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ORCIDLili He 0003
Person information
- affiliation: Cincinnati Children's Hospital Medical Center, Imaging Research Center, OH, USA
- affiliation (former): Massachusetts General Hospital, Department of Radiology, MA, USA
Other persons with the same name
- Lili He — disambiguation page
- Lili He 0001 — San Jose State University
- Lili He 0002 — Jilin University, Changchun, China
- Lili He 0004 — Hebei University of Engineering, Handan, China
- Lili He 0005 — Zhejiang University, State Key Lab of CAD/CG, China
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2020 – today
- 2024
[j12]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He:
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. Artif. Intell. Medicine 157: 102993 (2024)- [j11]Hailong Li
, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. NeuroImage 291: 120579 (2024) - [i4]Zhixiu Lu, Hailong Li, Lili He:
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training. CoRR abs/2403.09948 (2024) - 2023
- [j10]Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Anal. 87: 102828 (2023) - [j9]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A novel collaborative self-supervised learning method for radiomic data. NeuroImage 277: 120229 (2023) - [i3]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data. CoRR abs/2302.09807 (2023) - [i2]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He:
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment. CoRR abs/2312.15064 (2023) - 2022
- [j8]Xiangyu Zhao, Xueping Peng, Ke Niu, Hailong Li, Lili He, Feng Yang, Ting Wu, Duo Chen, Qiusi Zhang, Menglin Ouyang, Jiayang Guo, Yijie Pan:
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy. Frontiers Neuroinformatics 16 (2022) - [j7]Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. NeuroImage 260: 119484 (2022) - [j6]Julia E. Kline, Jonathan Dudley, Venkata Sita Priyanka Illapani, Hailong Li, Beth Kline-Fath, Jean A. Tkach, Lili He, Weihong Yuan, Nehal A. Parikh:
Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology. NeuroImage 264: 119727 (2022) - [i1]Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants. CoRR abs/2202.04134 (2022)
2010 – 2019
- 2019
- [j5]Milan N. Parikh, Hailong Li, Lili He:
Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data. Frontiers Comput. Neurosci. 13: 9 (2019) - 2013
- [j4]Lili He, Nehal A. Parikh:
Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants. NeuroImage 64: 328-340 (2013) - 2010
- [j3]Lili He, Burkay Orten, Synho Do, William Clement Karl, Avinish Kambadakone, Dushyant Sahani, Homer H. Pien:
A Spatio-Temporal Deconvolution Method to Improve Perfusion CT Quantification. IEEE Trans. Medical Imaging 29(5): 1182-1191 (2010)
2000 – 2009
- 2009
- [j2]Lili He, Ian R. Greenshields:
A Nonlocal Maximum Likelihood Estimation Method for Rician Noise Reduction in MR Images. IEEE Trans. Medical Imaging 28(2): 165-172 (2009) - [c2]Lili He, Burkay Orten, Synho Do, W. Clem Karl, Avinish Kambadakone, Dushyant Sahani, Homer H. Pien:
Spatio-Temporal Deconvolution of Perfusion CT Data in Rectal Tumor Patients. ISBI 2009: 1231-1234 - 2008
- [j1]Lili He, Ian R. Greenshields:
An MRF spatial fuzzy clustering method for fMRI SPMs. Biomed. Signal Process. Control. 3(4): 327-333 (2008) - 2005
- [c1]Lili He, Ian R. Greenshields:
Empirical Determination of Lower Bounds on RP Embedding. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 151-153
Coauthor Index
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