King's College London

Research portal

Jacqueline Matthew

  1. An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey

    Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K. Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. & McFadden, S., Sep 2022, In: Journal of Medical Imaging and Radiation Sciences. 53, 3, p. 347-361 15 p.

    Research output: Contribution to journalArticlepeer-review

  2. Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses

    Davidson, J., Uus, A., Egloff, A., van Poppel, M., Matthew, J., Steinweg, J., Deprez, M., Aertsen, M., Deprest, J. & Rutherford, M., May 2022, In: Prenatal Diagnosis. 42, 5, p. 628-635 8 p.

    Research output: Contribution to journalArticlepeer-review

  3. Fetal magnetic resonance imaging (MRI) enhances the diagnosis of congenital body anomalies

    Davidson, J. R., Brennan, K., Matthew, J., Hesketh, Z., Lloyd, D., Egloff, A., Yardley, I. E., Rutherford, M. A. & Story, L., Feb 2022, In: Journal of Pediatric Surgery. 57, 2, p. 239-244 6 p.

    Research output: Contribution to journalArticlepeer-review

  4. Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers

    Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K. Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., McFadden, S. & Malamateniou, C., 11 Nov 2021, In: Frontiers in digital health. 3, 739327.

    Research output: Contribution to journalArticlepeer-review

  5. Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

    Malamateniou, C., McFadden, S., McQuinlan, Y., England, A., Woznitza, N., Goldsworthy, S., Currie, C., Skelton, E., Chu, K. Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C. & O'Regan, T., Nov 2021, In: Radiography. 27, 4, p. 1192-1202 11 p.

    Research output: Contribution to journalArticlepeer-review

  6. Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison

    Skelton, E., Matthew, J., Li, Y., Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V. & Rutherford, M., 1 May 2021, In: Radiography. 27, 2, p. 519-526 8 p.

    Research output: Contribution to journalArticlepeer-review

  7. 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 proceedingConference paperpeer-review

  8. 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 proceedingConference paperpeer-review

  9. Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI

    Uus, A., Matthew, J., Grigorescu, I., Jupp, S., Grande, L. C., Price, A., Hughes, E., Patkee, P., Kyriakopoulou, V., Wright, R., Roberts, T., Hutter, J., Pietsch, M., Hajnal, J. V., Edwards, A. D., Rutherford, M. A. & Deprez, M., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 168-178 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  10. Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

    Magnetti, C., Zimmer, V., Ghavami, N., Skelton, E., Matthew, J., Lloyd, K., Hajnal, J., Schnabel, J. A. & Gomez, A., 1 Jan 2020, Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings. Papiez, B. W., Namburete, A. I. L., Yaqub, M., Noble, J. A. & Yaqub, M. (eds.). SPRINGER, p. 423-435 13 p. (Communications in Computer and Information Science; vol. 1248 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  11. A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation

    Zimmer, V. A., Gomez, A., Skelton, E., Ghavami, N., Wright, R., Li, L., Matthew, J., Hajnal, J. V. & Schnabel, J. A., 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. 264-273 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 proceedingConference paperpeer-review

  12. Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging

    Meng, Q., Sinclair, M., Zimmer, V., Hou, B., Rajchl, M., Toussaint, N., Oktay, O., Schlemper, J., Gomez, A., Housden, J., Matthew, J., Rueckert, D., Schnabel, J. A. & Kainz, B., 1 Dec 2019, In: IEEE transactions on medical imaging. 38, 12, p. 2755-2767 13 p., 8698843.

    Research output: Contribution to journalArticlepeer-review

  13. Complete Fetal Head Compounding from Multi-view 3D Ultrasound

    Wright, R., Toussaint, N., Gomez, A., Zimmer, V., Khanal, B., Matthew, J., Skelton, E., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 384-392 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  14. Confident head circumference measurement from ultrasound with real-time feedback for sonographers

    Budd, S., Sinclair, M., Khanal, B., Matthew, J., Lloyd, D., Gomez, A., Toussaint, N., Robinson, E. C. & Kainz, B., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 683-691 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  15. Fetal Skull Reconstruction via Deep Convolutional Autoencoders

    Cerrolaza, J. J., Li, Y., Biffi, C., Gomez, A., Matthew, J., Sinclair, M., Gupta, C., Knight, C. L. & Rueckert, D., 26 Oct 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. p. 887-890 4 p. 8512282

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  16. Deep learning with ultrasound physics for fetal skull segmentation

    Cerrolaza, J. J., Sinclair, M., Li, Y., Gomez, A., Ferrante, E., Matthew, J., Gupta, C., Knight, C. L. & Rueckert, D., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 564-567 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  17. 3D fetal skull reconstruction from 2DUS via deep conditional generative networks

    Cerrolaza, J. J., Li, Y., Biffi, C., Gomez, A., Sinclair, M., Matthew, J., Knight, C., Kainz, B. & Rueckert, D., 1 Jan 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 383-391 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  18. Automatic shadow detection in 2D ultrasound images

    Meng, Q., Baumgartner, C., Sinclair, M., Housden, J., Rajchl, M., Gomez, A., Hou, B., Toussaint, N., Zimmer, V., Tan, J., Matthew, J., Rueckert, D., Schnabel, J. & Kainz, B., 1 Jan 2018, Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings. Springer Verlag, p. 66-75 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11076 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  19. Weakly supervised localisation for fetal ultrasound images

    Toussaint, N., Khanal, B., Sinclair, M., Gomez, A., Skelton, E., Matthew, J. & Schnabel, J. A., 1 Jan 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). Springer Verlag, p. 192-200 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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