The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.

Yang K, Musio F, Ma Y, Juchler N, Paetzold JC, Al-Maskari R, Höher L, Li HB, Hamamci IE, Sekuboyina A, Shit S, Huang H, Prabhakar C, de la Rosa E, Wittmann B, Waldmannstetter D, Kofler F, Navarro F, Menten MJ, Ezhov I, Rueckert D, Vos IN, Ruigrok YM, Velthuis BK, Kuijf HJ, Shi P, Liu W, Ma T, Rokuss MR, Kirchhoff Y, Isensee F, Maier-Hein K, Zhu C, Zhao H, Bijlenga P, Hämmerli J, Wurster C, Westphal L, Bisschop J, Colombo E, Baazaoui H, Handelsmann HL, Makmur A, Hallinan J, Soundararajan A, Wiestler B, Kirschke JS, Riedel EO, Wiest R, Montagnon E, Letourneau-Guillon L, Oh K, Lee D, Aydin OU, Hilbert A, Rieger J, Rallios D, Tanioka S, Koch A, Frey D, Qayyum A, Mazher M, Niederer S, Disch N, Holzschuh JC, LaBella D, Galati F, Falcetta D, Zuluaga MA, Lin C, Zhao H, Zhang Z, Zhang M, You X, Zhang H, Yang GZ, Gu Y, Ra S, Hwang J, Park H, Chen J, Wodzinski M, Müller H, Mansouri N, Autrusseau F, Yalcin C, Hamadache RE, Lisazo C, Salvi J, Casamitjana A, Lladó X, Estrada UML, Abramova V, Giancardo L, Oliver A, Casademunt P, Galdran A, Delucchi M, Camara O, Liu J, Huang H, Cui Y, Lin Z, Liu Y, Zhu S, Patel TR, Siddiqui AH, Tutino VM, Orouskhani M, Wang H, Mossa-Basha M, Sato Y, Hirsch S, Wegener S, Menze B

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DOI: 10.1056/aidbp2500994
Published: 2026 Aug
Container: NEJM AI
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1056/aidbp2500994,
  title = {The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.},
  author = {Yang K and Musio F and Ma Y and Juchler N and Paetzold JC and Al-Maskari R and Höher L and Li HB and Hamamci IE and Sekuboyina A and Shit S and Huang H and Prabhakar C and de la Rosa E and Wittmann B and Waldmannstetter D and Kofler F and Navarro F and Menten MJ and Ezhov I and Rueckert D and Vos IN and Ruigrok YM and Velthuis BK and Kuijf HJ and Shi P and Liu W and Ma T and Rokuss MR and Kirchhoff Y and Isensee F and Maier-Hein K and Zhu C and Zhao H and Bijlenga P and Hämmerli J and Wurster C and Westphal L and Bisschop J and Colombo E and Baazaoui H and Handelsmann HL and Makmur A and Hallinan J and Soundararajan A and Wiestler B and Kirschke JS and Riedel EO and Wiest R and Montagnon E and Letourneau-Guillon L and Oh K and Lee D and Aydin OU and Hilbert A and Rieger J and Rallios D and Tanioka S and Koch A and Frey D and Qayyum A and Mazher M and Niederer S and Disch N and Holzschuh JC and LaBella D and Galati F and Falcetta D and Zuluaga MA and Lin C and Zhao H and Zhang Z and Zhang M and You X and Zhang H and Yang GZ and Gu Y and Ra S and Hwang J and Park H and Chen J and Wodzinski M and Müller H and Mansouri N and Autrusseau F and Yalcin C and Hamadache RE and Lisazo C and Salvi J and Casamitjana A and Lladó X and Estrada UML and Abramova V and Giancardo L and Oliver A and Casademunt P and Galdran A and Delucchi M and Camara O and Liu J and Huang H and Cui Y and Lin Z and Liu Y and Zhu S and Patel TR and Siddiqui AH and Tutino VM and Orouskhani M and Wang H and Mossa-Basha M and Sato Y and Hirsch S and Wegener S and Menze B},
  year = {2026},
  journal = {NEJM AI},
  doi = {10.1056/aidbp2500994},
  url = {https://doi.org/10.1056/aidbp2500994}
}

RIS

TY  - JOUR
TI  - The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.
AU  - Yang K
AU  - Musio F
AU  - Ma Y
AU  - Juchler N
AU  - Paetzold JC
AU  - Al-Maskari R
AU  - Höher L
AU  - Li HB
AU  - Hamamci IE
AU  - Sekuboyina A
AU  - Shit S
AU  - Huang H
AU  - Prabhakar C
AU  - de la Rosa E
AU  - Wittmann B
AU  - Waldmannstetter D
AU  - Kofler F
AU  - Navarro F
AU  - Menten MJ
AU  - Ezhov I
AU  - Rueckert D
AU  - Vos IN
AU  - Ruigrok YM
AU  - Velthuis BK
AU  - Kuijf HJ
AU  - Shi P
AU  - Liu W
AU  - Ma T
AU  - Rokuss MR
AU  - Kirchhoff Y
AU  - Isensee F
AU  - Maier-Hein K
AU  - Zhu C
AU  - Zhao H
AU  - Bijlenga P
AU  - Hämmerli J
AU  - Wurster C
AU  - Westphal L
AU  - Bisschop J
AU  - Colombo E
AU  - Baazaoui H
AU  - Handelsmann HL
AU  - Makmur A
AU  - Hallinan J
AU  - Soundararajan A
AU  - Wiestler B
AU  - Kirschke JS
AU  - Riedel EO
AU  - Wiest R
AU  - Montagnon E
AU  - Letourneau-Guillon L
AU  - Oh K
AU  - Lee D
AU  - Aydin OU
AU  - Hilbert A
AU  - Rieger J
AU  - Rallios D
AU  - Tanioka S
AU  - Koch A
AU  - Frey D
AU  - Qayyum A
AU  - Mazher M
AU  - Niederer S
AU  - Disch N
AU  - Holzschuh JC
AU  - LaBella D
AU  - Galati F
AU  - Falcetta D
AU  - Zuluaga MA
AU  - Lin C
AU  - Zhao H
AU  - Zhang Z
AU  - Zhang M
AU  - You X
AU  - Zhang H
AU  - Yang GZ
AU  - Gu Y
AU  - Ra S
AU  - Hwang J
AU  - Park H
AU  - Chen J
AU  - Wodzinski M
AU  - Müller H
AU  - Mansouri N
AU  - Autrusseau F
AU  - Yalcin C
AU  - Hamadache RE
AU  - Lisazo C
AU  - Salvi J
AU  - Casamitjana A
AU  - Lladó X
AU  - Estrada UML
AU  - Abramova V
AU  - Giancardo L
AU  - Oliver A
AU  - Casademunt P
AU  - Galdran A
AU  - Delucchi M
AU  - Camara O
AU  - Liu J
AU  - Huang H
AU  - Cui Y
AU  - Lin Z
AU  - Liu Y
AU  - Zhu S
AU  - Patel TR
AU  - Siddiqui AH
AU  - Tutino VM
AU  - Orouskhani M
AU  - Wang H
AU  - Mossa-Basha M
AU  - Sato Y
AU  - Hirsch S
AU  - Wegener S
AU  - Menze B
PY  - 2026
JO  - NEJM AI
DO  - 10.1056/aidbp2500994
UR  - https://doi.org/10.1056/aidbp2500994
ER  -

APA

K, Y., F, M., Y, M., N, J., JC, P., R, A., L, H., HB, L., IE, H., A, S., S, S., H, H., C, P., E, D. L. R., B, W., D, W., F, K., F, N., MJ, M., I, E., D, R., IN, V., YM, R., BK, V., HJ, K., P, S., W, L., T, M., MR, R., Y, K., F, I., K, M., C, Z., H, Z., P, B., J, H., C, W., L, W., J, B., E, C., H, B., HL, H., A, M., J, H., A, S., B, W., JS, K., EO, R., R, W., E, M., L, L., K, O., D, L., OU, A., A, H., J, R., D, R., S, T., A, K., D, F., A, Q., M, M., S, N., N, D., JC, H., D, L., F, G., D, F., MA, Z., C, L., H, Z., Z, Z., M, Z., X, Y., H, Z., GZ, Y., Y, G., S, R., J, H., H, P., J, C., M, W., H, M., N, M., F, A., C, Y., RE, H., C, L., J, S., A, C., X, L., UML, E., V, A., L, G., A, O., P, C., A, G., M, D., O, C., J, L., H, H., Y, C., Z, L., Y, L., S, Z., TR, P., AH, S., VM, T., M, O., H, W., M, M., Y, S., S, H., S, W., & B, M. (2026). The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.. NEJM AI. https://doi.org/10.1056/aidbp2500994

Source records

pubmed · retrieved 2026-09-25T02:39:53.126Z
hal · retrieved 2026-09-25T02:39:53.181Z