Sean Benson

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Sean Benson

 https://orcid.org/0000-0003-4819-779X
20192024

Research activity per year

Personal profile

Research interests

Sean Benson received his first degree in Mathematics and Physics before pursuing a PhD in Particle Physics working at the Large Hadron Collider in CERN, Geneva. Primarily specialising in physics analysis and the development of novel low-latency artificial intelligence (AI), Sean moved to Amsterdam as part of a Marie Curie Individual Fellowship, after which he joined the Advanced Analytics and Big Data team of KPMG to implement a variety of AI models in cloud infrastructure. Sean then returned to academic research to develop AI models from medical imaging for the early detection of residual cancer at the Netherlands Cancer Institute. Sean joined the Amsterdam UMC in 2023 in order to pursue and interest in digital twinning and generative AI. Sean’s current research focuses on the use of synthetic data and digital twins to improve the calculation of cardiovascular disease risk and intervention simulation.

specialisation

Medical imaging
CNN / Transformer models
Generative AI
Multi-modal models

Education/Academic qualification

PhD, Particle Physics, University of Edinburgh

Award Date: 28 Jun 2014

Master, Mathematics and Physics, King's College London

Award Date: 1 Aug 2010

External positions

Research Fellow, The Netherlands Cancer Institute, Department of Radiology

1 May 2020 → …

Collaborations and top research areas from the last five years

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  • An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

    Benson, S. H., Dec 2024, In: npj Precision Oncology. 8, 1, 17.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access

  • Editorial: In vivo and in situ imaging for characterization of colorectal cancer

    Benson, S. H., 2024, In: Frontiers in Gastroenterology.

    Research output: Contribution to journal › Editorial › Academic › peer-review

    Open Access

  • Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers?

    Benson, S. H., Mar 2024, In: European Journal of Radiology. 172, 111346.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access

  • A Deep Learning Framework with Explainability for the Prediction of Lateral Locoregional Recurrences in Rectal Cancer Patients with Suspicious Lateral Lymph Nodes

    Sluckin, T. C., Hekhuis, M., Kol, S. Q., Nederend, J., Horsthuis, K., Beets-Tan, R. G. H., Beets, G. L., Burger, J. W. A., Tuynman, J. B., Rutten, H. J. T., Kusters, M. & Benson, S., 1 Oct 2023, In: Diagnostics. 13, 19, 3099.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    1 Citation (Scopus)

  • Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)

    Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Balaña, C., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V. C., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 1 Dec 2023, In: Nature communications. 14, 1, 436.

    Research output: Contribution to journal › Comment/Letter to the editor › Academic

    Open Access
    1 Citation (Scopus)
View all 16 research outputs