • Convolutional Neural Network 33%
  4 Citations (Scopus)

• Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?

  Budd, S., Day, T., Simpson, J., Lloyd, K., Matthew, J., Skelton, E., Razavi, R. & Kainz, B., 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - 3rd MICCAI Workshop, DART 2021, and 1st MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 251-262 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Annotation 100%
  • Image Analysis 33%
  • Observer Variability 33%
  • Medical Image Data 33%
  • Deep Learning Model 33%
  4 Citations (Scopus)

• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps

  Budd, S., Sinclair, M., Day, T., Vlontzos, A., Tan, J., Liu, T., Matthew, J., Skelton, E., Simpson, J., Razavi, R., Glocker, B., Rueckert, D., Robinson, E. C. & Kainz, B., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. 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. 207-217 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Disease 100%
  • Atlas 100%
  • Plastic 100%
  • Syndrome 100%
  • Fetus Echography 100%
  8 Citations (Scopus)

• Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

  Puyol-Antón, E., Ruijsink, B., Piechnik, S. K., Neubauer, S., Petersen, S. E., Razavi, R. & King, A. P., 21 Sept 2021, (E-pub ahead of print) In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12903, p. 413-423 11 p.

  Research output: Contribution to journal › Conference paper › peer-review

  Open Access

  File

  • Image Analysis 100%
  • Segmentation 100%
  • Training Data 66%
  • Standard Deviation 66%
  • Dice 66%
  47 Citations (Scopus)

  126 Downloads (Pure)
• 2020

  Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders

  Puyol-Antón, E., Ruijsink, B., Clough, J. R., Oksuz, I., Rueckert, D., Razavi, R. & King, A. P., 2020, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Pop, M., Sermesant, M., Camara, O., Zhuang, X., Li, S., Young, A., Mansi, T. & Suinesiaputra, A. (eds.). SPRINGER, p. 22-30 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12009 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Blood 100%
  • Variational Autoencoder 100%
  • Estimation 25%
  • Combines 25%
  • Health Care 25%
  3 Citations (Scopus)

  104 Downloads (Pure)

• Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening

  Tan, J., Au, A., Meng, Q., FinesilverSmith, S., Simpson, J., Rueckert, D., Razavi, R., Day, T., Lloyd, D. & Kainz, B., 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. 243-252 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

  • Screening 100%
  • Persistent Truncus Arteriosus 100%
  • Fetus Echography 100%
  • Learning 33%
  • Newborn Mortality 33%
  12 Citations (Scopus)

• Quality-aware semi-supervised learning for CMR segmentation

  Ruijsink, B., Puyol Anton, E., Li, Y., Bai, W., Kerfoot, E., Razavi, R. & King, A., 26 Aug 2020, 2020 Conference on Medical Image Computing and Computer Assisted Interventions: Workshop on Statistical Atlases and Computational Modelling of the Heart. Springer

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Semisupervised Learning 100%
  • Segmentation 100%
  • Network Segmentation 80%
  • Image Analysis 40%
  • Data Augmentation 40%
  55 Downloads (Pure)
• 2006

  Correction of misaligned slices in multi-slice MR cardiac examinations by using slice-to-volume registration

  Chandler, A. G., Pinder, R. J., Netsch, T., Schnabel, J. A., Hawkes, D. J., Hill, D. L. G. & Razavi, R., 2006, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006. p. 474-477 4 p. 1624956

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Cardiac Magnetic Resonance Imaging 100%
  • Image Acquisition 100%
  • Reproducibility 100%
  • Breathing 66%
  • Patient 33%
  11 Citations (Scopus)