Prati
Xiang Li
Xiang Li
Assistant Professor, Massachusetts General Hospital and Harvard Medical School
Potvrđena adresa e-pošte na mgh.harvard.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success
JH Thrall, X Li, Q Li, C Cruz, S Do, K Dreyer, J Brink
Journal of the American College of Radiology 15 (3), 504-508, 2018
6112018
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
4762021
Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models
Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li, M He, Z Liu, Z Wu, ...
Meta-Radiology, 100017, 2023
4452023
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
Z Guo, X Li, H Huang, N Guo, Q Li
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 162-169, 2019
3252019
Sparse representation of whole-brain fMRI signals for identification of functional networks
J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang, S Zhang, X Hu, J Han, ...
Medical image analysis 20 (1), 112-134, 2015
1992015
AugGPT: Leveraging ChatGPT for Text Data Augmentation
H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ...
arXiv preprint arXiv:2302.13007, 2023
1842023
Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients
X Li, D Zhu, X Jiang, C Jin, X Zhang, L Guo, J Zhang, X Hu, L Li, T Liu
Human brain mapping 35 (4), 1761-1778, 2014
1692014
Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function
J Lv, X Jiang, X Li, D Zhu, S Zhang, S Zhao, H Chen, T Zhang, X Hu, ...
IEEE Transactions on Biomedical Engineering 62 (4), 1120-1131, 2014
1562014
Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations
S Zhang, X Li, J Lv, X Jiang, L Guo, T Liu
Brain imaging and behavior 10, 21-32, 2016
1022016
Deid-gpt: Zero-shot medical text de-identification by gpt-4
Z Liu, Y Huang, X Yu, L Zhang, Z Wu, C Cao, H Dai, L Zhao, Y Li, P Shu, ...
arXiv preprint arXiv:2303.11032, 2023
1002023
Medical image segmentation based on multi-modal convolutional neural network: study on image fusion schemes
Z Guo, X Li, H Huang, N Guo, Q Li
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
842018
Characterizing and differentiating brain state dynamics via hidden Markov models
J Ou, L Xie, C Jin, X Li, D Zhu, R Jiang, Y Chen, J Zhang, L Li, T Liu
Brain topography 28, 666-679, 2015
742015
Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data
W Zhang, J Lv, X Li, D Zhu, X Jiang, S Zhang, Y Zhao, L Guo, J Ye, D Hu, ...
IEEE Transactions on Biomedical Engineering 66 (1), 289-299, 2018
702018
Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex
X Jiang, X Li, J Lv, T Zhang, S Zhang, L Guo, T Liu
Human brain mapping 36 (12), 5301-5319, 2015
702015
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu, F Zeng, X Jiang, L Guo, X Cai, ...
IEEE Transactions on Artificial Intelligence, 2024
612024
Evaluating large language models on a highly-specialized topic, radiation oncology physics
J Holmes, Z Liu, L Zhang, Y Ding, TT Sio, LA McGee, JB Ashman, X Li, ...
Frontiers in Oncology 13, 1219326, 2023
612023
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ...
Medical Image Analysis, 101993, 2021
592021
When brain-inspired ai meets agi
L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu, T Zhang, X Hu, ...
Meta-Radiology, 100005, 2023
572023
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
D Wu, K Gong, K Kim, X Li, Q Li
International Conference on Medical Image Computing and Computer-Assisted …, 2019
552019
Prompt Engineering for Healthcare: Methodologies and Applications
J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ...
arXiv preprint arXiv:2304.14670, 2023
522023
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