MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. - Jiancheng Yang; Jiajun Chen; Kaiming Kuang; Tiancheng Lin 001; Junjun He; Bingbing Ni (MICCAI (2), 2020)

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. - Jiancheng Yang; Mingze Gao; Kaiming Kuang; Bingbing Ni; Yunlang She; Dong Xie; Chang Chen (MICCAI (6), 2020)

Asymmetric 3D Context Fusion for Universal Lesion Detection. - Jiancheng Yang; Yi He; Kaiming Kuang; Zudi Lin; Hanspeter Pfister; Bingbing Ni (MICCAI (5), 2021)

What Makes for Automatic Reconstruction of Pulmonary Segments. - Kaiming Kuang; Li Zhang 085; Jingyu Li; Hongwei Li 004; Jiajun Chen; Bo Du 001; Jiancheng Yang (MICCAI (1), 2022)

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. - Rui Xu 031; Yong Luo 002; Bo Du 001; Kaiming Kuang; Jiancheng Yang (MICCAI (1), 2022)

Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection. - Xiaoqiang Zhang 004; Ying Chen 012; Jiepeng Jia; Kaiming Kuang; Yubin Lan; Caicong Wu (Comput. Electron. Agric., 2022)

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. - Liang Jin; Shixuan Gu; Donglai Wei 001; Kaiming Kuang; Hanspeter Pfister; Bingbing Ni; Jiancheng Yang; Ming Li 005 (CoRR, 2022)

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. - Minghua Liu; Ruoxi Shi; Kaiming Kuang; Yinhao Zhu; Xuanlin Li; Shizhong Han; Hong Cai; Fatih Porikli; Hao Su 001 (NeurIPS, 2023)

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. - Rui Xu 031; Zhi Liu 002; Yong Luo 002; Han Hu 003; Li Shen 008; Bo Du 001; Kaiming Kuang; Jiancheng Yang (CoRR, 2023)

CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. - Jun Wang; Yuzhe Qin; Kaiming Kuang; Yigit Korkmaz; Akhilan Gurumoorthy; Hao Su 001; Xiaolong Wang 004 (CVPR, 2024)

Trajectory classification to support effective and efficient field-road classification. - Ying Chen; Kaiming Kuang; Caicong Wu (PeerJ Comput. Sci., 2024)

: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. - Liang Jin; Shixuan Gu; Donglai Wei 001; Jason Ken Adhinarta; Kaiming Kuang; Yongjie Jessica Zhang; Hanspeter Pfister; Bingbing Ni; Jiancheng Yang; Ming Li 005 (IEEE Trans. Medical Imaging, 2024)

SimTA++: Simple attention neural network for clinical asynchronous time series. - Zhihao Li; Jingyu Li; Kaiming Kuang; Baoyu Jing; Bo Du 001; Fei Liao; Jiancheng Yang (Neural Networks, 2025)

Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions. - Kangxian Xie; Yufei Zhu; Kaiming Kuang; Li Zhang 085; Hongwei Bran Li; Mingchen Gao; Jiancheng Yang (CoRR, 2025)

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge. - Jiancheng Yang; Rui Shi; Liang Jin; Xiaoyang Huang; Kaiming Kuang; Donglai Wei 001; Shixuan Gu; Jianying Liu; Pengfei Liu; Zhizhong Chai; Yongjie Xiao; Hao Chen 011; et al. (IEEE Trans. Medical Imaging, 2025)