ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. - Qian Lin 002; Kaiyuan Yang 003; Tien Tuan Anh Dinh; Qingchao Cai; Gang Chen 001; Beng Chin Ooi; Pingcheng Ruan; Sheng Wang 011; Zhongle Xie; Meihui Zhang 001; Olafs Vandans (ICDE, 2020)

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 015; Kaiyuan Yang 003; Meihui Zhang 001; Ling Ling Chan; Teck Khim Ng; Beng Chin Ooi (MICCAI (2), 2021)

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. - Naili Xing; Sai Ho Yeung; Chenghao Cai; Teck Khim Ng; Wei Wang 059; Kaiyuan Yang 003; Nan Yang; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi (ACM Multimedia, 2021)

Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction. - Kaiyuan Yang 003; Houjing Huang; Olafs Vandans; Adithya Murali; Fujia Tian; Roland H. C. Yap; Liang Dai (CoRR, 2022)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; 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; et al. (CoRR, 2023)

3D Vessel Graph Generation Using Denoising Diffusion. - Chinmay Prabhakar; Suprosanna Shit; Fabio Musio; Kaiyuan Yang 003; Tamaz Amiranashvili; Johannes C. Paetzold; Hongwei Bran Li; Bjoern H. Menze (MICCAI (11), 2024)

ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. - Ezequiel de la Rosa; Ruisheng Su; Mauricio Reyes 001; Roland Wiest; Evamaria Olga Riedel; Florian Kofler; Kaiyuan Yang 003; Hakim Baazaoui; David Robben; Susanne Wegener; Jan S. Kirschke; Benedikt Wiestler; et al. (CoRR, 2024)

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. - Evamaria Olga Riedel; Ezequiel de la Rosa; The Anh Baran; Moritz Roman Hernandez Petzsche; Hakim Baazaoui; Kaiyuan Yang 003; David Robben; Joaquin Oscar Seia; Roland Wiest; Mauricio Reyes 001; Ruisheng Su; Claus Zimmer; et al. (CoRR, 2024)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - 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 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation. - Ying Chen; Rami Al-Maskari; Izabela Horvath; Mayar Ali; Luciano Höher; Kaiyuan Yang 003; Zengming Lin; Zhiwei Zhai; Mengzhe Shen; Dejin Xun; Yi Wang; Tony Xu; et al. (CoRR, 2025)

Parametric shape models for vessels learned from segmentations via differentiable voxelization. - Alina F. Dima; Suprosanna Shit; Huaqi Qiu; Robbie Holland; Tamara T. Mueller; Fabio Musio; Kaiyuan Yang 003; Bjoern H. Menze; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert (CoRR, 2025)