Alex Kelner

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All published works

Action	Title	Year	Authors
+ PDF Chat	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up	2021	Răzvan V. Marinescu Neil P. Oxtoby Alexandra L. Young Esther E. Bron Arthur W. Toga Michael W. Weiner Frederik Barkhof Nick C. Fox Arman Eshaghi Tina Toni
+	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up	2020	Răzvan V. Marinescu Neil P. Oxtoby Alexandra L. Young Esther E. Bron Arthur W. Toga Michael W. Weiner Frederik Barkhof Nick C. Fox Arman Eshaghi Tina Toni

Common Coauthors

Coauthor	Papers Together
Kaixian Yu	2
Vivek Devadas	2
Robert Ciszek	2
Stefan Klein	2
Edgar E. V. Clemente	2
John Gallacher	2
Karol Estrada	2
Arthur W. Toga	2
B.T. Thomas Yeo	2
Denisa Rimocea	2
Clémentine Fourrier	2
Nick C. Fox	2
Jussi Tohka	2
Zhiyue Huang	2
Manon Ansart	2
Samuel Iddi	2
Ionut Buciuman	2
Nanbo Sun	2
Leon M. Aksman	2
Esther E. Bron	2
Keli Liu	2
Dan Halbersberg	2
Alexandra L. Young	2
Aristeidis Sotiras	2
Christina Rabe	2
Güray Erus	2
Joseph B. Cole	2
Michael Donohue	2
Simon R. White	2
Tina Toni	2
Daniel C. Alexander	2
Terry Lyons	2
Christos Davatzikos	2
James Howlett	2
Bruno Jedynak	2
Aviv Nahon	2
Veronika Lunina	2
William R. Engels	2
Bernd Taschler	2
Pascal Lu	2
Emmanuel Jammeh	2
Suman Sedai	2
Jimit Doshi	2
Steven M. Hill	2
Brian D. M. Tom	2
Lauge Sørensen	2
Deqiang Qiu	2
Arman Eshaghi	2
Héctor Corrada Bravo	2
Raluca Maria Pop	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1
+ PDF Chat	MissForest—non-parametric missing value imputation for mixed-type data	2011	Daniel J. Stekhoven Peter Bühlmann	1
+	The Analysis of Panel Data under a Markov Assumption	1985	John D. Kalbfleisch J. F. Lawless	1
+	Statistical parametric maps in functional imaging: A general linear approach	1994	Karl Friston Andrew P. Holmes Keith J. Worsley J.‐P. Poline Chris Frith R. S. J. Frackowiak	1
+	Shape differences of the brain ventricles in Alzheimer's disease	2006	Luca Ferrarini Walter M. Palm Hans Olofsen Mark A. van Buchem Johan H. C. Reiber Faiza Admiraal‐Behloul	1
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	1
+ PDF Chat	A Review of Hot Deck Imputation for Survey Non‐response	2010	Rebecca Andridge Roderick J. A. Little	1
+	Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach	1988	Elizabeth R. DeLong David M. DeLong Daniel L. Clarke‐Pearson	1
+ PDF Chat	A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging	2016	Murat Bilgel Jerry L. Prince Dean F. Wong Susan M. Resnick Bruno Jedynak	1
+ PDF Chat	Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease	2017	Marco Lorenzi Maurizio Filippone Giovanni B. Frisoni Daniel C. Alexander Sébastien Ourselin	1
+ PDF Chat	A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations	2017	Jean-Baptiste Schiratti Stéphanie Allassonnière Olivier Colliot Stanley Durrleman	1
+	TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease	2018	Răzvan V. Marinescu Neil P. Oxtoby Alexandra L. Young Esther E. Bron Arthur W. Toga Michael W. Weiner Frederik Barkhof Nick C. Fox Stefan Klein Daniel C. Alexander	1
+	Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling	2018	Vikram Venkatraghavan Esther E. Bron Wiro J. Niessen Stefan Klein	1
+ PDF Chat	Why rankings of biomedical image analysis competitions should be interpreted with care	2018	Lena Maier‐Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunović Andrew P. Bradley Aaron Carass	1
+ PDF Chat	DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders	2019	Răzvan V. Marinescu Arman Eshaghi Marco Lorenzi Alexandra L. Young Neil P. Oxtoby Sara Garbarino Sebastian J. Crutch Daniel C. Alexander	1
+ PDF Chat	Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms	2018	Alexandre Bône Olivier Colliot Stanley Durrleman	1
+ PDF Chat	Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data	2019	Taeho Jo Kwangsik Nho Andrew J. Saykin	1
+	Robust parametric modeling of Alzheimer's disease progression	2019	Mostafa Mehdipour Ghazi Mads Nielsen Akshay Pai Marc Modat M. Jorge Cardoso Sébastien Ourselin Lauge Sørensen	1
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices	2010	MazumderRahul HastieTrevor TibshiraniRobert	1
+	Robust parametric modeling of Alzheimer’s disease progression	2020	Mostafa Mehdipour Ghazi Mads Nielsen Akshay Pai Marc Modat M. Jorge Cardoso Sébastien Ourselin Lauge Sørensen	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+	Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data	2019	Clément Abi Nader Nicholas Ayache Philippe Robert Marco Lorenzi	1