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ORCIDKaiyuan Yang 0003
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Kaiyuan Yang — disambiguation page
- Kaiyuan Yang 0001
![[0000-0001-7220-9389]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7220-9389")
— Rice University, Houston, TX, USA (and 1 more) - Kaiyuan Yang 0002 — University of Sheffield, Sheffield, UK
- Kaiyuan Yang 0004 — Sichuan University, College of Computer Science, Chengdu, China
- Kaiyuan Yang 0005 — University of Zürich, Switzerland
- Kaiyuan Yang 0006 — Beihang University, State Key Laboratory of Software Development Environment, Beijing, China
- Kaiyuan Yang 0007 — Xi'an Jiaotong-Liverpool University, School of Advanced Technology, Suzhou, China
- Kaiyuan Yang 0008 — Information Engineering University, Zhengzhou, China
- Kaiyuan Yang 0009 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Department of Automation, China
- Kaiyuan Yang 0010 — Kuaishou Technology
- Kaiyuan Yang 0011 — Shanghai Jiao Tong University, School of Chemistry and Chemical Engineering, China
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2020 – today
- 2025
[j1]Iris N. Vos, Ynte M. Ruigrok, Edwin Bennink, Mireille R. E. Velthuis, Barbara Paic, Maud E. H. Ophelders, Myrthe A. D. Buser, Bas H. M. van der Velden, Chen Geng, Matthieu Coupet, Félix Dumais, Adrian Galdran, Junyi Zhang, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K. P., Keerthi A. S. Pillai, Pengcheng Shi, Thierry Urruty, Yakang Dai, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf:
Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. Medical Image Anal. 105: 103650 (2025)- [c6]Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert:
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization. ShapeMI@MICCAI 2025: 247-261 - [c5]Daniele Falcetta, Vincenzo Marcianó, Kaiyuan Yang, Jon O. Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern H. Menze, Maria A. Zuluaga:
VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation. MICCAI (13) 2025: 655-665 - [i10]Ying Chen, Rami Al-Maskari, Izabela Horvath, Mayar Ali, Luciano Höher, Kaiyuan Yang, Zengming Lin, Zhiwei Zhai, Mengzhe Shen, Dejin Xun, Yi Wang, Tony Xu, Maged Goubran, Yunheng Wu, Kensaku Mori, Johannes C. Paetzold, Ali Ertürk:
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation. CoRR abs/2501.03880 (2025) - [i9]Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert:
Parametric shape models for vessels learned from segmentations via differentiable voxelization. CoRR abs/2507.02576 (2025) - [i8]Fabio Musio, Norman Juchler, Kaiyuan Yang, Suprosanna Shit, Chinmay Prabhakar, Bjoern H. Menze, Sven Hirsch:
Circle of Willis Centerline Graphs: A Dataset and Baseline Algorithm. CoRR abs/2510.13720 (2025) - 2024
- [c4]Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze:
3D Vessel Graph Generation Using Denoising Diffusion. MICCAI (11) 2024: 3-13 - [i7]Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze:
3D Vessel Graph Generation Using Denoising Diffusion. CoRR abs/2407.05842 (2024) - [i6]Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes, Roland Wiest, Evamaria Olga Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. CoRR abs/2408.10966 (2024) - [i5]Evamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, Moritz Roman Hernandez Petzsche, Hakim Baazaoui, Kaiyuan Yang, David Robben, Joaquin Oscar Seia, Roland Wiest, Mauricio Reyes, Ruisheng Su, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Bjoern H. Menze, Benedikt Wiestler, Susanne Wegener, Jan S. Kirschke:
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. CoRR abs/2408.11142 (2024) - 2023
- [i4]Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [i3]Kaiyuan Yang, Houjing Huang, Olafs Vandans, Adithya Murali, Fujia Tian, Roland H. C. Yap, Liang Dai:
Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction. CoRR abs/2211.14939 (2022) - 2021
- [c3]Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi:
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. MICCAI (2) 2021: 394-404 - [c2]Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi:
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia 2021: 1293-1302 - [i2]Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi:
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. CoRR abs/2108.02572 (2021) - 2020
- [c1]Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans:
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. ICDE 2020: 1718-1721 - [i1]Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans:
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. CoRR abs/2004.07585 (2020)
Coauthor Index
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