Suchergebnisse - "Habes, Mohamad"

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages von Rathore, Saima, Habes, Mohamad, Iftikhar, Muhammad Aksam, Shacklett, Amanda, Davatzikos, Christos

“… Neuroimaging has made it possible to measure pathological brain changes associated with Alzheimer's disease (AD) in vivo. Over the past decade, these measures …”
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Covariance shrinkage can assess and improve functional connectomes von Honnorat, Nicolas, Habes, Mohamad

“… •five covariance shrinkage methods are compared by processing HCP fMRI connectomes.•OAS and QuEST shrinkage methods produced the best functional connectomes.•a …”
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Deep neural network heatmaps capture Alzheimer’s disease patterns reported in a large meta-analysis of neuroimaging studies von Wang, Di, Honnorat, Nicolas, Fox, Peter T., Ritter, Kerstin, Eickhoff, Simon B., Seshadri, Sudha, Habes, Mohamad

“… •We assessed the ability of deep networks heatmaps to capture AD effects on the brain.•SVMs, CNNs and ResNets were trained to classify 502 ADNI T1 MRIs.•GGC, …”
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DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI von Rashid, Tanweer, Abdulkadir, Ahmed, Nasrallah, Ilya M., Ware, Jeffrey B., Liu, Hangfan, Spincemaille, Pascal, Romero, J. Rafael, Bryan, R. Nick, Heckbert, Susan R., Habes, Mohamad

“… Lobar cerebral microbleeds (CMBs) and localized non-hemorrhage iron deposits in the basal ganglia have been associated with brain aging, vascular disease and …”
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A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies von Srinivasan, Dhivya, Erus, Guray, Doshi, Jimit, Wolk, David A., Shou, Haochang, Habes, Mohamad, Davatzikos, Christos

“… Automatic segmentation of brain anatomy has been a key processing step in quantitative neuroimaging analyses. An extensive body of literature has relied on …”
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans von Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Erus, Guray, Nasrallah, Ilya, Launer, Lenore J, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Toledo, Jon B, Yaffe, Kristine, Sotiras, Aristeidis, Srinivasan, Dhivya, Espeland, Mark, Masters, Colin, Maruff, Paul, Fripp, Jurgen, Völzk, Henry, Johnson, Sterling C, Morris, John C, Albert, Marilyn S, Miller, Michael I, Bryan, R Nick, Grabe, Hans J, Resnick, Susan M, Wolk, David A, Davatzikos, Christos

“… Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were …”
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Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples von Janowitz, Deborah, Wittfeld, Katharina, Terock, Jan, Freyberger, Harald Jürgen, Hegenscheid, Katrin, Völzke, Henry, Habes, Mohamad, Hosten, Norbert, Friedrich, Nele, Nauck, Matthias, Domanska, Grazyna, Grabe, Hans Jörgen

“… We analyzed the putative association between abdominal obesity (measured in waist circumference) and gray matter volume (Study of Health in Pomerania: SHIP-2, …”
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Associations between sleep apnea and advanced brain aging in a large-scale population study von Weihs, Antoine, Frenzel, Stefan, Wittfeld, Katharina, Obst, Anne, Stubbe, Beate, Habes, Mohamad, Szentkirályi, András, Berger, Klaus, Fietze, Ingo, Penzel, Thomas, Hosten, Norbert, Ewert, Ralf, Völzke, Henry, Zacharias, Helena U, Grabe, Hans J

“… Abstract Advanced brain aging is commonly regarded as a risk factor for neurodegenerative diseases, for example, Alzheimer’s dementia, and it was suggested …”
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Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering von Yang, Zhijian, Wen, Junhao, Abdulkadir, Ahmed, Cui, Yuhan, Erus, Guray, Mamourian, Elizabeth, Melhem, Randa, Srinivasan, Dhivya, Govindarajan, Sindhuja T., Chen, Jiong, Habes, Mohamad, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Ferrucci, Luigi, Albert, Marilyn S., Johnson, Sterling C., Morris, John C., LaMontagne, Pamela, Marcus, Daniel S., Benzinger, Tammie L. S., Wolk, David A., Shen, Li, Bao, Jingxuan, Resnick, Susan M., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos

“… Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many …”
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Associated factors of white matter hyperintensity volume: a machine-learning approach von Grosu, Sergio, Rospleszcz, Susanne, Hartmann, Felix, Habes, Mohamad, Bamberg, Fabian, Schlett, Christopher L., Galie, Franziska, Lorbeer, Roberto, Auweter, Sigrid, Selder, Sonja, Buelow, Robin, Heier, Margit, Rathmann, Wolfgang, Mueller-Peltzer, Katharina, Ladwig, Karl-Heinz, Grabe, Hans J., Peters, Annette, Ertl-Wagner, Birgit B., Stoecklein, Sophia

“… To identify the most important parameters associated with cerebral white matter hyperintensities (WMH), in consideration of potential collinearity, we used a …”
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Higher performance for women than men in MRI-based Alzheimer’s disease detection von Klingenberg, Malte, Stark, Didem, Eitel, Fabian, Budding, Céline, Habes, Mohamad, Ritter, Kerstin

“… Introduction Although machine learning classifiers have been frequently used to detect Alzheimer’s disease (AD) based on structural brain MRI data, potential …”
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Smoking mediates the relationship between SES and brain volume: The CARDIA study von Dougherty, Ryan J., Moonen, Justine, Yaffe, Kristine, Sidney, Stephen, Davatzikos, Christos, Habes, Mohamad, Launer, Lenore J.

“… Investigate whether socioeconomic status (SES) was related to brain volume in aging related regions, and if so, determine whether this relationship was …”
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Mapping the relationships between structural brain MRI characteristics and sleep electroencephalography patterns: the Multi-Ethnic Study of atherosclerosis von Kozhemiako, Nataliia, Heckbert, Susan R, Castro-Diehl, Cecilia, Paquet, Caitlin B, Bertisch, Suzanne M, Habes, Mohamad, Fohner, Alison E, Bryan, Robert Nick, Nasrallah, Ilya, Hughes, Timothy M, Redline, Susan, Purcell, Shaun M

“… While brain morphology is well-established as a key factor influencing overall brain function, little is known about how brain structural properties are …”
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Trajectories in depressive symptoms and midlife brain health von Dintica, Christina S., Habes, Mohamad, Schreiner, Pamela J., Launer, Lenore J., Yaffe, Kristine

“… Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in …”
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SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline von Jon B Toledo, Tanweer Rashid, Hangfan Liu, Lenore Launer, Leslie M Shaw, Susan R Heckbert, Michael Weiner, Sudha Seshadri, Mohamad Habes, Alzheimer’s Disease Neuroimaging Initiative

“… BackgroundRecently, tau PET tracers have shown strong associations with clinical outcomes in individuals with cognitive impairment and cognitively unremarkable …”
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Inflammatory markers and imaging patterns of advanced brain aging in the general population von Janowitz, Deborah, Habes, Mohamad, Toledo, Jon B., Hannemann, Anke, Frenzel, Stefan, Terock, Jan, Davatzikos, Christos, Hoffmann, Wolfgang, Grabe, Hans Jörgen

“… Inflammaging describes the complexity between low-grade chronic inflammation with the pathogenesis of brain aging and Alzheimer´s disease (AD). We aimed to …”
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SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline von Toledo, Jon B., Rashid, Tanweer, Liu, Hangfan, Launer, Lenore, Shaw, Leslie M., Heckbert, Susan R., Weiner, Michael, Seshadri, Sudha, Habes, Mohamad

“… Recently, tau PET tracers have shown strong associations with clinical outcomes in individuals with cognitive impairment and cognitively unremarkable elderly …”
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Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals von Govindarajan, Sindhuja Tirumalai, Mamourian, Elizabeth, Erus, Guray, Abdulkadir, Ahmed, Melhem, Randa, Doshi, Jimit, Pomponio, Raymond, Tosun, Duygu, Bilgel, Murat, An, Yang, Sotiras, Aristeidis, Marcus, Daniel S., LaMontagne, Pamela, Benzinger, Tammie L. S., Espeland, Mark A., Masters, Colin L., Maruff, Paul, Launer, Lenore J., Fripp, Jurgen, Johnson, Sterling C., Morris, John C., Albert, Marilyn S., Bryan, R. Nick, Resnick, Susan M., Habes, Mohamad, Shou, Haochang, Wolk, David A., Nasrallah, Ilya M., Davatzikos, Christos

“… Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and increase dementia risk, but their specific magnetic …”
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Association of Brain Volumes and White Matter Injury With Race, Ethnicity, and Cardiovascular Risk Factors: The Multi‐Ethnic Study of Atherosclerosis von Austin, Thomas R., Nasrallah, Ilya M., Erus, Guray, Desiderio, Lisa M., Chen, Lin Y., Greenland, Philip, Harding, Barbara N., Hughes, Timothy M., Jensen, Paul N., Longstreth, WT, Post, Wendy S., Shea, Steven J., Sitlani, Colleen M., Davatzikos, Christos, Habes, Mohamad, Nick Bryan, R., Heckbert, Susan R.

“… Background Cardiovascular risk factors are associated with cognitive decline and dementia. Magnetic resonance imaging provides sensitive measurement of brain …”
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A Biomarker for Alzheimer’s Disease Based on Patterns of Regional Brain Atrophy von Frenzel, Stefan, Wittfeld, Katharina, Habes, Mohamad, Klinger-König, Johanna, Bülow, Robin, Völzke, Henry, Grabe, Hans Jörgen

“… It has been shown that Alzheimer's disease (AD) is accompanied by marked structural brain changes that can be detected several years before clinical diagnosis …”
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