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Divyanshu Tak

 https://orcid.org/0009-0003-4183-209X
20242026

Research activity per year

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Collaborations and top research areas from the last five years

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  • 2 Article
  • 1 Conference article in proceeding

  • TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthood

    Mandzak, M., Yang, E., Zapaishchykova, A., Chen, Y.-H., Heilbroner, L., Zielke, J., Tak, D., Mojahed-Yazdi, R., Mussa, F. R., Ye, Z., Vajapeyam, S., Benitez, V., Salloum, R., Chi, S. N., Sotoudeh, H., Seidlitz, J., Mueller, S., Aerts, H. J. W. L., Poussaint, T. Y. & Kann, B. H., 5 Jan 2026, In: Imaging Neuroscience. 4, 17 p., IMAGa1067.

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

    Open Access

  • SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People

    Zapaishchykova, A., Kann, B. H., Tak, D., Ye, Z., Haas-Kogan, D. A. & Aerts, H. J. W. L., 2025, Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer Verlag, Vol. 15224 LNCS. p. 75-86 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15224 LNCS).

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

  • Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning

    Tak, D., Ye, Z., Zapaischykova, A., Zha, Y., Boyd, A., Vajapeyam, S., Chopra, R., Hayat, H., Prabhu, S., Liu, K. X., Elhalawani, H., Nabavizadeh, A., Familiar, A., Resnick, A., Mueller, S., Aerts, H. J. W. L., Bandopadhayay, P., Ligon, K., Haas-Kogan, D. & Poussaint, T. & 1 others, Kann, B. H., May 2024, In: Radiology: Artificial Intelligence. 6, 3, e230333.

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

    Open Access
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