Tumor Segmentation and Survival Prediction in Glioma with Deep Learning. - Li Sun 010; Songtao Zhang; Lin Luo 006 (BrainLes@MICCAI (2), 2018)

Structure-Aware Staging for Breast Cancer Metastases. - Songtao Zhang; Li Sun 010; Ruiqiao Wang; Hongping Tang; Jin Zhang; Lin Luo 006 (RAMBO+BIA+TIA@MICCAI, 2018)

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (CoRR, 2020)

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. - Li Sun 010; Ke Yu; Kayhan Batmanghelich (AAAI, 2021)

Extracting Disease-Relevant Features with Adversarial Regularization. - Junxiang Chen; Li Sun 010; Ke Yu; Kayhan Batmanghelich (BIBM, 2021)

Can contrastive learning avoid shortcut solutions? - Joshua Robinson 001; Li Sun 010; Ke Yu; Kayhan Batmanghelich; Stefanie Jegelka; Suvrit Sra (NeurIPS, 2021)

Knowledge Distillation via Constrained Variational Inference. - Ardavan Saeedi; Yuria Utsumi; Li Sun 010; Kayhan Batmanghelich; Li-Wei H. Lehman (AAAI, 2022)

Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network. - Li Sun 010; Ke Yu; Kayhan Batmanghelich (CoRR, 2022)

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (IEEE J. Biomed. Health Informatics, 2022)

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding. - Li Sun 010; Florian Luisier; Kayhan Batmanghelich; Dinei A. F. Florêncio; Cha Zhang (ACL (1), 2023)

DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. - Ke Yu; Li Sun 010; Junxiang Chen; Maxwell Reynolds; Tigmanshu Chaudhary; Kayhan Batmanghelich (CoRR, 2023)

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. - Yanwu Xu 003; Li Sun 010; Wei Peng 009; Shyam Visweswaran; Kayhan Batmanghelich (CoRR, 2023)

Less Peaky and More Accurate CTC Forced Alignment by Label Priors. - Ruizhe Huang; Xiaohui Zhang 007; Zhaoheng Ni; Li Sun 010; Moto Hira; Jeff Hwang; Vimal Manohar; Vineel Pratap; Matthew Wiesner; Shinji Watanabe 001; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2024)

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination. - Xinliu Zhong; Kayhan Batmanghelich; Li Sun 010 (CAI, 2024)

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. - Ke Yu; Li Sun 010; Junxiang Chen; Maxwell Reynolds; Tigmanshu Chaudhary; Kayhan Batmanghelich (Medical Image Anal., 2024)

MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. - Yanwu Xu 003; Li Sun 010; Wei Peng 009; Shuyue Jia; Katelyn Morrison; Adam Perer; Afrooz Zandifar; Shyam Visweswaran; Motahhare Eslami; Kayhan Batmanghelich (IEEE Trans. Medical Imaging, 2024)

Multi-Modal Large Language Models are Effective Vision Learners. - Li Sun 010; Chaitanya Ahuja; Peng Chen; Matt D'Zmura; Kayhan Batmanghelich; Philip Bontrager (WACV, 2025)

Enhancing intent understanding for ambiguous prompt: A human-machine co-adaption strategy. - Yijin Wang; Yangfan He; Jianhui Wang; Kun Li 014; Li Sun 010; Jun Yin; Miao Zhang 010; Xueqian Wang 001 (Neurocomputing, 2025)