Search Results - "Lublin, Fred"

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  1. 1

    Clinical Course of Multiple Sclerosis by Klineova, Sylvia, Lublin, Fred D

    “…The 1996 originally established multiple sclerosis (MS) subtypes, based solely on clinical impression and consensus, were revised in 2013 to review potential…”
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    New multiple sclerosis phenotypic classification by Lublin, Fred D

    Published in European neurology (01-01-2014)
    “…In 1996, the clinical course of multiple sclerosis (MS) was characterized as relapsing-remitting, primary progressive, secondary progressive or progressive…”
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    How patients with multiple sclerosis acquire disability by Lublin, Fred D, Häring, Dieter A, Ganjgahi, Habib, Ocampo, Alex, Hatami, Farhad, Čuklina, Jelena, Aarden, Piet, Dahlke, Frank, Arnold, Douglas L, Wiendl, Heinz, Chitnis, Tanuja, Nichols, Thomas E, Kieseier, Bernd C, Bermel, Robert A

    Published in Brain (London, England : 1878) (14-09-2022)
    “…Patients with multiple sclerosis acquire disability either through: (1) Relapse-associated worsening (RAW), or (2) progression independent of relapse activity…”
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    The 2013 clinical course descriptors for multiple sclerosis: A clarification by Lublin, Fred D., Coetzee, Timothy, Cohen, Jeffrey A., Marrie, Ruth A., Thompson, Alan J.

    Published in Neurology (16-06-2020)
    “…The clinical courses of multiple sclerosis were defined in 1996 and refined in 2013 to provide a time-based assessment of the current status of the individual…”
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    Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI by Narayana, Ponnada A, Coronado, Ivan, Sujit, Sheeba J, Wolinsky, Jerry S, Lublin, Fred D, Gabr, Refaat E

    Published in Radiology (01-02-2020)
    “…Background Enhancing lesions on MRI scans obtained after contrast material administration are commonly thought to represent disease activity in multiple…”
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    MS becomes a treatable disease: 30 years later by Lublin, Fred D, Krieger, Stephen C

    Published in Multiple sclerosis (01-06-2023)
    “…30 years ago the first disease-modifying therapy for relapsing multiple sclerosis was approved for use in the United States and soon thereafter across the…”
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    Randomized study combining interferon and glatiramer acetate in multiple sclerosis by Lublin, Fred D., Cofield, Stacey S., Cutter, Gary R., Conwit, Robin, Narayana, Ponnada A., Nelson, Flavia, Salter, Amber R., Gustafson, Tarah, Wolinsky, Jerry S.

    Published in Annals of neurology (01-03-2013)
    “…Objective A double‐blind, randomized, controlled study was undertaken to determine whether combined use of interferon β‐1a (IFN) 30μg intramuscularly weekly…”
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    Association of Age With Contrast-Enhancing Lesions Across the Multiple Sclerosis Disease Spectrum by Koch, Marcus W., Mostert, Jop, Zhang, Yinan, Wolinsky, Jerry S., Lublin, Fred D., Strijbis, Eva, Cutter, Gary

    Published in Neurology (28-09-2021)
    “…To investigate the association of age and the presence of contrast-enhancing lesions (CELs) on cranial MRI scans in different disease courses of multiple…”
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    Comparison of the EDSS, Timed 25-Foot Walk, and the 9-Hole Peg Test as Clinical Trial Outcomes in Relapsing-Remitting Multiple Sclerosis by Koch, Marcus W, Mostert, Jop P, Wolinsky, Jerry S, Lublin, Fred D, Uitdehaag, Bernard, Cutter, Gary R

    Published in Neurology (19-10-2021)
    “…Clinical trials in relapsing-remitting multiple sclerosis (RRMS) usually use the Expanded Disability Status Scale (EDSS) as their primary disability outcome…”
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    Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study by Gabr, Refaat E, Coronado, Ivan, Robinson, Melvin, Sujit, Sheeba J, Datta, Sushmita, Sun, Xiaojun, Allen, William J, Lublin, Fred D, Wolinsky, Jerry S, Narayana, Ponnada A

    Published in Multiple sclerosis (01-09-2020)
    “…Objective: To investigate the performance of deep learning (DL) based on fully convolutional neural network (FCNN) in segmenting brain tissues in a large…”
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    Safety and efficacy of MD1003 (high-dose biotin) in patients with progressive multiple sclerosis (SPI2): a randomised, double-blind, placebo-controlled, phase 3 trial by Cree, Bruce A C, Cutter, Gary, Wolinsky, Jerry S, Freedman, Mark S, Comi, Giancarlo, Giovannoni, Gavin, Hartung, Hans-Peter, Arnold, Douglas, Kuhle, Jens, Munschauer, Frederick E, Sedel, Frédéric, Lublin, Fred D, Reingold, Stephen, Duquette, Pierre, Derfuss, Tobias, Sormani, Maria Pia, Lisak, Robert P., Graves, Jennifer, Krieger, Stephen, Zabad, Rana K., Newsome, Scott, MacDonell, Richard, Marriott, Mark, De Klippel, Nina, Willekens, Barbara, Devonshire, Virginia, Freedman, Mark, Girard, J Marc, Giacomini, Paul, McKelvey, Roger, Witkowski, Ludivine, Ampapa, Radek, Preiningerova, Jana Lizrova, Meluzinova, Eva, Talab, Radomir, Vachova, Marta, Aktas, Orhan, Buttmann, Mathias, Birte, Elias-Hamp, Kuempfel, Tania, Friedemann, Paul, Rau, Daniela, Reifschneider, Gerd, Sokolowski, Piotr, Tumani, Hayrettin, Pozzilli, Carlo, Klosek, Agata, Koscielniak, Jozef, Waldemar, Fryze, Zajda, Malgorzata, Gonzalez, Rafael Arroyo, Ayuso, Guillermo Izquierdo, Sanchez, Victoria Fernandez, Guevara, Celia Oreja, Rodriguez, Jose Enrique Martinez, Montalban, Xavier, Ramio-Torrenta, Lluis, Brundin, Lou, Lycke, Jan, Guadagno, Joe, Mahad, Don, Pace, Adrian, Schmierer, Klaus, Toosy, Ahmed, Webb, Stewart, Agius, Mark, Apperson, Michelle, Bagert, Bridget, Bandari, Daniel, Bernitsas, Evanthia, Calkwood, Jonathan, Carter, Jonathan, Conway, Devon, Cooper, Joanna, Corboy, John, Cree, Bruce, Freedman, Mitchel, Ford, Corey, Fox, Edward, Goldman, Myla, Kita, Mariko, Lynch, Sharon, Miller, Aaron, Moses, Harold, Naismith, Robert, Picone, Mary Ann, Perminder, Bhatia, Rae-Grant, Alexander, Rammohan, Kottil, Reder, Anthony, Riley, Claire, Robertson, Derrick, Rowe, Vernon, Saidha, Shiv, Samkoff, Lawrence, Severson, Christopher, Smoot, Kyle, Stoll, Sharon, Weinstock-Guttman, Bianca, Yathiraj, Sanjay

    Published in Lancet neurology (01-12-2020)
    “…There is an unmet need to develop therapeutic interventions directed at the neurodegeneration that underlies progression in multiple sclerosis. High-dose,…”
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    Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size by Narayana, Ponnada A., Coronado, Ivan, Sujit, Sheeba J., Wolinsky, Jerry S., Lublin, Fred D., Gabr, Refaat E.

    Published in Journal of magnetic resonance imaging (01-05-2020)
    “…Background The dependence of deep‐learning (DL)‐based segmentation accuracy of brain MRI on the training size is not known. Purpose To determine the required…”
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