Ruisheng Su
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autoTICI: automatic brain tissue reperfusion scoring on 2D DSA images of acute ischemic stroke patients
R Su, SAP Cornelissen, M Van der Sluijs, ACGM Van Es, WH Van Zwam, ...
IEEE transactions on medical imaging 40 (9), 2380-2391, 2021
Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy
R Su, M van der Sluijs, SAP Cornelissen, G Lycklama, J Hofmeijer, ...
Medical image analysis 77, 102377, 2022
2.75 D: Boosting learning by representing 3D Medical imaging to 2D features for small data
X Wang, R Su, W Xie, W Wang, Y Xu, R Mann, J Han, T Tan
Biomedical Signal Processing and Control 84, 104858, 2023
CAVE: Cerebral artery–vein segmentation in digital subtraction angiography
R Su, PM van der Sluijs, Y Chen, S Cornelissen, R van den Broek, ...
Computerized Medical Imaging and Graphics 115, 102392, 2024
Where is VALDO? VAscular lesions detection and segmentation challenge at MICCAI 2021
CH Sudre, K Van Wijnen, F Dubost, H Adams, D Atkinson, F Barkhof, ...
Medical Image Analysis 91, 103029, 2024
Automated deep learning–based segmentation of abdominal adipose tissue on Dixon MRI in adolescents: a prospective population-based study
T Wu, S Estrada, R van Gils, R Su, VWV Jaddoe, EHG Oei, S Klein
American Journal of Roentgenology 222 (1), e2329570, 2024
Safety and efficacy of periprocedural antithrombotics in patients with successful reperfusion after endovascular stroke treatment
W van der Steen, PM van der Sluijs, RA van de Graaf, R Su, L Wolff, ...
Journal of Stroke and Cerebrovascular Diseases 31 (10), 106726, 2022
DIAS: A Comprehensive Benchmark for DSA-sequence Intracranial Artery Segmentation
W Liu, T Tian, L Wang, W Xu, H Li, W Zhao, X Pan, H Yang, F Gao, ...
arXiv preprint arXiv:2306.12153, 2023
Automatic artery/vein classification in 2D-DSA images of stroke patients
V Van Asperen, J Van Den Berg, F Lycklama, V Marting, S Cornelissen, ...
Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and …, 2022
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning
X Wang, T Tan, Y Gao, L Han, T Zhang, C Lu, R Beets-Tan, R Su, R Mann
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Towards quantitative digital subtraction perfusion angiography: An animal study
R Su, PM van der Sluijs, J Bobi, A Taha, HMM van Beusekom, ...
Medical Physics 50 (7), 4055-4066, 2023
Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history
X Wang, T Tan, Y Gao, R Su, T Zhang, L Han, J Teuwen, A D'Angelo, ...
medRxiv, 2023.06. 28.23291994, 2023
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images
W Xu, H Yang, Y Shi, T Tan, W Liu, X Pan, Y Deng, F Gao, R Su
IEEE Journal of Biomedical and Health Informatics, 2023
AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography
R Su, M van der Sluijs, S Cornelissen, W van Zwam, A van der Lugt, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
Q Xie, M Guo, L Mou, D Zhang, D Chen, C Shan, Y Zhao, R Su, J Zhang
arXiv preprint arXiv:2406.00341, 2024
UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation
W Liu, B Liang, W Xu, T Tian, Q Lu, X Pan, H Li, S Tian, H Yang, R Su
arXiv preprint arXiv:2403.05753, 2024
Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning
W Liu, T Tian, W Xu, B Liang, Q Lu, X Pan, W Zhao, H Yang, R Su
arXiv preprint arXiv:2403.05748, 2024
An automated framework for brain vessel centerline extraction from CTA images
S Liu, R Su, J Su, J Xin, J Wu, W van Zwam, PJ van Doormaal, ...
arXiv preprint arXiv:2401.07041, 2024
An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation
W Xu, Z Sha, H Yang, R Jiang, Z Li, W Liu, R Su
arXiv preprint arXiv:2401.04570, 2024
Quantification of hypsarrhythmia in infantile spasmatic EEG: a large cohort study
R Hou, Q Guo, Q Wu, Z Zhao, X Hu, Y Yan, W He, P Lyu, R Su, T Tan, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
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