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A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC.

EJNMMI research

Crandall JP, Tahari AK, Juergens RA, Brahmer JR, Rudin CM, Esposito G, Subramaniam DS, Knopp MV, Hall NC, Gajwani P, Leal JP, Lodge MA, O JH, Gabrielson EW, Shankar LK, Wahl RL.
PMID: 28102506
EJNMMI Res. 2017 Dec;7(1):8. doi: 10.1186/s13550-017-0258-3. Epub 2017 Jan 19.

BACKGROUND: The aim of this study was to compare the percentage change in RESULTS: Between baseline and post-cycle 1, non-responders had mean SULmax (maximum standard uptake value adjusted for lean body mass) increases of 7.0 and 3.4% for FDG...

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Crandall JP, Tahari AK, Juergens RA, et al. A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC. EJNMMI Res. 2017;7(1):8doi: 10.1186/s13550-017-0258-3.
Crandall, J. P., Tahari, A. K., Juergens, R. A., Brahmer, J. R., Rudin, C. M., Esposito, G., Subramaniam, D. S., Knopp, M. V., Hall, N. C., Gajwani, P., Leal, J. P., Lodge, M. A., O, J. H., Gabrielson, E. W., Shankar, L. K., & Wahl, R. L. (2017). A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC. EJNMMI research, 7(1), 8. https://doi.org/10.1186/s13550-017-0258-3
Crandall, John P, et al. "A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC." EJNMMI research vol. 7,1 (2017): 8. doi: https://doi.org/10.1186/s13550-017-0258-3
Crandall JP, Tahari AK, Juergens RA, Brahmer JR, Rudin CM, Esposito G, Subramaniam DS, Knopp MV, Hall NC, Gajwani P, Leal JP, Lodge MA, O JH, Gabrielson EW, Shankar LK, Wahl RL. A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC. EJNMMI Res. 2017 Dec;7(1):8. doi: 10.1186/s13550-017-0258-3. Epub 2017 Jan 19. PMID: 28102506; PMCID: PMC5247390.
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Methoxylated Flavones from Salvia Mirzayanii Rech. f. and Esfand with Immunosuppressive Properties.

Iranian journal of pharmaceutical research : IJPR

Ayatollahi AM, Ghanadian M, Att-Ur-Rahman R, Mesaik MA, Khalid AS, Adeli F.
PMID: 26330886
Iran J Pharm Res. 2015;14(3):955-60.

Aerial parts of Salvia Mirzayanii was extracted with methanol. Methanol extract was suspended in water and defatted with petroleum ether. The defatted part was then partitioned between ethyl acetate and water. The ethyl acetate partition was chromatographed on a...

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Ayatollahi AM, Ghanadian M, Att-Ur-Rahman R, et al. Methoxylated Flavones from Salvia Mirzayanii Rech. f. and Esfand with Immunosuppressive Properties. Iran J Pharm Res. 2015;14(3):955-60
Ayatollahi, A. M., Ghanadian, M., Att-Ur-Rahman, R., Mesaik, M. A., Khalid, A. S., & Adeli, F. (2015). Methoxylated Flavones from Salvia Mirzayanii Rech. f. and Esfand with Immunosuppressive Properties. Iranian journal of pharmaceutical research : IJPR, 14(3), 955-60.
Ayatollahi, Abdul Majid, et al. "Methoxylated Flavones from Salvia Mirzayanii Rech. f. and Esfand with Immunosuppressive Properties." Iranian journal of pharmaceutical research : IJPR vol. 14,3 (2015): 955-60.
Ayatollahi AM, Ghanadian M, Att-Ur-Rahman R, Mesaik MA, Khalid AS, Adeli F. Methoxylated Flavones from Salvia Mirzayanii Rech. f. and Esfand with Immunosuppressive Properties. Iran J Pharm Res. 2015;14(3):955-60. PMID: 26330886; PMCID: PMC4518126.
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Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Le An, Pei Zhang, Adeli E, Yan Wang, Guangkai Ma, Feng Shi, Lalush DS, Weili Lin, Dinggang Shen.
PMID: 27187957
IEEE Trans Image Process. 2016 Jul;25(7):3303-3315. doi: 10.1109/TIP.2016.2567072. Epub 2016 May 11.

Positron emission tomography (PET) images are widely used in many clinical applications, such as tumor detection and brain disorder diagnosis. To obtain PET images of diagnostic quality, a sufficient amount of radioactive tracer has to be injected into a...

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Le An, Pei Zhang, Adeli E, et al. Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans Image Process. 2016;25(7):3303-3315doi: 10.1109/TIP.2016.2567072.
Le An, Pei Zhang, Adeli, E., Yan Wang, Guangkai Ma, Feng Shi, Lalush, D. S., Weili Lin, & Dinggang Shen. (2016). Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 25(7), 3303-3315. https://doi.org/10.1109/TIP.2016.2567072
Le An, et al. "Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 25,7 (2016): 3303-3315. doi: https://doi.org/10.1109/TIP.2016.2567072
Le An, Pei Zhang, Adeli E, Yan Wang, Guangkai Ma, Feng Shi, Lalush DS, Weili Lin, Dinggang Shen. Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans Image Process. 2016 Jul;25(7):3303-3315. doi: 10.1109/TIP.2016.2567072. Epub 2016 May 11. PMID: 27187957; PMCID: PMC5106345.
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Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging.

Oncotarget

Adeli A, Hess K, Mawrin C, Streckert EMS, Stummer W, Paulus W, Kemmling A, Holling M, Heindel W, Schmidt R, Spille DC, Sporns PB, Brokinkel B.
PMID: 30542511
Oncotarget. 2018 Nov 13;9(89):35974-35982. doi: 10.18632/oncotarget.26313. eCollection 2018 Nov 13.

Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on...

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Adeli A, Hess K, Mawrin C, et al. Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging. Oncotarget. 2018;9(89):35974-35982doi: 10.18632/oncotarget.26313.
Adeli, A., Hess, K., Mawrin, C., Streckert, E. M. S., Stummer, W., Paulus, W., Kemmling, A., Holling, M., Heindel, W., Schmidt, R., Spille, D. C., Sporns, P. B., & Brokinkel, B. (2018). Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging. Oncotarget, 9(89), 35974-35982. https://doi.org/10.18632/oncotarget.26313
Adeli, Alborz, et al. "Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging." Oncotarget vol. 9,89 (2018): 35974-35982. doi: https://doi.org/10.18632/oncotarget.26313
Adeli A, Hess K, Mawrin C, Streckert EMS, Stummer W, Paulus W, Kemmling A, Holling M, Heindel W, Schmidt R, Spille DC, Sporns PB, Brokinkel B. Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging. Oncotarget. 2018 Nov 13;9(89):35974-35982. doi: 10.18632/oncotarget.26313. eCollection 2018 Nov 13. PMID: 30542511; PMCID: PMC6267603.
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Boldine-Derived Alkaloids Inhibit the Activity of DNA Topoisomerase I and Growth of .

Frontiers in microbiology

García MT, Carreño D, Tirado-Vélez JM, Ferrándiz MJ, Rodrigues L, Gracia B, Amblar M, Ainsa JA, de la Campa AG.
PMID: 30087665
Front Microbiol. 2018 Jul 24;9:1659. doi: 10.3389/fmicb.2018.01659. eCollection 2018.

The spread of multidrug-resistant isolates of

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García MT, Carreño D, Tirado-Vélez JM, et al. Boldine-Derived Alkaloids Inhibit the Activity of DNA Topoisomerase I and Growth of . Front Microbiol. 2018;9:1659doi: 10.3389/fmicb.2018.01659.
García, M. T., Carreño, D., Tirado-Vélez, J. M., Ferrándiz, M. J., Rodrigues, L., Gracia, B., Amblar, M., Ainsa, J. A., & de la Campa, A. G. (2018). Boldine-Derived Alkaloids Inhibit the Activity of DNA Topoisomerase I and Growth of . Frontiers in microbiology, 91659. https://doi.org/10.3389/fmicb.2018.01659
García, María T, et al. "Boldine-Derived Alkaloids Inhibit the Activity of DNA Topoisomerase I and Growth of ." Frontiers in microbiology vol. 9 (2018): 1659. doi: https://doi.org/10.3389/fmicb.2018.01659
García MT, Carreño D, Tirado-Vélez JM, Ferrándiz MJ, Rodrigues L, Gracia B, Amblar M, Ainsa JA, de la Campa AG. Boldine-Derived Alkaloids Inhibit the Activity of DNA Topoisomerase I and Growth of . Front Microbiol. 2018 Jul 24;9:1659. doi: 10.3389/fmicb.2018.01659. eCollection 2018. PMID: 30087665; PMCID: PMC6066988.
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Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia.

Frontiers in neuroscience

Bhinge S, Long Q, Calhoun VD, Adali T.
PMID: 31607848
Front Neurosci. 2019 Sep 24;13:1006. doi: 10.3389/fnins.2019.01006. eCollection 2019.

Dynamic functional network connectivity (dFNC) analysis is a widely-used to study associations between dynamic functional correlations and cognitive abilities. Traditional methods analyze time-varying association of different spatial networks while assuming that the spatial network itself is stationary. However, there...

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Bhinge S, Long Q, Calhoun VD, et al. Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia. Front Neurosci. 2019;13:1006doi: 10.3389/fnins.2019.01006.
Bhinge, S., Long, Q., Calhoun, V. D., & Adali, T. (2019). Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia. Frontiers in neuroscience, 131006. https://doi.org/10.3389/fnins.2019.01006
Bhinge, Suchita, et al. "Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia." Frontiers in neuroscience vol. 13 (2019): 1006. doi: https://doi.org/10.3389/fnins.2019.01006
Bhinge S, Long Q, Calhoun VD, Adali T. Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia. Front Neurosci. 2019 Sep 24;13:1006. doi: 10.3389/fnins.2019.01006. eCollection 2019. PMID: 31607848; PMCID: PMC6769044.
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Effects of MK-7 Supplementation on Glycemic Status, Anthropometric Indices and Lipid Profile in Patients with Type 2 Diabetes: A Randomized Controlled Trial.

Diabetes, metabolic syndrome and obesity : targets and therapy

Karamzad N, Faraji E, Adeli S, Carson-Chahhoud K, Azizi S, Pourghassem Gargari B.
PMID: 32617013
Diabetes Metab Syndr Obes. 2020 Jun 26;13:2239-2249. doi: 10.2147/DMSO.S253014. eCollection 2020.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a prevalent disorder which accounts for 90-95% of diabetic patients. The aim of this study was to assess the effects of menaquinone (MK-7) supplementation on glycemic indices, anthropometric indices and lipid profile,...

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Karamzad N, Faraji E, Adeli S, et al. Effects of MK-7 Supplementation on Glycemic Status, Anthropometric Indices and Lipid Profile in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Metab Syndr Obes. 2020;13:2239-2249doi: 10.2147/DMSO.S253014.
Karamzad, N., Faraji, E., Adeli, S., Carson-Chahhoud, K., Azizi, S., & Pourghassem Gargari, B. (2020). Effects of MK-7 Supplementation on Glycemic Status, Anthropometric Indices and Lipid Profile in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Diabetes, metabolic syndrome and obesity : targets and therapy, 132239-2249. https://doi.org/10.2147/DMSO.S253014
Karamzad, Nahid, et al. "Effects of MK-7 Supplementation on Glycemic Status, Anthropometric Indices and Lipid Profile in Patients with Type 2 Diabetes: A Randomized Controlled Trial." Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 (2020): 2239-2249. doi: https://doi.org/10.2147/DMSO.S253014
Karamzad N, Faraji E, Adeli S, Carson-Chahhoud K, Azizi S, Pourghassem Gargari B. Effects of MK-7 Supplementation on Glycemic Status, Anthropometric Indices and Lipid Profile in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Metab Syndr Obes. 2020 Jun 26;13:2239-2249. doi: 10.2147/DMSO.S253014. eCollection 2020. PMID: 32617013; PMCID: PMC7326202.
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Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

An L, Adeli E, Liu M, Zhang J, Shen D.
PMID: 30101233
Med Image Comput Comput Assist Interv. 2016 Oct;9901:79-87. doi: 10.1007/978-3-319-46723-8_10. Epub 2016 Oct 02.

Alzheimer's disease (AD) is a progressive neurodegenerative disease that impairs a patient's memory and other important mental functions. In this paper, we leverage the mutually informative and complementary features from both structural magnetic resonance imaging (MRI) and single nucleotide...

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An L, Adeli E, Liu M, et al. Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. Med Image Comput Comput Assist Interv. 2016;9901:79-87doi: 10.1007/978-3-319-46723-8_10.
An, L., Adeli, E., Liu, M., Zhang, J., & Shen, D. (2016). Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 990179-87. https://doi.org/10.1007/978-3-319-46723-8_10
An, Le, et al. "Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis." Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention vol. 9901 (2016): 79-87. doi: https://doi.org/10.1007/978-3-319-46723-8_10
An L, Adeli E, Liu M, Zhang J, Shen D. Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. Med Image Comput Comput Assist Interv. 2016 Oct;9901:79-87. doi: 10.1007/978-3-319-46723-8_10. Epub 2016 Oct 02. PMID: 30101233; PMCID: PMC6085098.
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Variational AutoEncoder For Regression: Application to Brain Aging Analysis.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

Zhao Q, Adeli E, Honnorat N, Leng T, Pohl KM.
PMID: 32705091
Med Image Comput Comput Assist Interv. 2019 Oct;11765:823-831. doi: 10.1007/978-3-030-32245-8_91. Epub 2019 Oct 10.

While unsupervised variational autoencoders (VAE) have become a powerful tool in neuroimage analysis, their application to supervised learning is under-explored. We aim to close this gap by proposing a unified probabilistic model for learning the latent space of imaging...

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Zhao Q, Adeli E, Honnorat N, et al. Variational AutoEncoder For Regression: Application to Brain Aging Analysis. Med Image Comput Comput Assist Interv. 2019;11765:823-831doi: 10.1007/978-3-030-32245-8_91.
Zhao, Q., Adeli, E., Honnorat, N., Leng, T., & Pohl, K. M. (2019). Variational AutoEncoder For Regression: Application to Brain Aging Analysis. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 11765823-831. https://doi.org/10.1007/978-3-030-32245-8_91
Zhao, Qingyu, et al. "Variational AutoEncoder For Regression: Application to Brain Aging Analysis." Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention vol. 11765 (2019): 823-831. doi: https://doi.org/10.1007/978-3-030-32245-8_91
Zhao Q, Adeli E, Honnorat N, Leng T, Pohl KM. Variational AutoEncoder For Regression: Application to Brain Aging Analysis. Med Image Comput Comput Assist Interv. 2019 Oct;11765:823-831. doi: 10.1007/978-3-030-32245-8_91. Epub 2019 Oct 10. PMID: 32705091; PMCID: PMC7377006.
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Demethylation of m1A assisted degradation of the signal probe for rapid electrochemical detection of ALKBH3 activity with practical applications.

Talanta

Cheng W, Ma J, Tao Q, Adeel K, Xiang L, Liu D, Zhang Z, Li J.
PMID: 34942472
Talanta. 2021 Dec 16;240:123151. doi: 10.1016/j.talanta.2021.123151. Epub 2021 Dec 16.

ALKBH3 is an important marker for early diagnosis and histopathological grading of prostate cancer. However, the lack of a rapid and sensitive method to quantify the enzyme's activity in the current time necessitates the development of a new quantitative...

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Cheng W, Ma J, Tao Q, et al. Demethylation of m1A assisted degradation of the signal probe for rapid electrochemical detection of ALKBH3 activity with practical applications. Talanta. 2021;240:123151doi: 10.1016/j.talanta.2021.123151.
Cheng, W., Ma, J., Tao, Q., Adeel, K., Xiang, L., Liu, D., Zhang, Z., & Li, J. (2021). Demethylation of m1A assisted degradation of the signal probe for rapid electrochemical detection of ALKBH3 activity with practical applications. Talanta, 240123151. https://doi.org/10.1016/j.talanta.2021.123151
Cheng, Wenting, et al. "Demethylation of m1A assisted degradation of the signal probe for rapid electrochemical detection of ALKBH3 activity with practical applications." Talanta vol. 240 (2021): 123151. doi: https://doi.org/10.1016/j.talanta.2021.123151
Cheng W, Ma J, Tao Q, Adeel K, Xiang L, Liu D, Zhang Z, Li J. Demethylation of m1A assisted degradation of the signal probe for rapid electrochemical detection of ALKBH3 activity with practical applications. Talanta. 2021 Dec 16;240:123151. doi: 10.1016/j.talanta.2021.123151. Epub 2021 Dec 16. PMID: 34942472.
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Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.

IEEE signal processing magazine

Correa NM, Adali T, Li YO, Calhoun VD.
PMID: 20706554
IEEE Signal Process Mag. 2010;27(4):39-50. doi: 10.1109/MSP.2010.936725.

No abstract available.

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Correa NM, Adali T, Li YO, et al. Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data. IEEE Signal Process Mag. 2010;27(4):39-50doi: 10.1109/MSP.2010.936725.
Correa, N. M., Adali, T., Li, Y. O., & Calhoun, V. D. (2010). Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data. IEEE signal processing magazine, 27(4), 39-50. https://doi.org/10.1109/MSP.2010.936725
Correa, Nicolle M, et al. "Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data." IEEE signal processing magazine vol. 27,4 (2010): 39-50. doi: https://doi.org/10.1109/MSP.2010.936725
Correa NM, Adali T, Li YO, Calhoun VD. Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data. IEEE Signal Process Mag. 2010;27(4):39-50. doi: 10.1109/MSP.2010.936725. PMID: 20706554; PMCID: PMC2919827.
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Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties.

Proceedings of the IEEE. Institute of Electrical and Electronics Engineers

Adali T, Levin-Schwartz Y, Calhoun VD.
PMID: 26525830
Proc IEEE Inst Electr Electron Eng. 2015 Sep 01;103(9):1478-93. doi: 10.1109/JPROC.2015.2461624.

Fusion of information from multiple sets of data in order to extract a set of features that are most useful and relevant for the given task is inherent to many problems we deal with today. Since, usually, very little...

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Adali T, Levin-Schwartz Y, Calhoun VD. Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties. Proc IEEE Inst Electr Electron Eng. 2015;103(9):1478-93doi: 10.1109/JPROC.2015.2461624.
Adali, T., Levin-Schwartz, Y., & Calhoun, V. D. (2015). Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 103(9), 1478-93. https://doi.org/10.1109/JPROC.2015.2461624
Adali, Tülay, et al. "Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties." Proceedings of the IEEE. Institute of Electrical and Electronics Engineers vol. 103,9 (2015): 1478-93. doi: https://doi.org/10.1109/JPROC.2015.2461624
Adali T, Levin-Schwartz Y, Calhoun VD. Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties. Proc IEEE Inst Electr Electron Eng. 2015 Sep 01;103(9):1478-93. doi: 10.1109/JPROC.2015.2461624. PMID: 26525830; PMCID: PMC4624202.
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