Follow
Xiaonan Liu
Title
Cited by
Cited by
Year
Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease
X Liu, K Chen, T Wu, D Weidman, F Lure, J Li
Translational Research 194, 56-67, 2018
1342018
Gaussian mixture model with feature selection: An embedded approach
Y Fu, X Liu, S Sarkar, T Wu
Computers & Industrial Engineering 152, 107000, 2021
342021
Statins and metformin use is associated with lower PSA levels in prostate cancer patients presenting for radiation therapy
X Liu, J Li, SE Schild, MH Schild, W Wong, S Vora, MG Herman, M Fatyga
Journal of cancer therapy 8 (2), 73, 2017
252017
Patient specific characteristics are an important factor that determines the risk of acute grade≥ 2 rectal toxicity in patients treated for prostate cancer with IMRT and daily …
X Liu, J Li, T Wu, SE Schild, MH Schild, W Wong, S Vora, M Fatyga
OMICS journal of radiology 5 (3), 2016
92016
A novel transfer learning model for predictive analytics using incomplete multimodality data
X Liu, K Chen, D Weidman, T Wu, F Lure, J Li, ...
IISE transactions 53 (9), 1010-1022, 2021
72021
Detecting spatial susceptibility to cardiac toxicity of radiation therapy for lung cancer
X Liu, M Fatyga, SE Schild, J Li
IISE transactions on healthcare systems engineering 10 (4), 243-250, 2020
72020
Identifying interactive biological pathways associated with reading disability
HS Lancaster, X Liu, V Dinu, J Li
Brain and Behavior 10 (8), e01735, 2020
72020
Integration of biological and statistical models toward personalized radiation therapy of cancer
X Liu, M Fatyga, T Wu, J Li
IISE Transactions 51 (3), 311-321, 2019
32019
Semiconductor corner lot generation robust to process variation: Modeling and analysis
X Liu, AM Gough, J Li
IISE Transactions 50 (2), 126-139, 2018
22018
System and method for diagnostics and prognostics of mild cognitive impairment using deep learning
YMF Lure, J Li, T Wu, D Weidman, K Chen, X Liu, Y Su
US Patent 11,651,862, 2023
12023
System and method for early diagnostics and prognostics of mild cognitive impairment using hybrid machine learning
YMF Lure, J Li, T Wu, D Weidman, K Chen, X Liu, Y Su
US Patent App. 17/970,330, 2023
12023
System and method for diagnostics and prognostics of mild cognitive impairment using machine learning
YMF Lure, J Li, T Wu, D Weidman, K Chen, X Liu
US Patent App. 17/559,680, 2022
12022
Bi-threshold frequent subgraph mining for Alzheimer disease risk assessment
F Gao, J Li, T Wu, K Chen, X Liu, L Baxter, RJ Caselli
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
12018
System and method for diagnostics and prognostics of mild cognitive impairment using deep learning
YMF Lure, J Li, T Wu, D Weidman, K Chen, X Liu, Y Su
US Patent App. 17/857,963, 2022
2022
O4‐04‐02: IDENTIFICATION OF FAST CONVERTERS AMONG MCI PATIENTS BY INTEGRATING INCOMPLETE MULTI‐MODALITY IMAGE DATA USING A LONGITUDINAL TRANSFER LEARNING MODEL
X Liu, J Li, K Chen, T Wu, F Lure, Y Su, D Weidman, P Wang
Alzheimer's & Dementia 15, P1238-P1238, 2019
2019
P3‐355: ADDRESSING THE GAP OF IMAGING ACCESSIBILITY IN EARLY DETECTION OF AD BY A NOVEL TRANSFER LEARNING MODEL: A LONGITUDINAL STUDY
X Liu, J Li, K Chen, T Wu, F Lure, Y Su, D Weidman, P Wang
Alzheimer's & Dementia 15, P1080-P1081, 2019
2019
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data
X Liu, K Chen, T Wu, D Weidman, F Lure, J Li
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 121-127, 2018
2018
Modeling of Acute Rectal Toxicity to Compare Two Patient Positioning Methods for Prostate Cancer Radiotherapy: Can Toxicity Modeling be Used for Quality Assurance?
X Liu, J Li, SE Schild, MH Schild, W Wong, S Vora, MG Herman, M Fatyga
OMICS journal of radiology 7 (5), 2018
2018
19 Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
M Poostchi, K Silamut, RJ Maude, S Jaeger, G Thoma, X Liu, K Chen, ...
The system can't perform the operation now. Try again later.
Articles 1–19