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Journal Articles
- 2024
[j9]Vincent J. W. Hellebrekers, Theo van Walsum
, Ihor Smal, Sandra A. P. Cornelissen, Wim H. van Zwam, Aad van der Lugt, Matthijs van der Sluijs, Ruisheng Su:
Automated image registration of cerebral digital subtraction angiography. Int. J. Comput. Assist. Radiol. Surg. 19(1): 147-150 (2024)- [j8]Ruisheng Su, Matthijs van der Sluijs, Yuan Chen, Sandra A. P. Cornelissen, Ruben van den Broek, Wim H. van Zwam, Aad van der Lugt, Wiro J. Niessen, Danny Ruijters, Theo van Walsum:
CAVE: Cerebral artery-vein segmentation in digital subtraction angiography. Comput. Medical Imaging Graph. 115: 102392 (2024) - 2023
- [j7]Nerea Arrarte Terreros, Silvia Renon, Francesca Zucchelli, Sara Bridio, José Felix Rodriguez Matas, Gabriele Dubini, Praneeta Konduri, Miou S. Koopman, Wim H. van Zwam, Lonneke S. F. Yo, Rob H. Lo, Henk A. Marquering, Ed van Bavel, Charles B. L. M. Majoie, Francesco Migliavacca, Giulia Luraghi:
Microcatheter tracking in thrombectomy procedures: A finite-element simulation study. Comput. Methods Programs Biomed. 234: 107515 (2023) - [j6]Jiahang Su, Shuai Li, Lennard Wolff, Wim H. van Zwam, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum:
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images. Medical Image Anal. 84: 102724 (2023) - 2021
- [j5]N. Kappelhof, Lucas Alexandre Ramos, M. Kappelhof, Hendrikus J. A. van Os, V. Chalos, K. R. van Kranendonk, N. D. Kruyt, Yvo B. W. E. M. Roos, Wim H. van Zwam, Irene C. van der Schaaf, Marianne A. A. van Walderveen, Marieke J. H. Wermer, Robert J. van Oostenbrugge, Hester F. Lingsma, Diederik W. J. Dippel, Charles B. L. M. Majoie, Henk A. Marquering:
Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke. Comput. Biol. Medicine 133: 104414 (2021) - [j4]Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs, Adriaan C. G. M. van Es, Wim H. van Zwam, Diederik W. J. Dippel, Geert J. Lycklama, Pieter Jan van Doormaal, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum:
autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients. IEEE Trans. Medical Imaging 40(9): 2380-2391 (2021) - 2020
- [j3]David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens:
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. Medical Image Anal. 59 (2020) - [j2]Jiahang Su, Lennard Wolff, Adriaan C. G. M. van Es, Wim H. van Zwam, Charles B. L. M. Majoie, Diederik W. J. Dippel, Aad van der Lugt, Wiro J. Niessen, Theo van Walsum:
Automatic Collateral Scoring From 3D CTA Images. IEEE Trans. Medical Imaging 39(6): 2190-2200 (2020) - 2019
- [j1]Adam Hilbert, Lucas Alexandre Ramos, Hendrikus J. A. van Os, Sílvia D. Olabarriaga, Manon L. Tolhuisen, Marieke J. H. Wermer, Renan Sales Barros, Irene C. van der Schaaf, Diederik W. J. Dippel, Yvo B. W. E. M. Roos, Wim H. van Zwam, Albert J. Yoo, Bart J. Emmer, Geert J. Lycklama à Nijeholt, Aeilko H. Zwinderman, Gustav J. Strijkers, Charles B. L. M. Majoie, Henk A. Marquering:
Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. Comput. Biol. Medicine 115 (2019)
Conference and Workshop Papers
- 2023
- [c4]Ruisheng Su, Matthijs van der Sluijs, Sandra A. P. Cornelissen, Wim H. van Zwam, Aad van der Lugt, Wiro J. Niessen, Danny Ruijters, Theo van Walsum, Adrian V. Dalca:
AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. MICCAI (7) 2023: 770-780 - 2022
- [c3]Vivian van Asperen, Josefien van den Berg, Fleur Lycklama, Victoria Marting, Sandra A. P. Cornelissen, Wim H. van Zwam, Jeannette Hofmeijer, Aad van der Lugt, Theo van Walsum, Matthijs van der Sluijs, Ruisheng Su:
Automatic artery/vein classification in 2D-DSA images of stroke patients. Medical Imaging: Image-Guided Procedures 2022 - 2017
- [c2]Manon L. Tolhuisen, J. Enthoven, E. M. M. Santos, Wiro J. Niessen, L. F. M. Beenen, Diederik W. J. Dippel, Aad van der Lugt, Wim H. van Zwam, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Charles B. L. M. Majoie, Henk A. Marquering:
The Effect of Non-contrast CT Slice Thickness on Thrombus Density and Perviousness Assessment. CMMI/RAMBO/SWITCH@MICCAI 2017: 168-175 - [c1]Anna M. M. Boers, Renan Sales Barros, Ivo G. H. Jansen, Cornelis H. Slump, Diederik W. J. Dippel, Aad van der Lugt, Wim H. van Zwam, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Charles B. L. M. Majoie, Henk A. Marquering:
Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke. CMMI/RAMBO/SWITCH@MICCAI 2017: 176-184
Informal and Other Publications
- 2024
- [i4]Sijie Liu, Ruisheng Su, Jianghang Su, Jingmin Xin, Jiayi Wu, Wim H. van Zwam, Pieter Jan van Doormaal, Aad van der Lugt, Wiro J. Niessen, Nanning Zheng, Theo van Walsum:
An automated framework for brain vessel centerline extraction from CTA images. CoRR abs/2401.07041 (2024) - 2023
- [i3]Ruisheng Su, Matthijs van der Sluijs, Sandra A. P. Cornelissen, Wim H. van Zwam, Aad van der Lugt, Wiro J. Niessen, Danny Ruijters, Theo van Walsum, Adrian V. Dalca:
AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography. CoRR abs/2310.05445 (2023) - 2020
- [i2]Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs, Adriaan C. G. M. van Es, Wim H. van Zwam, Diederik W. J. Dippel, Geert J. Lycklama, Pieter Jan van Doormaal, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum:
autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients. CoRR abs/2010.01432 (2020) - 2018
- [i1]David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens:
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. CoRR abs/1812.02496 (2018)
Coauthor Index
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