215 Publications (Page 2 of 9)
2020
The selection of SNPs in upstream 5K boundary for each gene.
Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy ImagesHan, 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)
Top 7 connected components with biomarkers identified using M-Lasso mapped to prior network.
Top enriched KEGG pathways by the genes and proteins in the largest connected subnetwork.
2019
1992. Initial Procalcitonin Level and Antibiotic Practice Patterns Among Patients with Acute Respiratory InfectionsCostales, Jessica K⋅Nomura, Jim H⋅Joanie. Chung, Wen-Ling⋅Ironside, Kristen⋅Sim, John J and Salama, PaulOpen Forum Infectious Diseases, vol. 6, (no. Supplement_2), pp. S668, 2019-10-23.
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Center-extraction-based three dimensional nuclei instance segmentation of fluorescence microscopy imagesHo, D.J.⋅Ho, D.J.⋅Han, S.⋅Han, S.⋅Fu, C.⋅Fu, C.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy ImagesHo, David Joon⋅Ho, David Joon⋅Ho, D.J.⋅Han, Shuo⋅Han, Shuo⋅Han, S.⋅Fu, Chichen⋅Fu, Chichen⋅Fu, C.⋅Salama, Paul⋅Salama, Paul⋅Salama, P.⋅Dunn, Kenneth W⋅Dunn, K.W.⋅Dunn, Kenneth W⋅Delp, Edward J⋅Delp, E.J. and Delp, Edward J2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pp. 4, 2019-May.
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Data_Sheet_1_SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.csv
Data_Sheet_2_SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.csv
DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic dataDunn, Kenneth W⋅Dunn, Kenneth W⋅Dunn, K.W.⋅Fu, C.⋅Fu, Chichen⋅Fu, Chichen⋅Ho, David Joon⋅Ho, David Joon⋅Ho, D.J.⋅Lee, Soonam⋅Lee, Soonam⋅Lee, S.⋅Han, Shuo⋅Han, S.⋅Han, Shuo⋅Salama, Paul⋅Salama, Paul⋅Salama, P.⋅Delp, E.J.⋅Delp, Edward J and Delp, Edward JScientific reports, vol. 9, (no. 1), pp. 15, 2019-Dec-04.
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Disruption of gene co-expression network along the progression of Alzheimer’s diseaseUpadhyaya, Y.⋅Xie, L.⋅Salama, P.⋅Nho, K.⋅Saykin, A.J. and Yan, J.
Identification of functionally connected multi-omic biomarkers for Alzheimer’s Disease using modularity-constrained LassoXie, Linhui⋅Varathan, Pradeep⋅Nho, Kwangsik⋅Saykin, Andrew⋅Salama, Paul and Yan, JingwenbioRxiv
Nuclei counting in microscopy images with three dimensional generative adversarial networksHan, S.⋅Han, S.⋅Lee, S.⋅Lee, S.⋅Fu, C.⋅Fu, C.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.
P4‐110: DIFFERENTIAL CO‐EXPRESSION ANALYSIS REVEALS EARLY STAGE GENE DIS‐COORDINATION IN ALZHEIMER'S DISEASEXie, Linhui⋅Xie, Linhui⋅Xie, Linhui⋅Xie, Linhui⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Upadhyaya, Yurika⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Nho, Kwangsik⋅Nho, Kwangsik⋅Nho, Kwangsik⋅Nho, Kwangsik⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Yan, Jingwen⋅Yan, Jingwen⋅Yan, Jingwen and Yan, JingwenAlzheimer's & Dementia, vol. 15, pp. P1318, July 2019.
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SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast CancerHuang, Zhi⋅Huang, Zhi⋅Huang, Zhi⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Zhan, Xiaohui⋅Xiang, Shunian⋅Xiang, Shunian⋅Xiang, Shunian⋅Johnson, Travis S⋅Johnson, Travis S⋅Johnson, Travis S⋅Helm, Bryan⋅Helm, Bryan⋅Helm, Bryan⋅Yu, Christina Y⋅Yu, Christina Y⋅Yu, Christina Y⋅Zhang, Jie⋅Zhang, Jie⋅Zhang, Jie⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Rizkalla, Maher⋅Han, Zhi⋅Han, Zhi⋅Han, Zhi⋅Huang, Kun⋅Huang, Kun and Huang, KunFrontiers in genetics, vol. 10, pp. 166, 2019-00-00.
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Table_1_SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.docx
Table_2_SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.xlsx
Table_3_SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.xlsx
Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial NetworksLee, Soonam⋅Lee, S.⋅Lee, Soonam⋅Han, Shuo⋅Han, Shuo⋅Han, S.⋅Salama, Paul⋅Salama, Paul⋅Salama, P.⋅Dunn, Kenneth W⋅Dunn, K.W.⋅Dunn, Kenneth W⋅Delp, Edward J⋅Delp, E.J. and Delp, Edward J2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 542, 2019-April.
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THREE DIMENSIONAL BLIND IMAGE DECONVOLUTION FOR FLUORESCENCE MICROSCOPY USING GENERATIVE ADVERSARIAL NETWORKSLee, S.⋅Lee, S.⋅Han, S.⋅Han, S.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.
TSUNAMI: Translational Bioinformatics Tool Suite For Network Analysis And MiningHuang, Zhi⋅Han, Zhi⋅Wang, Tongxin⋅Shao, Wei⋅Xiang, Shunian⋅Salama, Paul⋅Rizkalla, Maher⋅Huang, Kun and Zhang, JieCold Spring Harbor Laboratory
2018
Electromagnetic simulation for diagnosing damage to femoral neck vasculature: A feasibility study.Rizkalla, James⋅Jeffers, Matthew⋅Salama, Paul and Rizkalla, MaherJournal of orthopaedics.
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Electromagnetic simulation of non-invasive approach for the diagnosis of diabetic foot ulcersBorkar, Roshen⋅Borkar, Roshen⋅Rizkalla, James⋅Rizkalla, James⋅Kwon, Youngmin⋅Kwon, Youngmin⋅Salama, Paul⋅Salama, Paul⋅Rizkalla, Maher and Rizkalla, MaherJournal of Orthopaedics, vol. 15, (no. 2), pp. 521, 2018.
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Heritability Estimation of Reliable Connectomic Features. Connectomics in neuroImaging : second international workshop, CNI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. CNI (Workshop) (2nd : 2018 : Granada, Spain)Xie, Linhui⋅Xie, Linhui⋅Xie, Linhui⋅Amico, Enrico⋅Amico, Enrico⋅Amico, Enrico⋅Salama, Paul⋅Salama, Paul⋅Salama, Paul⋅Wu, Yu-Chien⋅Wu, Yu-Chien⋅Wu, Yu-Chien⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Sporns, Olaf⋅Sporns, Olaf⋅Sporns, Olaf⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Goñi, Joaquín⋅Goñi, Joaquín⋅Goñi, Joaquín⋅Yan, Jingwen⋅Yan, Jingwen⋅Yan, Jingwen⋅Shen, Li⋅Shen, Li and Shen, LiConnectomics in neuroImaging : second international workshop, CNI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. CNI (Workshop) (2nd : 2018 : Granada, Spain).
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Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networksHo, D.J.⋅Ho, D.J.⋅Fu, C.⋅Fu, C.⋅Salama, P.⋅Salama, P.⋅Dunn, K.W.⋅Dunn, K.W.⋅Delp, E.J. and Delp, E.J.(pp. 418-422)
