Ngā hua rapu - Tim M. Govers

  • E whakaatu ana i te 1 - 5 hua o te 5
Whakamahine hua
  1. 1
    Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review

    Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review mā Robin J Vermeulen, Vebjørn Andersson, Jimmy Banken, Gerjon Hannink, Tim M. Govers, Maroeska M. Rovers, Marcel Gerardus Maria Olde Rikkert

    I whakaputaina 2025
    Whiwhi kuputuhi katoa
    Revisão
    Tiaki ki tētahi rārangi
    I tiakina i:
  2. 2
    Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment

    Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment mā Kicky G. van Leeuwen, Frederick J. A. Meijer, Steven Schalekamp, Matthieu Rutten, Ewoud J. van Dijk, Bram van Ginneken, Tim M. Govers, Maarten de Rooij

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  3. 3
    Cost‐effectiveness of a new urinary biomarker‐based risk score compared to standard of care in prostate cancer diagnostics – a decision analytical model

    Cost‐effectiveness of a new urinary biomarker‐based risk score compared to standard of care in prostate cancer diagnostics – a decision analytical model mā Siebren Dijkstra, Tim M. Govers, Rianne J. Hendriks, Jack A. Schalken, Wim Van Criekinge, Leander Van Neste, Janneke P.C. Grutters, J.P. Michiel Sedelaar, Inge M. van Oort

    I whakaputaina 2017
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  4. 4
    A cost-effectiveness study of PSMA-PET/CT for the detection of clinically significant prostate cancer

    A cost-effectiveness study of PSMA-PET/CT for the detection of clinically significant prostate cancer mā Bastiaan M. Privé, Tim M. Govers, Bas Israël, Marcel J. R. Janssen, Bart Timmermans, Steffie M. B. Peters, Michel de Groot, Patrik Zámecnik, Stan R. W. Wijn, Alexander Hoepping, J.P. Michiel Sedelaar, Jelle O. Barentsz, Inge M. van Oort, Maarten de Rooij, James Nagarajah

    I whakaputaina 2025
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  5. 5
    Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol

    Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol mā Ira Haraldsen, Christoffer Hatlestad‐Hall, Camillo Marra, Hanna Renvall, Fernando Maestú, Jorge Acosta-Hernández, Soraya Alfonsín, Vebjørn Andersson, Abhilash Anand, Victor Ayllón, Aleksandar Babić, Asma Belhadi, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz‐Ponce, Ainar Drews, Guido Maria Giuffrè, Jean Georges, Pedro Gil‐Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, D Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Øksengård, Javier Olazarán, Teemu Paajanen, José M. Peña, Luis Peña Quintana, Daniel lrabien Peniche, Ana S. Perez, Mohamed Radwan, Federico Ramírez‐Toraño, Andrea Rodríguez-Pedrero, Timo Saarinen, Mario Salas‐Carrillo, Riitta Salmelin, Sónia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin Jeanna Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini

    I whakaputaina 2024
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:

Ngā utauta rapu: