Shenzhen Institutes of Advanced Technology

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al.

2022 · 1.154 Zit.

Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots

Sukhpal Singh Gill, Minxian Xu, Panos Patros et al.

2023 · 444 Zit.

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Qi Dou, Tiffany Y. So, Meirui Jiang et al.

2021 · 270 Zit.

Deep learning-based cardiovascular image diagnosis: A promising challenge

Kelvin K. L. Wong, Giancarlo Fortino, Derek Abbott

2019 · 204 Zit.

Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Zhenzhen Du, Yujie Yang, Jing Zheng et al.

2020 · 95 Zit.

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review

Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou et al.

2022 · 48 Zit.

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

Ibrahim Hussein Musa, Lukman O. Afolabi, Ibrahim Zamit et al.

2022 · 44 Zit.

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

Wenfang Yao, Kejing Yin, William K. Cheung et al.

2024 · 35 Zit.

Optimizing lower limb rehabilitation: the intersection of machine learning and rehabilitative robotics

Xiaoqian Zhang, Xiyin Rong, Hanwen Luo

2024 · 29 Zit.

Harnessing the power of artificial intelligence for human living organoid research

Hui Wang, Xiangyang Li, Xiaoyan You et al.

2024 · 29 Zit.

Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images

Tao Yi, Yanyan Yu, Tong Wu et al.

2022 · 28 Zit.

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms

Zhenxing Huang, Xinfeng Liu, Rongpin Wang et al.

2020 · 27 Zit.

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study

Luyang Luo, Hao Chen, Yongjie Xiao et al.

2022 · 24 Zit.

The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice

Dong Xu, Lin Sui, Chunquan Zhang et al.

2024 · 24 Zit.

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment

Qiankun Zuo, Ling Chen, Yanyan Shen et al.

2024 · 14 Zit.