Sean Benson

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Sean Benson

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

Research activity per year

Search results

  • 2024

    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
  • 2023

    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)

  • CIRSE Position Paper on Artificial Intelligence in Interventional Radiology

    Najafi, A., Cazzato, R. L., Meyer, B. C., Pereira, P. L., Alberich, A., López, A., Ronot, M., Fritz, J., Maas, M., Benson, S., Haage, P. & Gomez Munoz, F., Oct 2023, In: Cardiovascular and interventional radiology. 46, 10, p. 1303-1307 5 p.

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

    3 Citations (Scopus)

  • Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation

    van der Reijd, D. J., Guerendel, C., Staal, F. C. R., Busard, M. P., de Oliveira Taveira, M., Klompenhouwer, E. G., Kuhlmann, K. F. D., Moelker, A., Verhoef, C., Starmans, M. P. A., Lambregts, D. M. J., Beets-Tan, R. G. H., Benson, S. & Maas, M., 2023, (E-pub ahead of print) In: European Radiology.

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

    Open Access
    1 Citation (Scopus)
  • 2022

    Advances in Magnetic Resonance Technology and Applications

    Benson, S. H., 2022, Breast MRI. (Advances in Magnetic Resonance Technology and Applications).

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

  • Federated learning enables big data for rare cancer boundary detection

    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., 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., 5 Dec 2022, In: Nature communications. 13, 1, p. 7346

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

  • Imaging of colorectal nodal disease

    Cai, L., Bodalal, Z., Trebeschi, S., Waktola, S., Sluckin, T. C., Kusters, M., Maas, M., Beets-Tan, R. & Benson, S., 1 Jan 2022, The Lymphatic System in Colorectal Cancer: Basic Concepts, Pathology, Imaging, and Treatment Perspectives. Elsevier, p. 75-88 14 p. (The Lymphatic System in Colorectal Cancer: Basic Concepts, Pathology, Imaging, and Treatment Perspectives).

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

    1 Citation (Scopus)
  • 2021

    An improved automatic system for aiding the detection of colon polyps using deep learning

    Cai, L., Beets-Tan, R. & Benson, S., 2021, BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., (BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings).

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

    Open Access
    2 Citations (Scopus)
  • 2020

    Erratum to: Measurement of ψ(2 S) meson production in pp collisions at s = 7 TeV (The European Physical Journal C, (2012), 72, 8, (2100), 10.1140/epjc/s10052-012-2100-4)

    LHCb Collaboration, 1 Jan 2020, In: European Physical Journal C. 80, 1, 49.

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

    Open Access
    6 Citations (Scopus)

  • Measurement of CP violation in B 0 → D ∗± D ∓ decays

    The LHCb Collaboration, 1 Mar 2020, In: JOURNAL OF HIGH ENERGY PHYSICS. 2020, 3, 147.

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

    Open Access
    11 Citations (Scopus)
  • 2019

    NNDrone: A toolkit for the mass application of machine learning in High Energy Physics

    Benson, S. & Gizdov, K., Jul 2019, In: Computer Physics Communications. 240, p. 15-20 6 p.

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

    Open Access
    2 Citations (Scopus)

  • Real-time discrimination of photon pairs using machine learning at the LHC

    Benson, S., Vidal, A. C., Vidal, X. C. & Navarro, A. P., Nov 2019, In: SciPost Physics. 7, 5, 062.

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

    Open Access
    2 Citations (Scopus)

  • Time Dependent CPV in the Beauty Sector

    Benson, S., 2019, 16th Conference on Flavor Physics and CP Violation - FPCP 2018. Giri, A. & Mohanta, R. (eds.). Springer, p. 225-233 9 p. (Springer Proceedings in Physics; vol. 234).

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

    Open Access