213 Publications (Page 1 of 9)
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 Segmentation
 
An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation
Wu, L.Chen, A.Salama, P.Dunn, K.W. and Delp, E.J.
(pp. 1883-1893)
 
Deep multi-omic network fusion for marker discovery of Alzheimer’s Disease
L, XieY, RajP, VarathanB, HeK, NhoP, SalamaAJ, 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 ChieP, 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, XieB, HeP, VarathanK, NhoSL, RisacherAJ, SaykinP, 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 images
Wu, 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 images
Wu, 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 curves
Chen, 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, ZhiHan, ZhiWang Resource, TongxinShao, WeiXiang, ShunianSalama, PaulRizkalla, MaherHuang, Kun and Zhang, Jie
Genomics, proteomics & bioinformatics. | Journal Article
2020
Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations
Huang, ZhiHuang, ZhiHuang, ZhiHuang, ZhiZ, HuangHuang, ZhiHuang, ZhiHuang, ZhiJohnson, Travis SJohnson, Travis SJohnson, Travis SJohnson, Travis SJohnson, Travis STS, JohnsonJohnson, Travis SJohnson, Travis SHan, ZhiHan, ZhiHan, ZhiHan, ZhiZ, HanHan, ZhiHan, ZhiHan, ZhiHelm, BryanHelm, BryanHelm, BryanHelm, BryanHelm, BryanHelm, BryanB, HelmHelm, BryanCao, ShaS, CaoCao, ShaCao, ShaCao, ShaCao, ShaCao, ShaCao, ShaZhang, ChiZhang, ChiZhang, ChiZhang, ChiZhang, ChiZhang, ChiC, ZhangZhang, ChiSalama, PaulSalama, PaulSalama, PaulSalama, PaulSalama, PaulSalama, PaulP, SalamaSalama, PaulRizkalla, MaherRizkalla, MaherRizkalla, MaherRizkalla, MaherRizkalla, MaherM, RizkallaRizkalla, MaherRizkalla, MaherCY, YuYu, Christina YYu, Christina YYu, Christina YYu, Christina YYu, Christina YYu, Christina YYu, Christina YCheng, JunJ, ChengCheng, JunCheng, JunCheng, JunCheng, JunCheng, JunCheng, JunXiang, ShunianXiang, ShunianXiang, ShunianXiang, ShunianS, XiangXiang, ShunianXiang, ShunianXiang, ShunianZhan, XiaohuiZhan, XiaohuiZhan, XiaohuiZhan, XiaohuiZhan, XiaohuiX, ZhanZhan, XiaohuiZhan, XiaohuiZhang, JieZhang, JieZhang, JieZhang, JieZhang, JieZhang, JieJ, ZhangZhang, JieHuang, KunHuang, KunHuang, KunHuang, KunHuang, KunHuang, KunHuang, Kun and K, Huang
BMC 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 disease
Y, UpadhyayaUpadhyaya, YurikaUpadhyaya, YurikaUpadhyaya, YurikaUpadhyaya, YurikaUpadhyaya, YurikaXie, LinhuiXie, LinhuiXie, LinhuiL, XieXie, LinhuiXie, LinhuiSalama, PaulSalama, PaulSalama, PaulSalama, PaulP, SalamaSalama, PaulCao, ShaCao, ShaCao, ShaCao, ShaCao, ShaS, CaoNho, KwangsikNho, KwangsikK, NhoNho, KwangsikNho, KwangsikNho, KwangsikSaykin, Andrew JSaykin, Andrew JSaykin, Andrew JSaykin, Andrew JSaykin, Andrew JAJ, SaykinYan, JingwenYan, JingwenYan, JingwenYan, JingwenJ, YanYan, JingwenAlzheimer’s Disease Neuroimaging In, for theAlzheimer’s Disease Neuroimaging In, for theFT, Alzheimer’s Disease Neuroimaging InitiativeAlzheimer’s Disease Neuroimaging In, for theAlzheimer’s Disease Neuroimaging In, for the and Alzheimer’s Disease Neuroimaging In, for the
BMC 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 Clusters
Huang, 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.
 
S1 File -
 
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
 
The selection of SNPs in upstream 5K boundary for each gene.
 
Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images
Han, S.Han, S.Lee, S.Lee, S.Chen, A.Chen, A.Yang, C.Yang, C.Salama, P.Salama, P.Dunn, K.W.Dunn, K.W.Delp, E.J. and Delp, E.J.
(pp. 526-530)