Results 241 to 250 of about 650,346 (361)
Discordance of Dopaminergic Dysfunction and Subcortical Atrophy by α‐Synuclein Status in Sporadic and Genetic Parkinson's Disease
Movement Disorders, EarlyView.Abstract Background
Parkinson's disease (PD) is characterized by predominantly neuronal α‐synuclein pathology and dopaminergic dysfunction. Cerebrospinal fluid (CSF) seeding amplification assays (SAA) detect α‐synuclein aggregates in vivo, but not all patients with PD have a positive SAA.Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, Joaquin A. Vizcarra, Yue Li, Long Xie, Paul A. Yushkevich, Leslie M. Shaw, Jacob G. Dubroff, Parkinson's Progression Markers Initiative, Kenneth Marek, Shirley Lasch, Caroline Tanner, Tanya Simuni, Christopher Coffey, Karl Kieburtz, Renee Wilson, Brit Mollenhauer, Site Investigator, Douglas Galasko, Site Investigator, Tatiana Foroud, Lana Chahine, Andrew Siderowf, John Seibyl, Arthur Toga, Andrew Singleton, Daniel Weintraub, John Trojanowski, Leslie Shaw, Duygu Tosun‐Turgut, Kathleen Poston, Susan Bressman, Kalpana M. Merchant, Werner Poewe, Todd Sherer, Sohini Chowdhury, Mark Frasier, Catherine Kopil, Anna Naito, Vanessa Arnedo, Ray Dorsey, Cynthia Casaceli, Imaging Core, Nichole Daegele, Justin Albani1 Statistics Core, Chelsea Caspell‐Garcia, Liz Uribe, Eric Foster, Jeff Long, Nick Seedorff, Karen Crawford, Danielle Elise Smith, Paola Casalin, Giulia Malferrari, Cheryl Halter, David Russell, Stewart Factor, Penelope Hogarth, David Standaert, Amy Amara, Robert Hauser, Joseph Jankovic, Matthew Stern, Shu‐Ching Hu, Gretchen Todd, Rachel Saunders‐Pullman, Irene Richard, Marie H Saint‐Hilaire, Klaus Seppi, Holly Shill, Hubert Fernandez, Claudia Trenkwalder, Wolfgang Oertel, Daniela Berg, Kathrin Brockman, Isabel Wurster, Liana Rosenthal, Yen Tai, Nicola Pavese, Paolo Barone, Stuart Isaacson, Alberto Espay, Dominic Rowe, Melanie Brandabur, James Tetrud, Grace Liang, Alex Iranzo, Eduardo Tolosa, Karen Marder, Maria de Arriba Sanchez, Leonidis Stefanis, Maria Jose Marti, Javier Ruiz Martinez, Jean‐Christophe Corvol, Jan O Assly, Salima Brillman, Nir Giladi, Debra Smejdir, Julia Pelaggi, Farah Kausar, Linda Rees, Barbara Sommerfield, Madeline Cresswell, Courtney Blair, Karen Williams, Grace Zimmerman, Stephanie Guthrie, Ashlee Rawlins, Leigh Donharl, Christine Hunter, Baochan Tran, Abigail Darin, Carly Linder, Marne Baca, Heli Venkov, Cathi‐Ann Thomas, Raymond James, Beatrice Heim, Paul Deritis, Fabienne Sprenger, Deborah Raymond, Diana Willeke, Zoran Obradov, Jennifer Mule, Nancy Monahan, Katharina Gauss, Deborah Fontaine, Daniel Szpak, Arita McCoy, Becky Dunlop, Laura Marie Payne, Susan Ainscough, Lisbeth Carvajal, Rebecca Silverstein, Kristy Espay, Madelaine Ranola, Elisabet Mondragon Rezola, Helen Mejia Santana, Maria Stamelou, Alicia Garrido, Stephanie Carvalho, Anne Grete Kristiansen, Krista Specketer, Anat Mirlman, Maurizio Facheris, Holly Soares, Mark A. Mintun, Jesse Cedarbaum, Peggy Taylor, Danna Jennings, Lawrence Slieker, Brian McBride, Colin Watson, Etienne Montagut, Zulfiqar Haider Sheikh, Baris Bingol, Remi Forrat, Pablo Sardi, Tanya Fischer, Alastair D. Reith, Jan Egebjerg, Lone Frydelund Larsen, Nathalie Breysse, Didier Meulien, Barbara Saba, Vera Kiyasova, Chris Min, Thomas McAvoy, Robert Umek, Philip Iredale, Jeremy Edgerton, Susan De Santi, Christian Czech, Frank Boess, Jeffrey Sevigny, Thomas Kremer, Igor Grachev, Kaplana Merchant, Andreja Avbersek, Pierandrea Muglia, Alexandra Stewart, Rene Prashad, Johannes Taucher, Andrew Siderowf, David A. Wolk, Ilya M. Nasrallah +186 morewiley +1 more sourceOptimizing MRI annotation workflows for high-accuracy deep learning thigh muscle segmentation in athletes. [PDF]
Radiol AdvSlutsky-Ganesh AB, Baup S, Bharadwaj UU, Slaton JA, Valencia M, Diekfuss JA, Zuleger TM, Warren SM, Barber Foss KD, Hammond K, Xerogeanes JW, van Heeswijk RB, Myer GD, Ogier AC. +13 moreeuropepmc +1 more sourcePersonalized Differential Privacy for Ridge Regression Under Output Perturbation
Naval Research Logistics (NRL), EarlyView.ABSTRACT
The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani +3 morewiley +1 more sourceMulti‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
Naval Research Logistics (NRL), EarlyView.ABSTRACT
Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...Matthew Repasky, He Wang, Yao Xiewiley +1 more source