Kaiming Kuang

According to our database1, Kaiming Kuang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
IEEE Trans. Medical Imaging, January, 2024

Trajectory classification to support effective and efficient field-road classification.
PeerJ Comput. Sci., 2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.
CoRR, 2024

CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
CoRR, 2022

Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection.
Comput. Electron. Agric., 2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What Makes for Automatic Reconstruction of Pulmonary Segments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Asymmetric 3D Context Fusion for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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