CONDUCTOR INTERCONNECTION APPARATUS von CHRISTIAN SCHOLLY, JOHN HOWARD SNYDER, CHARLES MCGONIGAL

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DE2301398 von SNYDER, JOHN HOWARD, FALLSTON, MD, MCGONIGAL, CHARLES, GRAYSON, ELLIS JUN., BENJAMIN CLEMENT, SNELLVILLE, SCHOLLY, CHRISTIAN, ATLANTA

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DE2301398 von SNYDER, JOHN HOWARD, FALLSTON, MD, MCGONIGAL, CHARLES, GRAYSON, ELLIS JUN., BENJAMIN CLEMENT, SNELLVILLE, SCHOLLY, CHRISTIAN, ATLANTA

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ANSCHLUSSVORRICHTUNG FUER ISOLIERTE, ELEKTRISCHE LEITUNGSADERN von SNYDER, JOHN HOWARD, FALLSTON, MD, MCGONIGAL, CHARLES, GRAYSON, ELLIS JUN., BENJAMIN CLEMENT, SNELLVILLE, SCHOLLY, CHRISTIAN, ATLANTA

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Chromatin accessibility associates with protein-RNA correlation in human cancer von Sanghi, Akshay, Gruber, Joshua J., Metwally, Ahmed, Jiang, Lihua, Reynolds, Warren, Sunwoo, John, Orloff, Lisa, Chang, Howard Y., Kasowski, Maya, Snyder, Michael P.

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Psychophysics of sweet and fat perception in obesity: problems, solutions and new perspectives von Bartoshuk, Linda M, Duffy, Valerie B, Hayes, John E, Moskowitz, Howard R, Snyder, Derek J

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Sensitization in Transplantation: Assessment of Risk (STAR) 2017 Working Group Meeting Report von Tambur, Anat R., Campbell, Patricia, Claas, Frans H., Feng, Sandy, Gebel, Howard M., Jackson, Annette M., Mannon, Roslyn B., Reed, Elaine F., Tinckam, Kathryn, Askar, Medhat, Chandraker, Anil, Chang, Patricia P., Colvin, Monica, Demetris, Anthony‐Jake, Diamond, Joshua M., Dipchand, Anne I., Fairchild, Robert L., Ford, Mandy L., Friedewald, John, Gill, Ronald G., Glotz, Denis, Goldberg, Hilary, Hachem, Ramsey, Knechtle, Stuart, Kobashigawa, Jon, Levine, Deborah J., Levitsky, Joshua, Mengel, Michael, Milford, Edgar, Newell, Kenneth A., O’Leary, Jacqueline G., Palmer, Scott, Randhawa, Parmjeet, Smith, John, Snyder, Laurie, Starling, Randall C., Sweet, Stuart, Taner, Timucin, Taylor, Craig J., Woodle, Steve, Zeevi, Adriana, Nickerson, Peter

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Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference von Young, Alexandra L, Marinescu, Razvan V, Oxtoby, Neil P, Bocchetta, Martina, Yong, Keir, Firth, Nicholas C, Cash, David M, Thomas, David L, Dick, Katrina M, Cardoso, Jorge, van Swieten, John, Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B, Graff, Caroline, Tagliavini, Fabrizio, Frisoni, Giovanni B, Laforce, Robert, Finger, Elizabeth, de Mendonça, Alexandre, Sorbi, Sandro, Warren, Jason D, Crutch, Sebastian, Fox, Nick C, Ourselin, Sebastien, Schott, Jonathan M, Rohrer, Jonathan D, Alexander, Daniel C

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Effects of Testosterone Treatment in Older Men von Snyder, Peter J, Bhasin, Shalender, Cunningham, Glenn R, Matsumoto, Alvin M, Stephens-Shields, Alisa J, Cauley, Jane A, Gill, Thomas M, Barrett-Connor, Elizabeth, Swerdloff, Ronald S, Wang, Christina, Ensrud, Kristine E, Lewis, Cora E, Farrar, John T, Cella, David, Rosen, Raymond C, Pahor, Marco, Crandall, Jill P, Molitch, Mark E, Cifelli, Denise, Dougar, Darlene, Fluharty, Laura, Resnick, Susan M, Storer, Thomas W, Anton, Stephen, Basaria, Shehzad, Diem, Susan J, Hou, Xiaoling, Mohler, Emile R, Parsons, J. Kellogg, Wenger, Nanette K, Zeldow, Bret, Landis, J. Richard, Ellenberg, Susan S

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Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—An emerging role for gut microbiome von MahmoudianDehkordi, Siamak, Arnold, Matthias, Nho, Kwangsik, Ahmad, Shahzad, Jia, Wei, Xie, Guoxiang, Louie, Gregory, Kueider-Paisley, Alexandra, Moseley, M. Arthur, Thompson, J. Will, St John Williams, Lisa, Tenenbaum, Jessica D., Blach, Colette, Baillie, Rebecca, Han, Xianlin, Bhattacharyya, Sudeepa, Toledo, Jon B., Schafferer, Simon, Klein, Sebastian, Koal, Therese, Risacher, Shannon L., Kling, Mitchel Allan, Motsinger-Reif, Alison, Rotroff, Daniel M., Jack, John, Hankemeier, Thomas, Bennett, David A., De Jager, Philip L., Trojanowski, John Q., Shaw, Leslie M., Weiner, Michael W., Doraiswamy, P. Murali, van Duijn, Cornelia M., Saykin, Andrew J., Kastenmüller, Gabi, Kaddurah-Daouk, Rima

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Rapid-Scan Radar Observations of an Oklahoma Tornadic Hailstorm Producing Giant Hail von Witt, Arthur, Burgess, Donald W., Seimon, Anton, Allen, John T., Snyder, Jeffrey C., Bluestein, Howard B.

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Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative von Veitch, Dallas P., Weiner, Michael W., Aisen, Paul S., Beckett, Laurel A., Cairns, Nigel J., Green, Robert C., Harvey, Danielle, Jack, Clifford R., Jagust, William, Morris, John C., Petersen, Ronald C., Saykin, Andrew J., Shaw, Leslie M., Toga, Arthur W., Trojanowski, John Q.

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Longitudinal Associations of Blood Phosphorylated Tau181 and Neurofilament Light Chain With Neurodegeneration in Alzheimer Disease von Moscoso, Alexis, Grothe, Michel J, Ashton, Nicholas J, Karikari, Thomas K, Lantero Rodríguez, Juan, Snellman, Anniina, Suárez-Calvet, Marc, Blennow, Kaj, Zetterberg, Henrik, Schöll, Michael

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A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI von Iglesias, Juan Eugenio, Augustinack, Jean C., Nguyen, Khoa, Player, Christopher M., Player, Allison, Wright, Michelle, Roy, Nicole, Frosch, Matthew P., McKee, Ann C., Wald, Lawrence L., Fischl, Bruce, Van Leemput, Koen

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Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsets von Guo, Michael H, Sama, Prashanth, LaBarre, Brenna A, Lokhande, Hrishikesh, Balibalos, John, Chu, Ci, Du, Xiaomi, Kheradpour, Pouya, Kim, Charles C, Oniskey, Taylor, Snyder, Thomas, Soghoian, Damien Z, Weiner, Howard L, Chitnis, Tanuja, Patsopoulos, Nikolaos A

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Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers von Gupta, Yubraj, Lama, Ramesh Kumar, Kwon, Goo-Rak

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Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis von Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C.

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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects von Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi

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QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy von Guha Roy, Abhijit, Conjeti, Sailesh, Navab, Nassir, Wachinger, Christian

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