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Aaron Kujawa

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  • 75
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  • Automated longitudinal treatment response assessment of brain tumors: a systematic review

    Shi, T., Kujawa, A., Linares, C., Vercauteren, T. & Booth, T. C., 12 Feb 2025, (E-pub ahead of print) In: Neuro-oncology.

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

    Open Access

  • Cluster Dice: A simple and fast approach for instance-based semantic segmentation evaluation via many-to-many matching

    Kundu, S. S., Kujawa, A., Ivory, M., Barfoot, T., Shapey, J. & Vercauteren, T., 4 Apr 2025, Medical Imaging 2025: Computer-Aided Diagnosis. Astley, S. M. & Wismuller, A. (eds.). SPIE, 1340711. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13407).

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

  • Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI

    Kujawa, A., Dorent, R., Connor, S., Thomson, S., Ivory, M., Vahedi, A., Guilhem, E., Wijethilake, N., Bradford, R., Kitchen, N., Bisdas, S., Ourselin, S., Vercauteren, T. & Shapey, J., 9 May 2024, In: Frontiers in Computational Neuroscience. 18, 1365727.

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

    Open Access
    4 Citations (Scopus)

  • Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

    Kujawa, A., Dorent, R., Ourselin, S. & Vercauteren, T., 2024, (Accepted/In press) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

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

  • MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.

    Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., Qu, C., Zhang, T., Chen, X., Li, W., Wodzinski, M., Friedrich, P., Xie, K., Jin, Y., Ambigapathy, N., Nasca, E., Solak, N., Melito, G. M., Vu, V. D. & Memon, A. R. & 137 others, Schlachta, C., De Ribaupierre, S., Patel, R., Eagleson, R., Chen, X., Mächler, H., Kirschke, J. S., de la Rosa, E., Christ, P. F., Li, H. B., Ellis, D. G., Aizenberg, M. R., Gatidis, S., Küstner, T., Shusharina, N., Heller, N., Andrearczyk, V., Depeursinge, A., Hatt, M., Sekuboyina, A., Löffler, M. T., Liebl, H., Dorent, R., Vercauteren, T., Shapey, J., Kujawa, A., Cornelissen, S., Langenhuizen, P., Ben-Hamadou, A., Rekik, A., Pujades, S., Boyer, E., Bolelli, F., Grana, C., Lumetti, L., Salehi, H., Ma, J., Zhang, Y., Gharleghi, R., Beier, S., Sowmya, A., Garza-Villarreal, E. A., Balducci, T., Angeles-Valdez, D., Souza, R., Rittner, L., Frayne, R., Ji, Y., Ferrari, V., Chatterjee, S., Dubost, F., Schreiber, S., Mattern, H., Speck, O., Haehn, D., John, C., Nürnberger, A., Pedrosa, J., Ferreira, C., Aresta, G., Cunha, A., Campilho, A., Suter, Y., Garcia, J., Lalande, A., Vandenbossche, V., Van Oevelen, A., Duquesne, K., Mekhzoum, H., Vandemeulebroucke, J., Audenaert, E., Krebs, C., van Leeuwen, T., Vereecke, E., Heidemeyer, H., Röhrig, R., Hölzle, F., Badeli, V., Krieger, K., Gunzer, M., Chen, J., van Meegdenburg, T., Dada, A., Balzer, M., Fragemann, J., Jonske, F., Rempe, M., Malorodov, S., Bahnsen, F. H., Seibold, C., Jaus, A., Marinov, Z., Jaeger, P. F., Stiefelhagen, R., Santos, A. S., Lindo, M., Ferreira, A., Alves, V., Kamp, M., Abourayya, A., Nensa, F., Hörst, F., Brehmer, A., Heine, L., Hanusrichter, Y., Weßling, M., Dudda, M., Podleska, L. E., Fink, M. A., Keyl, J., Tserpes, K., Kim, M.-S., Elhabian, S., Lamecker, H., Zukić, D., Paniagua, B., Wachinger, C., Urschler, M., Duong, L., Wasserthal, J., Hoyer, P. F., Basu, O., Maal, T., Witjes, M. J. H., Schiele, G., Chang, T.-C., Ahmadi, S.-A., Luo, P., Menze, B., Reyes, M., Deserno, T. M., Davatzikos, C., Puladi, B., Fua, P., Yuille, A. L., Kleesiek, J. & Egger, J., 30 Dec 2024, (E-pub ahead of print) In: Biomedizinische Technik. Biomedical engineering.

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

    3 Citations (Scopus)
View all 10 research outputs