Massimo Filippi

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All published works
Action Title Year Authors
+ PDF Chat Semi-Supervised Diffusion Model for Brain Age Prediction 2024 Ayodeji Ijishakin
Sophie Martin
Florence J. Townend
Federica Agosta
Edoardo Gioele Spinelli
Silvia Basaia
Paride Schito
Yuri Falzone
Massimo Filippi
James H. Cole
+ Quantification of Thalamic Volume in Multiple Sclerosis: From the Multicenter INNI Dataset Towards the Clinical Application (P10-3.002) 2023 Loredana Storelli
Elisabetta Pagani
PatriziĂ  Pantano
Gioacchino Tedeschi
Nicola De Stefano
Paolo Preziosa
Maria A. Rocca
Massimo Filippi
+ PDF Chat The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study 2022 Marta Ponzano
Irene Schiavetti
Roberto Bergamaschi
Enrico Pisoni
Andrea Bellavia
Giulia Mallucci
Luca Carmisciano
Matilde Inglese
Cinzia Cordioli
Girolama Alessandra Marfia
+ Evaluation of the combined effect of mobility and seasonality on the COVID-19 pandemic: a Lombardy-based study. 2022 Yuri Falzone
Luca Bosco
Giacomo Sferruzza
Tommaso Russo
Marco Vabanesi
Carlo Signorelli
Massimo Filippi
+ PDF Chat COVID-19 vaccine uptake among family caregivers of people with dementia: The role of attitudes toward vaccination, perceived social support and personality traits 2022 Francesco Bruno
Antonio Malvaso
Francesca Chiesi
Valentina LaganĂ 
Rocco Servidio
Valeria Isella
Carlo Ferrarese
Federica Gottardi
Eloisa Stella
Federica Agosta
+ Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch? 2022 Enamundram Naga Karthik
Anne Kerbrat
Pierre Labauge
Tobias Granberg
Jason F. Talbott
Daniel S. Reich
Massimo Filippi
Rohit Bakshi
Virginie Callot
Sarath Chandar
+ The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis 2021 Roberto Bergamaschi
Marta Ponzano
Irene Schiavetti
Luca Carmisciano
Cinzia Cordioli
Massimo Filippi
Marta Radaelli
Paolo Immovilli
Marco Capobianco
Nicola De Rossi
+ PDF Chat Evaluation of the Combined Effect of Mobility and Seasonality on the COVID-19 Pandemic: A Lombardy-Based Study 2021 Yuri Falzone
Luca Bosco
Giacomo Sferruzza
Tommaso Russo
Marco Vabanesi
Massimo Filippi
+ PDF Chat Evaluation of the Combined Effect of Mobility and Seasonality on the COVID-19 Pandemic: A Lombardy-Based Study 2021 Yuri Falzone
Luca Bosco
Giacomo Sferruzza
Tommaso Russo
Marco Vabanesi
Massimo Filippi
+ Mega-Analysis Methods in ENIGMA: The Experience of the Generalized Anxiety Disorder Working Group 2020 André Zugman
Anita Harrewijn
Elise M. Cardinale
Hannah Zwiebel
Gabrielle F. Freitag
Katy E. Werwath
Janna Marie Bas‐Hoogendam
Nynke A. Groenewold
M. Aghajani
Kevin Hilbert
+ PDF Chat Multi-branch convolutional neural network for multiple sclerosis lesion segmentation 2019 Shahab Aslani
Michael Dayan
Loredana Storelli
Massimo Filippi
Vittorio Murino
Maria A. Rocca
Diego Sona
+ PDF Chat Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks 2018 Charley Gros
Benjamin De Leener
Atef Badji
Josefina Maranzano
Dominique Eden
Sara M. Dupont
Jason F. Talbott
Ren Zhuoquiong
Yaou Liu
Tobias Granberg
+ Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks 2018 Charley Gros
Benjamin De Leener
Atef Badji
Josefina Maranzano
Dominique Eden
Sara M. Dupont
Jason F. Talbott
Ren Zhuoquiong
Yaou Liu
Tobias Granberg
+ Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks 2018 Charley Gros
Benjamin De Leener
Atef Badji
Josefina Maranzano
Dominique Eden
Sara M. Dupont
Jason F. Talbott
Ren Zhuoquiong
Yaou Liu
Tobias Granberg
+ Imaging signature of multiple sclerosis phenotypes in grey matter. 2016 Arman Eshaghi
FerrĂĄn Prados
WJ Brownlee
Carmen Tur
S. H. P. van de Pavert
Niamh Cawley
D. R. Altmann
Declan Chard
Nicola De Stefano
Maria Laura Stromillo
+ Dynamic pattern of clinical and MRI findings in a tumefactive demyelinating lesion: A case report 2015 Paolo Preziosa
Vittorio Martinelli
Lucia Moiola
Marta Radaelli
Simonetta Gerevini
Donata Guidetti
Paolo Immovilli
Emanuele Michieletti
Paola Scagnelli
M. Comola
+ PDF Chat Erratum to: Atypical idiopathic inflammatory demyelinating lesions: prognostic implications and relation to multiple sclerosis 2014 M Wallner-Blazek
Àlex Rovira
Massimo Filippi
Maria A. Rocca
David H. Miller
Klaus Schmierer
Jette Lautrup Frederiksen
Achim Gass
Hugo Pereira Pinto Gama
Charles Peter Tilbery
+ PDF Chat A search for new MRI criteria for dissemination in space in subjects with a clinically isolated syndrome 2009 T. Korteweg
Mar Tintoré
Bernard M.J. Uitdehaag
Dirk L. Knol
Hugo Vrenken
Àlex Rovira
Jette Lautrup Frederiksen
David H. Miller
Kryshani Fernando
Massimo Filippi
+ Optimizing diffusion measurements for large-scale, multicenter multiple sclerosis trials: a pan-European study 2008 Marco Rovaris
Joy Hirsch
Elisabetta Pagani
Elisabetta Perego
Achim Gass
Petra J. W. Pouwels
Stefan D. Roosendaal
Frederik Barkhof
Federica Agosta
Domenico Caputo
+ Optimising diffusion measurements for large-scale, multicentre multiple sclerosis trials: a pan-European study 2008 Elisabetta Perego
Marco Rovaris
Jochen G. Hirsch
Elisabetta Pagani
Achim Gass
Petra J. W. Pouwels
S Rosendaal
Frederik Barkhof
Federica Agosta
Domenico Caputo
+ Statistical Issues Related to the Use of MRI Data in Multiple Sclerosis 2007 Maria Pia Sormani
Massimo Filippi
+ Modelling new enhancing MRI lesion counts in multiple sclerosis 2001 M.P. Sormani
Paolo Bruzzi
Marco Rovaris
Frederik Barkhof
G. Comi
D.H. Miller
G.R. Cutter
Massimo Filippi
+ A quality network model for the daily care of multiple sclerosis 2000 L.D. Blumhardt
B.J.D. Vermeij
Maria Pia Amato
O. Andersen
G. Edan
O. Fernandez
Massimo Filippi
J.W. Jr. Haas
O.R. Hommes
P. Rieckmann
+ Modelling MRI enhancing lesion counts in multiple sclerosis using a negative binomial model: implications for clinical trials 1999 Maria Pia Sormani
Paolo Bruzzi
D. H. Miller
Claudio Gasperini
Frederik Barkhof
Massimo Filippi
+ Lesion load reproducibility and statistical sensitivity of clinical trials in multiple sclerosis 1999 Keith S. Cover
John Petkau
D. K. B. Li
D. W. Paty
Massimo Filippi
Maria Pia Sormani
Frederik Barkhof
Jan Hein van Waesberghe
M. L. Gawne‐Cain
David H. Miller
+ Intra- and inter-observer agreement of brain MRI lesion volume measurements in multiple sclerosis 1995 Massimo Filippi
Mark A. Horsfield
S. Bressi
Vittorio Martinelli
Corrado Baratti
Paolo Reganati
A. Campi
D. H. Miller
Gıancarlo Comı
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries 2020 You Li
Harry Campbell
Durga Kulkarni
Alice Harpur
Madhurima Nundy
Xin Wang
Harish Nair
2
+ Simulated Sunlight Rapidly Inactivates SARS-CoV-2 on Surfaces 2020 Shanna Ratnesar-Shumate
Gregory Williams
Brian Green
M Krause
Brian Holland
Stewart Wood
J. Kyle Bohannon
Jeremy A. Boydston
Denise Freeburger
Idris Hooper
2
+ PDF Chat Second wave COVID-19 pandemics in Europe: a temporal playbook 2020 Giacomo Cacciapaglia
Corentin Cot
Francesco Sannino
2
+ Community movement and COVID-19: a global study using Google's Community Mobility Reports 2020 MihĂĄly Sulyok
Mark Walker
2
+ PDF Chat A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics 2013 Anne Cori
Neil M. Ferguson
Christophe Fraser
Simon Cauchemez
2
+ Correlation between climate indicators and COVID-19 pandemic in New York, USA 2020 Muhammad Farhan Bashir
Benjiang Ma
Boubellouta Bilal
Bushra Komal
Muhammad Adnan Bashir
Duojiao Tan
Madiha Bashir
2
+ Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia 2020 Ramadhan Tosepu
Joko Gunawan
Devi Savitri Effendy
La Ode Ali Imran Ahmad
Hariati Lestari
Hartati Bahar
Pitrah Asfian
2
+ PDF Chat Misconceptions about weather and seasonality must not misguide COVID-19 response 2020 Colin J. Carlson
Ana C. R. Gomez
Shweta Bansal
Sadie J. Ryan
2
+ PDF Chat Brain tumor segmentation with Deep Neural Networks 2016 Mohammad Havaei
Axel Davy
David Warde-Farley
Antoine Biard
Aaron Courville
Yoshua Bengio
Chris Pal
Pierre-Marc Jodoin
Hugo Larochelle
2
+ Global evidence for ultraviolet radiation decreasing COVID-19 growth rates 2020 Tamma Carleton
Jules Cornetet
Peter Huybers
Kyle C. Meng
J. Proctor
2
+ PDF Chat Airborne SARS-CoV-2 Is Rapidly Inactivated by Simulated Sunlight 2020 Michael Schuit
Shanna Ratnesar-Shumate
Jason Yolitz
Gregory Williams
Wade Weaver
Brian Green
David Miller
M Krause
Katie Beck
Stewart Wood
2
+ Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China 2020 Yueling Ma
Ya-Dong Zhao
Jiangtao Liu
Xiaotao He
Bo Wang
Shihua Fu
Jun Yan
Jingping Niu
Ji Zhou
Bin Luo
2
+ Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks 2018 Snehashis Roy
John A. Butman
Daniel S. Reich
Peter A. Calabresi
Dzung L. Pham
2
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
2
+ PDF Chat COVID-19 and Italy: what next? 2020 Andrea Remuzzi
Giuseppe Remuzzi
2
+ The effect of human mobility and control measures on the COVID-19 epidemic in China 2020 Moritz U. G. Kraemer
Chia-Hung Yang
Bernardo Gutiérrez
Chieh‐Hsi Wu
Brennan Klein
David M. Pigott
Louis du Plessis
Nuno R. Faria
Ruoran Li
William P. Hanage
2
+ PDF Chat Maximum Daily Temperature, Precipitation, Ultraviolet Light, and Rates of Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in the United States 2020 Shiv T. Sehra
Justin D. Salciccioli
Douglas J. Wiebe
Shelby Fundin
Joshua F. Baker
2
+ PDF Chat Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study 2020 Hamada S. Badr
Hongru Du
Maximilian Marshall
Ensheng Dong
Marietta M. Squire
Lauren Gardner
2
+ Why COVID outbreaks look set to worsen this winter 2020 Smriti Mallapaty
2
+ The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis 2021 Roberto Bergamaschi
Marta Ponzano
Irene Schiavetti
Luca Carmisciano
Cinzia Cordioli
Massimo Filippi
Marta Radaelli
Paolo Immovilli
Marco Capobianco
Nicola De Rossi
2
+ PDF Chat Proceedings of the 25th international conference on Machine learning - ICML '08 2008 2
+ PDF Chat Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach 2017 Sergi Valverde
Mariano Cabezas
Eloy Roura
Sandra GonzĂĄlez-VillĂ 
Deborah Pareto
Joan C. Vilanova
Lluís Ramió‐Torrentà
Àlex Rovira
Arnau Oliver
Xavier LladĂł
2
+ PDF Chat Crowding and the shape of COVID-19 epidemics 2020 Benjamin Rader
Samuel V. Scarpino
Anjalika Nande
Alison L. Hill
Ben Adlam
Robert C. Reiner
David M. Pigott
Bernardo Gutiérrez
Alexander E. Zarebski
Munik Shrestha
2
+ A guide to R — the pandemic’s misunderstood metric 2020 David Adam
2
+ Modelling MRI enhancing lesion counts in multiple sclerosis using a negative binomial model: implications for clinical trials 1999 Maria Pia Sormani
Paolo Bruzzi
D. H. Miller
Claudio Gasperini
Frederik Barkhof
Massimo Filippi
1
+ PDF Chat A nonparametric method for automatic correction of intensity nonuniformity in MRI data 1998 John G. Sled
Alex Zijdenbos
Alan C. Evans
1
+ PDF Chat Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex 2001 Bruce Fischl
A. Liu
Anders M. Dale
1
+ Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. 1995 William Gardner
Edward P. Mulvey
Esther Shaw
1
+ Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials 2012 Philipp KrĂ€henbĂŒhl
Vladlen Koltun
1
+ False-Positive Psychology 2011 Joseph P. Simmons
Leif D. Nelson
Uri Simonsohn
1
+ Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting 2014 Caroline K. Carrico
Chris Gennings
David C. Wheeler
Pam Factor‐Litvak
1
+ Surrogate endpoints in clinical trials: Definition and operational criteria 1989 Ross L. Prentice
1
+ Discriminative Unsupervised Feature Learning with Convolutional Neural Networks 2014 Alexey Dosovitskiy
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
1
+ PDF Chat Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors) 2000 Jerome H. Friedman
Trevor Hastie
Robert Tibshirani
1
+ General multilevel linear modeling for group analysis in FMRI 2003 Christian F. Beckmann
Mark Jenkinson
Stephen M. Smith
1
+ Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. 2017 Patrick Ferdinand Christ
Florian Ettlinger
Felix GrĂŒn
Mohamed Ezzeldin A. Elshaera
Jana LipkovĂĄ
Sebastian J. Schlecht
Freba Ahmaddy
Sunil Tatavarty
Marc Bickel
Patrick Bilic
1
+ PDF Chat Nonparametric permutation tests for functional neuroimaging: A primer with examples 2001 Thomas E. Nichols
Andrew P. Holmes
1
+ Issues in Multiple Regression 1968 Robert Gordon
1
+ THE SHAPE OF THE DISTRIBUTION OF THE NUMBER OF SEXUAL PARTNERS 1996 David Kault
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ PDF Chat Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields 2016 Patrick Ferdinand Christ
Mohamed Ezzeldin A. Elshaer
Florian Ettlinger
Sunil Tatavarty
Marc Bickel
Patrick Bilic
Markus Rempfler
Marco Armbruster
Felix Hofmann
Melvin D’Anastasi
1
+ Permutation inference for the general linear model 2014 Anderson M. Winkler
Gerard R. Ridgway
Matthew Webster
Stephen M. Smith
Thomas E. Nichols
1
+ PDF Chat Nonparametric Analysis of Statistic Images from Functional Mapping Experiments 1996 Andrew P. Holmes
R. Clifford Blair
J D Watson
Ian Ford
1
+ PDF Chat HeMIS: Hetero-Modal Image Segmentation 2016 Mohammad Havaei
Nicolas Guizard
Nicolas Chapados
Yoshua Bengio
1
+ PDF Chat Robust Permutation Tests For Correlation And Regression Coefficients 2016 Cyrus DiCiccio
Joseph P. Romano
1
+ PDF Chat Learning normalized inputs for iterative estimation in medical image segmentation 2017 Michal Drozdzal
Gabriel Chartrand
Eugene Vorontsov
Mahsa Shakeri
Lisa Di Jorio
An Tang
Adriana Romero
Yoshua Bengio
Chris Pal
Samuel Kadoury
1
+ PDF Chat Conditional Random Fields as Recurrent Neural Networks 2015 Shuai Zheng
Sadeep Jayasumana
Bernardino Romera‐Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip H. S. Torr
1
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
1
+ Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth 2017 Vanya V. Valindria
Ioannis Lavdas
Wenjia Bai
Konstantinos Kamnitsas
Eric O. Aboagye
Andrea Rockall
Daniel Rueckert
Ben Glocker
1
+ V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto MilletarĂŹ
Nassir Navab
Seyed‐Ahmad Ahmadi
1