Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. - Qi Chang; Zhennan Yan; Lohendran Baskaran; Hui Qu; Yikai Zhang 003; Tong Zhang 001; Shaoting Zhang 001; Dimitris N. Metaxas (CoRR, 2020)

Modality Bank: Learn multi-modality images across data centers without sharing medical data. - Qi Chang; Hui Qu; Zhennan Yan; Yunhe Gao; Lohendran Baskaran; Dimitris N. Metaxas (EMBC, 2022)

Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions. - Jed D. Pack; Mufeng Xu; Ge Wang 001; Lohendran Baskaran; James Min; Bruno De Man (Vis. Comput. Ind. Biomed. Art, 2022)

Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. - Xiaohong Wang; Shuang Leng; Zhongkang Lu; Su Huang; Beng Hai Lee; Lohendran Baskaran; Min Sen Yew; Lynette Li San Teo; M. Y. Chan; Kee Yuan Ngiam; Hwee Kuan Lee; Liang Zhong 001; et al. (EMBC, 2023)

Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images. - Jiangyun Li; Zhongkang Lu; Shuang Leng; Xiaohong Wang; Lohendran Baskaran; Min Sen Yew; Mark Chan; Lynette L. Teo; Kee Yuan Ngiam; Hwee Kuan Lee; Liang Zhong 001; Zhiping Lin 001; et al. (EMBC, 2024)

RICAU-NET: Residual-Block Inspired Coordinate Attention U-Net for Segmentation of Small and Sparse Calcium Lesions in Cardiac CT. - Doyoung Park; Jinsoo Kim; Qi Chang; Shuang Leng; Liang Zhong 001; Lohendran Baskaran (ISBI, 2025)