Search results

• 2024

  Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study) Neuro-Oncology

  Chelliah, A. & Booth, T. C., 25 Jan 2024, (Accepted/In press) In: NEURO-ONCOLOGY.

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

  Open Access

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  218 Downloads (Pure)
• 2023

  Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium

  ZGBM consortium, 1 Jan 2023, In: British Journal of Radiology. 96, 1141, 20220206.

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

  Open Access

  File

  • Structural Imaging 100%
  • Magnetic Resonance Imaging 33%
  2 Citations (Scopus)

  79 Downloads (Pure)
• 2022

  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 others, Bendszus, 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., Quintero, C. B., 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, 7346 .

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

  Open Access

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  • Malignant Neoplasm 100%
  • Federated Learning 100%
  • Boundary Detection 100%
  • Orphan Disorder 100%
  • Neoplasm 75%
  154 Citations (Scopus)

  104 Downloads (Pure)

• Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies" has been approved for production and accepted for publication in Frontiers in Oncology, section Cancer Imaging and Image-directed Interventions

  Booth, T. C., Grzeda, M., Chelliah, A., Roman, A., Al busaidi, A., Dragos, C., Shuaib, H., Luis, A., Mirchandani, A., Alparslan, B., Mansoor, N., Lavrador, J., Vergani, F., Ashkan, K., Modat, M. & Ourselin, S., 2022, In: Frontiers in oncology. 12

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

  Open Access
  27 Citations (Scopus)
• 2020

  Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

  Booth, T., Akpinar, B., Roman, A., Shuaib, H., Luis, A., Chelliah, A., Al Busaidi, A., Mirchandani, A., Alparslan, B., Mansoor, N., Ashkan, K., Ourselin, S. & Modat, M., 31 Dec 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.. Springer Nature Switzerland AG

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
  3 Citations (Scopus)