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Davide Maimone
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2020 – today
- 2023
- [j3]Alessia Rondinella
, Elena Crispino
, Francesco Guarnera
, Oliver Giudice
, Alessandro Ortis
, Giulia Russo
, Clara Di Lorenzo, Davide Maimone
, Francesco Pappalardo
, Sebastiano Battiato
:
Boosting multiple sclerosis lesion segmentation through attention mechanism. Comput. Biol. Medicine 161: 107021 (2023) - 2022
- [j2]Edward De Brouwer, Thijs Becker, Yves Moreau
, Eva Kubala Havrdova
, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle
, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa
, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales
, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch
, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider
, Tunde Csepany, Cristina Ramo-Tello
, Liesbet M. Peeters:
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]. Comput. Methods Programs Biomed. 213: 106479 (2022) - 2021
- [j1]Edward De Brouwer
, Thijs Becker
, Yves Moreau
, Eva Kubala Havrdova
, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond
, Jens Kuhle
, Ludwig Kappos, Patrizia Sola
, Elisabetta Cartechini, Jeannette Lechner-Scott
, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal
, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano
, Katherine Buzzard, Eduardo Aguera-Morales
, Murat Terzi, Tamara Castillo Trivio
, Daniele Spitaleri
, Vincent Van Pesch
, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara
, Davide Maimone, Riadh Gouider
, Tunde Csepany, Cristina Ramo-Tello
, Liesbet M. Peeters
:
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. Comput. Methods Programs Biomed. 208: 106180 (2021) - 2020
- [i1]Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Longitudinal modeling of MS patient trajectories improves predictions of disability progression. CoRR abs/2011.04749 (2020)
2010 – 2019
- 2018
- [c1]Francesco Pappalardo
, Giulia Russo
, Marzio Pennisi
, Giuseppe Sgroi
, Giuseppe Alessandro Parasiliti Palumbo
, Santo Motta, Davide Maimone, Ferdinando Chiacchio:
Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome. BIBM 2018: 1380-1385
Coauthor Index
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last updated on 2024-08-05 21:20 CEST by the dblp team
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