215 Publications (Page 1 of 9)
2024
A Quantitative Metric of Confidence For Segmentation of Nuclei in Large Spatially Variable Image Volumes
2023
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation
2022
3D CentroidNet: Nuclei Centroid Detection With Vector Flow Voting
3D Ground Truth Annotations of Nuclei in 3D Microscopy Volumes
An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance SegmentationWu, L.⋅Chen, A.⋅Salama, P.⋅Dunn, K.W. and Delp, E.J.(pp. 1883-1893)
An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation
Deep multi-omic network fusion for marker discovery of Alzheimer’s DiseaseL, Xie⋅Y, Raj⋅P, Varathan⋅B, He⋅K, Nho⋅P, Salama⋅AJ, Saykin and J, Yan
DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data
NISNet3D: Three-Dimensional Nuclear Synthesis and Instance Segmentation for Fluorescence Microscopy Images
2021
70329 Automated Lungs Segmentation and Airways Skeletonization from CT Scans in Patients with Cystic Fibrosis
J, Chong Chie⋅P, Territo and P, Salama
Journal of clinical and translational science. | Journal Article
Eletromagnetic Detection of Mild Brain Injury: A Novel Imaging Approach to Post Concussive Syndrome.
Journal of biomedical science and engineering. | Journal Article
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer s disease.
L, Xie⋅B, He⋅P, Varathan⋅K, Nho⋅SL, Risacher⋅AJ, Saykin⋅P, Salama and J, Yan
Briefings in bioinformatics. | Journal Article
RCNN-SliceNet: A slice and cluster approach for nuclei centroid detection in three-dimensional fluorescence microscopy imagesWu, L.⋅Wu, L.⋅Han, S.⋅Han, S.⋅Chen, A.⋅Chen, A.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.
RCNN-SliceNet: A slice and cluster approach for nuclei centroid detection in three-dimensional fluorescence microscopy imagesWu, L.⋅Wu, L.⋅Han, S.⋅Han, S.⋅Chen, A.⋅Chen, A.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.(pp. 3750-3760)
Three dimensional synthetic non-ellipsoidal nuclei volume generation using bézier curvesChen, A.⋅Chen, A.⋅Wu, L.⋅Wu, L.⋅Han, S.⋅Han, S.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.(pp. 961-965)
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.Huang, Zhi⋅Han, Zhi⋅Wang Resource, Tongxin⋅Shao, Wei⋅Xiang, Shunian⋅Salama, Paul⋅Rizkalla, Maher⋅Huang, Kun and Zhang, JieGenomics, proteomics & bioinformatics.
| Journal Article
2020
Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluationsHuang, Zhi⋅Huang, Zhi⋅Huang, Zhi⋅Z, Huang⋅Huang, Zhi⋅Huang, Zhi⋅Huang, Zhi⋅Huang, Zhi⋅Johnson, Travis S⋅Johnson, Travis S⋅Johnson, Travis S⋅Johnson, Travis S⋅Johnson, Travis S⋅TS, Johnson⋅Johnson, Travis S⋅Johnson, Travis S⋅Han, Zhi⋅Han, Zhi⋅Han, Zhi⋅Han, Zhi⋅Han, Zhi⋅Z, Han⋅Han, Zhi⋅Han, Zhi⋅Helm, Bryan⋅Helm, Bryan⋅Helm, Bryan⋅Helm, Bryan⋅Helm, Bryan⋅B, Helm⋅Helm, Bryan⋅Helm, Bryan⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅S, Cao⋅Cao, Sha⋅Cao, Sha⋅C, Zhang⋅Zhang, Chi⋅Zhang, Chi⋅Zhang, Chi⋅Zhang, Chi⋅Zhang, Chi⋅Zhang, Chi⋅Zhang, Chi⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅P, Salama⋅Salama, Paul⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Rizkalla, Maher⋅M, Rizkalla⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Yu, Christina Y⋅Yu, Christina Y⋅Yu, Christina Y⋅Yu, Christina Y⋅CY, Yu⋅Yu, Christina Y⋅Yu, Christina Y⋅Yu, Christina Y⋅Cheng, Jun⋅Cheng, Jun⋅Cheng, Jun⋅J, Cheng⋅Cheng, Jun⋅Cheng, Jun⋅Cheng, Jun⋅Cheng, Jun⋅Xiang, Shunian⋅Xiang, Shunian⋅Xiang, Shunian⋅Xiang, Shunian⋅Xiang, Shunian⋅S, Xiang⋅Xiang, Shunian⋅Xiang, Shunian⋅X, Zhan⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhang, Jie⋅Zhang, Jie⋅Zhang, Jie⋅J, Zhang⋅Zhang, Jie⋅Zhang, Jie⋅Zhang, Jie⋅Zhang, Jie⋅Huang, Kun⋅K, Huang⋅Huang, Kun⋅Huang, Kun⋅Huang, Kun⋅Huang, Kun⋅Huang, Kun and Huang, KunBMC medical genomics, vol. 13, (no. Suppl 5), pp. 41, 2020-Apr-03.
| Journal Article
Demographic information of the ROS/MAP participants included in this study.
Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer’s diseaseUpadhyaya, Yurika⋅Y, Upadhyaya⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Xie, Linhui⋅Xie, Linhui⋅L, Xie⋅Xie, Linhui⋅Xie, Linhui⋅Xie, Linhui⋅Salama, Paul⋅Salama, Paul⋅P, Salama⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅Cao, Sha⋅S, Cao⋅Nho, Kwangsik⋅Nho, Kwangsik⋅Nho, Kwangsik⋅K, Nho⋅Nho, Kwangsik⋅Nho, Kwangsik⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Saykin, Andrew J⋅AJ, Saykin⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Yan, Jingwen⋅Yan, Jingwen⋅Yan, Jingwen⋅Yan, Jingwen⋅Yan, Jingwen⋅J, Yan⋅Alzheimer’s Disease Neuroimaging In, for the⋅Alzheimer’s Disease Neuroimaging In, for the⋅Alzheimer’s Disease Neuroimaging In, for the⋅FT, Alzheimer’s Disease Neuroimaging Initiative⋅Alzheimer’s Disease Neuroimaging In, for the and Alzheimer’s Disease Neuroimaging In, for theBMC Medical Genomics, vol. 13, (no. S5), pp. 10, 2020-04-00.
| Journal Article
Identification of functionally connected multi-omic biomarkers for Alzheimer s disease using modularity-constrained Lasso.
. | Journal Article
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene ClustersHuang, Z.⋅Salama, P.⋅Shao, W.⋅Zhang, J. and Huang, K.
Nodes with top centrality values in the largest connected subnetwork.
Performance comparison on test set between M-Lasso and other methods.
Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images. Journal of medical imaging (Bellingham, Wash.)Ho, D.J.⋅Mas Montserrat, D.⋅Fu, C.⋅Salama, P.⋅Dunn, K.W. and Delp, E.J.Journal of medical imaging (Bellingham, Wash.).
| Journal Article