Daniel Marcus

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Daniel Marcus

Professor of Radiology

 https://orcid.org/0000-0001-5662-5358

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    Available to Mentor:

    PhD/MSTP Students

    • 12998
      Citations
    20022023

    Research activity per year

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    Personal profile

    Research interests

    Dr. Marcus’ laboratory builds imaging informatics and analysis tools, with a particular focus on neuroimaging. The laboratory has developed the XNAT imaging informatics platform (www.xnat.org), open source software used in facilities around the world to manage and share neuroimaging and related data. Dr. Marcus directs a number of service cores at the University, including for the Alzheimer’s Disease Research Center, the Intellectual Developmental Disabilities Research Center, and NINDS Center Core for Brain Imaging. He’s also an investigator in several NIH-backed initiatives to develop a national informatics infrastructure, including the Biomedical Informatics Research Network (BIRN), the National Alliance for Medical Image Computing (NAMIC), and Informatics for Integrating Biology and the Bedside (I2B2).

    Available to Mentor:

    • PhD/MSTP Students

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    • Associations between near end-of-life flortaucipir PET and postmortem CTE-related tau neuropathology in six former American football players

      for the DIAGNOSE C. T. E. Research Project, Jan 2023, In: European Journal of Nuclear Medicine and Molecular Imaging. 50, 2, p. 435-452 18 p.

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

      Open Access
      1 Scopus citations

    • 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., 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., Dec 2023, In: Nature communications. 14, 1, 436.

      Research output: Contribution to journal › Comment/debate

      Open Access

    • Biomarker clustering in autosomal dominant Alzheimer's disease

      for the Dominantly Inherited Alzheimer Network (DIAN), Jan 2023, In: Alzheimer's and Dementia. 19, 1, p. 274-284 11 p.

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

    • Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO)

      Chakrabarty, S., Abidi, S. A., Mousa, M., Mokkarala, M., Hren, I., Yadav, D., Kelsey, M., LaMontagne, P., Wood, J., Adams, M., Su, Y., Thorpe, S., Chung, C., Sotiras, A. & Marcus, D., May 1 2023, In: JCO Clinical Cancer Informatics. 7, p. e2200177

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

    • Accelerating Prediction of Malignant Cerebral Edema After Ischemic Stroke with Automated Image Analysis and Explainable Neural Networks

      Foroushani, H. M., Hamzehloo, A., Kumar, A., Chen, Y., Heitsch, L., Slowik, A., Strbian, D., Lee, J. M., Marcus, D. S. & Dhar, R., Apr 2022, In: Neurocritical Care. 36, 2, p. 471-482 12 p.

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

      6 Scopus citations
    View all 108 Research outputs