Michael Borrie

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease	2024	Eardi Lila Wenbo Zhang Swati Rane Levendovszky Michael W. Weiner Paul Aisen Michael W. Weiner Paul Aisen Ronald C. Petersen Clifford R. Jack William J. Jagust
+ PDF Chat	Caregiving concerns and clinical characteristics across neurodegenerative and cerebrovascular disorders in the Ontario neurodegenerative disease research initiative	2022	Derek Beaton Paula McLaughlin J. B. Orange Douglas P. Munoz Jennifer Mandzia Agessandro Abrahão Malcolm A. Binns Sandra E. Black Michael Borrie Dar Dowlatshahi
+ PDF Chat	Caregiving concerns and clinical characteristics across neurodegenerative and cerebrovascular disorders in the Ontario Neurodegenerative Disease Research Initiative	2020	Derek Beaton Paula McLaughlin J. B. Orange Douglas P. Munoz Jennifer Mandzia Agessandro Abrahão Malcolm A. Binns Sandra E. Black Michael Borrie Dar Dowlatshahi
+ PDF Chat	Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images	2018	Donghuan Lu Karteek Popuri Gavin Weiguang Ding Rakesh Balachandar Mirza Faisal Beg Michael D. Weiner Paul Aisen Ronald C. Petersen Cliford Jack William J. Jagust
+ PDF Chat	Statistical tests and identifiability conditions for pooling and analyzing multisite datasets	2018	Hao Zhou Vikas Singh Sterling C. Johnson Grace Wahba Adam Fleisher Adrian Preda Aimee Pierce Akiva Mintz Alan J. Lerner Alexander Norbash
+ PDF Chat	Predicting missing biomarker data in a longitudinal study of Alzheimer disease	2012	Raymond Y. Lo William J. Jagust Paul Aisen Clifford R. Jack Arthur W. Toga Laurel Beckett Anthony Gamst Holly Soares Robert C. Green Tom Montine
+ PDF Chat	P4‐118: Safety and Pharmacokinetics Following a Single Infusion of the Anti‐amyloid Monoclonal Antibody Ponezumab (pf‐04360365) in Patients With Mild‐to‐moderate Alzheimer's Disease: Final Results	2010	Jaren W. Landen Qinying Zhao Sharon Cohen Michael Borrie Mark Woodward Clare B. Billing Christine Alvey James W. Kupiec Martin M. Bednar
+	P2-318 Inter-rater reliability of neuropsychological assessments used in the Canadian study on genetics of Alzheimer's disease associations (GenADA)	2004	Luis Fornazzari Shailesh Nadkarni Linda Surh Rachel Newton Alexandra Salvarrey Nina Apanasiewicz Dielle Miranda Peter St George‐Hyslop Michael Borrie Howard Feldman

Common Coauthors

Coauthor	Papers Together
Sandra E. Black	5
Ging‐Yuek Robin Hsiung	5
Andrew Kertesz	5
Howard Feldman	5
Elizabeth Finger	5
Thomas O. Obisesan	4
Paula Ogrocki	4
George Bartzokis	4
Adam Fleisher	4
Owen Carmichael	4
Jeffrey M. Burns	4
Sara Dolen	4
Martin R. Farlow	4
Stacy Schneider	4
Alan J. Lerner	4
Lawrence S. Honig	4
Michelle Rainka	4
Charles Bernick	4
Kathleen Johnson	4
Brian R. Ott	4
Stephen Salloway	4
William J. Jagust	4
Dzintra Celmins	4
Stephen Correia	4
Chris Hosein	4
Rachelle S. Doody	4
Sonia Pawluczyk	4
Helen Vanderswag	4
Yaakov Stern	4
Robert B. Santulli	4
Joanne Lord	4
Carl Sadowsky	4
Teresa Villena	4
Kaycee M. Sink	4
Raj C. Shah	4
Daniel Silverman	4
Ronald Killiany	4
Godfrey D. Pearlson	4
Bruce L. Miller	4
Maria Kataki	4
Ann Marie Hake	4
Judith L. Heidebrink	4
Kris Johnson	4
Allan I. Levey	4
Arthur W. Toga	4
Laurel Beckett	4
Andrew J. Saykin	4
Donna Munic	4
John C. Morris	4
M. Saleem Ismail	4

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Generalization of the minimum covariance determinant algorithm for categorical and mixed data types	2018	Derek Beaton Kelly M. Sunderland Brian Levine Jennifer Mandzia Mario Masellis Richard H. Swartz Angela K. Troyer Malcolm A. Binns Hervé Abdi Stephen C. Strother	2
+	Correspondence analysis	2010	Michael Greenacre	2
+ PDF Chat	Ordinal Regression Models in Psychology: A Tutorial	2019	Paul‐Christian Bürkner Matti Vuorre	2
+	Bootstrap	2011	Tim Hesterberg	2
+	Permutation methods	2011	Kenneth J. Berry Janis E. Johnston Paul W. Mielke	2
+ PDF Chat	Analyzing ordinal data with metric models: What could possibly go wrong?	2018	Torrin M. Liddell John K. Kruschke	2
+ PDF Chat	Practical Recommendations for Gradient-Based Training of Deep Architectures	2012	Yoshua Bengio	1
+ PDF Chat	Geodesic exponential kernels: When curvature and linearity conflict	2015	Aasa Feragen François Lauze Søren Hauberg	1
+ PDF Chat	Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images	2015	Moo K. Chung Anqi Qiu Seongho Seo Houri K. Vorperian	1
+ PDF Chat	Functional Linear Discriminant Analysis for Irregularly Sampled Curves	2001	Gareth James Trevor Hastie	1
+ PDF Chat	Reproducing kernels of Sobolev spaces via a green kernel approach with differential operators and boundary operators	2011	Gregory E. Fasshauer Qi Ye	1
+ PDF Chat	Algorithm 937	2014	Sou‐Cheng T. Choi Michael A. Saunders	1
+ PDF Chat	Estimation and Accuracy After Model Selection	2013	Bradley Efron	1
+ PDF Chat	BrainPrint: A discriminative characterization of brain morphology	2015	Christian Wachinger Polina Golland William S. Kremen Bruce Fischl Martin Reuter	1
+	Optimum Bounds for the Distributions of Martingales in Banach Spaces	1994	Iosif Pinelis	1
+	Attrition in longitudinal studies	2002	Jos W. R. Twisk Wieke de Vente	1
+	An extension of Fisher's discriminant analysis for stochastic processes	2007	Hyejin Shin	1
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	1
+	Geodesic Shooting for Computational Anatomy	2006	Michael I. Miller Alain Trouvé Laurent Younès	1
+	Modeling the Drop-Out Mechanism in Repeated-Measures Studies	1995	Roderick J. A. Little	1
+	Regression models for functional data by reproducing kernel Hilbert spaces methods	2006	Cristian Preda	1
+	Flexible Discriminant Analysis by Optimal Scoring	1994	Trevor Hastie Robert Tibshirani Andreas Buja	1
+	Statistics on diffeomorphisms via tangent space representations	2004	M. Vaillant Michael I. Miller Laurent Younès Alain Trouvé	1
+ PDF Chat	Minimax and Adaptive Prediction for Functional Linear Regression	2012	Tommaso Cai Ming Yuan	1
+	Functional Modelling and Classification of Longitudinal Data*	2005	Hans–Georg Müller	1
+ PDF Chat	Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces	1984	David G. Kendall	1
+ PDF Chat	Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels	2015	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi	1
+ PDF Chat	Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection	2012	Jeff Goldsmith Lei Huang Ciprian M. Crainiceanu	1
+ PDF Chat	Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems	1982	Christopher C. Paige Michael A. Saunders	1
+	Numerical Models for Differential Problems	2009	Alfio Quarteroni	1
+	Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks	2015	Adrien Payan Giovanni Montana	1
+ PDF Chat	A direct approach to sparse discriminant analysis in ultra-high dimensions	2012	Qun Mai Hui Zou Ming Yuan	1
+	Multiple imputation in health‐are databases: An overview and some applications	1991	Donald B. Rubin Nathaniel Schenker	1
+	A Critical Look at Methods for Handling Missing Covariates in Epidemiologic Regression Analyses	1995	Sander Greenland William D. Finkle	1
+ PDF Chat	Achieving near Perfect Classification for Functional Data	2011	Aurore Delaigle Peter Hall	1
+ PDF Chat	Estimation and Inference of Heterogeneous Treatment Effects using Random Forests	2017	Stefan Wager Susan Athey	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+ PDF Chat	Extrinsic Local Regression on Manifold-Valued Data	2016	Lizhen Lin B.S. Thomas Hongtu Zhu David B. Dunson	1
+ PDF Chat	Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains	2017	Clara Happ-Kurz Sonja Greven	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	Encoding Cortical Surface by Spherical Harmonics	2008	Moo K. Chung Richard Hartley Kim M. Dalton Richard J. Davidson	1
+ PDF Chat	Generalized Scalar-on-Image Regression Models via Total Variation	2016	Xiao Wang Hongtu Zhu	1
+	Diffeomorphic Surface Registration with Atrophy Constraints	2016	Sylvain Arguillère Michael I. Miller Laurent Younès	1
+ PDF Chat	Causal inference and the data-fusion problem	2016	Elias Bareinboim Judea Pearl	1
+ PDF Chat	On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification	2017	José R. Berrendero Antonio Cuevas José L. Torrecilla	1
+ PDF Chat	Residual and plain convolutional neural networks for 3D brain MRI classification	2017	Sergey Korolev Amir Safiullin Mikhail Belyaev Yulia Dodonova	1
+	A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis	2019	Amanda F. Mejia Yue Yu David Bolin Finn Lindgren Martin A. Lindquist	1
+ PDF Chat	Optimal Transport for Diffeomorphic Registration	2017	Jean Feydy Benjamin Charlier François-Xavier Vialard Gabriel Peyré	1
+ PDF Chat	Three-dimensional cardiovascular imaging-genetics: a mass univariate framework	2017	Carlo Biffi Antonio de Marvao Mark Attard Timothy J. W. Dawes Nicola Whiffin Wenjia Bai Wenzhe Shi Catherine Francis Hannah V. Meyer Rachel Buchan	1
+ PDF Chat	Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework	2017	Xiaoxiao Sun Pang Du Xiao Wang Ping Ma	1