Dick J. Veltman

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All published works

Action	Title	Year	Authors
+ PDF Chat	Recalibrating single-study effect sizes using hierarchical Bayesian models	2023	Zhipeng Cao Matthew F. McCabe Peter Callas Renata B. Cupertino Jonatan Ottino‐González Alistair Murphy Devarshi Pancholi Nathan Schwab Orr Catherine Kent E. Hutchison
+	DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features	2023	V. Belov Tracy Erwin-Grabner Ling‐Li Zeng Christopher R. K. Ching André Alemán Alyssa R. Amod Zeynep Başgöze Francesco Benedetti Bianca Besteher Katharina Brosch
+	Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures	2022	V. Belov Tracy Erwin-Grabner Ali Saffet Gönül Alyssa R. Amod Amar Ojha André Alemán Annemiek Dols Anouk Scharntee Aslihan Uyar-Demir Ben J. Harrison
+ PDF Chat	ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries	2020	Paul M. Thompson Neda Jahanshad Christopher R. K. Ching Lauren E. Salminen Sophia I. Thomopoulos Joanna K. Bright Bernhard T. Baune Sara Bertolín Janita Bralten Willem B. Bruin
+	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	ENIGMA MDD: Seven Years of Global Neuroimaging Studies of Major Depression through Worldwide Data Sharing	2019	Lianne Schmaal Elena Pozzi Tiffany C. Ho Laura S. van Velzen Ilya M. Veer Nils Opel Eus J.W. Van Someren Laura K. M. Han Lybomir Aftanas André Alemán
+	Deep Learning for Quality Control of Subcortical Brain 3D Shape Models	2018	Dmitry Petrov Boris A. Gutman Egor Kuznetsov Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert Dmitry Isaev Artemis Zavaliangos‐Petropulu
+ PDF Chat	Deep Learning for Quality Control of Subcortical Brain 3D Shape Models	2018	Dmitry Petrov Boris A. Gutman Е.Е. Кузнецов Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert Dmitry Isaev
+ PDF Chat	Deep Learning for Quality Control of Subcortical Brain 3D Shape Models	2018	Dmitry Petrov Boris A. Gutman Е.Е. Кузнецов Christopher R. K. Ching Kathryn Alpert Artemis Zavaliangos‐Petropulu Dmitry Isaev Jessica A. Turner Theo G.M. van Erp Lei Wang
+	Deep Learning for Quality Control of Subcortical Brain 3D Shape Models	2018	Dmitry Petrov Boris A. Gutman Egor Kuznetsov Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert Dmitry Isaev Artemis Zavaliangos‐Petropulu
+	Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging	2017	Dmitry Petrov Boris A. Gutman Shih-Hua Yu Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert Dmitry Isaev
+	Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging	2017	Dmitry Petrov Boris A. Gutman Shih-Hua Yu Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert
+ PDF Chat	Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model	2017	Dajiang Zhu Brandalyn C. Riedel Neda Jahanshad Nynke A. Groenewold Dan J. Stein Ian H. Gotlib Matthew D. Sacchet Danai Dima James H. Cole Cynthia H.Y. Fu
+	Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model	2017	Dajiang Zhu Brandalyn C. Riedel Neda Jahanshad Nynke A. Groenewold Dan J. Stein Ian H. Gotlib Matthew D. Sacchet Danai Dima James H. Cole Cynthia H.Y. Fu
+	Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging	2017	Dmitry A. Petrov Boris A. Gutman Shih-Hua Yu Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert

Common Coauthors

Coauthor	Papers Together
Lianne Schmaal	14
Dan J. Stein	14
Paul M. Thompson	14
Nynke A. Groenewold	13
Ian H. Gotlib	11
Jair C. Soares	10
Henrik Walter	10
Christopher R. K. Ching	10
Ilya M. Veer	10
Matthew D. Sacchet	9
Udo Dannlowski	9
Mon-Ju Wu	9
Jessica A. Turner	8
Dominik Grotegerd	8
Edith Pomarol‐Clotet	8
André Alemán	8
Theo G.M. van Erp	8
Benson Irungu	8
Ruben C. Gur	7
Gary Donohoe	7
Boris A. Gutman	7
Artemis Zavaliangos‐Petropulu	7
Joaquim Raduà	7
Neda Jahanshad	7
Kathryn Alpert	7
Lei Wang	7
Paola Fuentes‐Claramonte	7
Anne Uhlmann	7
Ingrid Agartz	7
Dmitry Isaev	7
Gianfranco Spalletta	7
Fabrizio Piras	7
Raymond Salvador	7
Peter Kochunov	7
David C. Glahn	7
Erick J. Canales‐Rodríguez	6
Fabienne Harrisberger	6
Anthony James	6
Geraldo F. Busatto	6
Daniela Vecchio	6
Theodore D. Satterthwaite	6
Erin W. Dickie	6
Simon Červenka	6
Alexander J. Huang	6
Valentina Ciullo	6
Lars T. Westlye	6
Steven G. Potkin	6
Alexander Tomyshev	6
Vince D. Calhoun	6
Stefan Borgwardt	6

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Heritability of the shape of subcortical brain structures in the general population	2016	Gennady V. Roshchupkin Boris A. Gutman Meike W. Vernooij Neda Jahanshad Nicholas G. Martin Albert Hofman Katie L. McMahon Sven J. van der Lee Cornelia M. van Duijn Greig I. de Zubicaray	5
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2
+ PDF Chat	Measuring and comparing brain cortical surface area and other areal quantities	2012	Anderson M. Winkler Mert R. Sabuncu B.T. Thomas Yeo Bruce Fischl Douglas N. Greve Peter Kochunov Thomas E. Nichols John Blangero David C. Glahn	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	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 permutation tests for functional neuroimaging: A primer with examples	2001	Thomas E. Nichols Andrew P. Holmes	1
+	General multilevel linear modeling for group analysis in FMRI	2003	Christian F. Beckmann Mark Jenkinson Stephen M. Smith	1
+	Why Most Discovered True Associations Are Inflated	2008	John P. A. Ioannidis	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
+	False-Positive Psychology	2011	Joseph P. Simmons Leif D. Nelson Uri Simonsohn	1
+ PDF Chat	Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate	2002	Christopher R. Genovese Nicole A. Lazar Thomas E. Nichols	1
+	Non‐parametric combination and related permutation tests for neuroimaging	2016	Anderson M. Winkler Matthew Webster J.C. Brooks Irene Tracey Stephen M. Smith Thomas E. Nichols	1
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+	Faster permutation inference in brain imaging	2016	Anderson M. Winkler Gerard R. Ridgway Gwenaëlle Douaud Thomas E. Nichols Stephen M. Smith	1
+ PDF Chat	Robust Permutation Tests For Correlation And Regression Coefficients	2016	Cyrus DiCiccio Joseph P. Romano	1
+ PDF Chat	Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer’s Disease Across Multiple Institutions	2016	Qingyang Li Tao Yang Liang Zhan Derrek P. Hibar Neda Jahanshad Yalin Wang Jieping Ye Paul M. Thompson Jie Wang	1
+	Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ	2016	Danielle L. Burke Joie Ensor Richard D. Riley	1
+	Parametric measures of effect size.	1994	Robert Rosenthal	1
+	Measuring the tendency of CNNs to Learn Surface Statistical Regularities	2017	Jason Jo Yoshua Bengio	1
+	Recruiting the ABCD sample: Design considerations and procedures	2018	Hugh Garavan Hauke Bartsch Kevin P. Conway Alex DeCastro Rita Z. Goldstein Steven G. Heeringa Terry L. Jernigan Alexandra Potter Wesley K. Thompson Daniel A. Zahs	1
+ PDF Chat	Deep Learning for Quality Control of Subcortical Brain 3D Shape Models	2018	Dmitry Petrov Boris A. Gutman Е.Е. Кузнецов Christopher R. K. Ching Kathryn Alpert Artemis Zavaliangos‐Petropulu Dmitry Isaev Jessica A. Turner Theo G.M. van Erp Lei Wang	1
+ PDF Chat	Educational Note: Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application	2018	Miguel Ángel Luque-Fernández Michael Schomaker Daniel Redondo‐Sánchez María‐José Sánchez Anand Vaidya Mireille E. Schnitzer	1
+	The preregistration revolution needs to distinguish between predictions and analyses	2018	Alison Ledgerwood	1
+	Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data	2019	Eduard T. Klapwijk Ferdi van de Kamp Mara van der Meulen Sabine Peters Lara M. Wierenga	1
+	24. Shape Asymmetry of Deep Brain Structural Structures in 2763 Individuals With Schizophrenia Compared to 3768 Healthy Volunteers in a Prospective Shape Meta-Analysis via the ENIGMA Consortium	2019	Boris A. Gutman Lei Wang	1
+	Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging	2017	Dmitry Petrov Boris A. Gutman Shih-Hua Yu Theo G.M. van Erp Jessica A. Turner Lianne Schmaal Dick J. Veltman Lei Wang Kathryn Alpert Dmitry Isaev	1
+ PDF Chat	Refacing: Reconstructing Anonymized Facial Features Using Gans	2018	David Abramian Anders Eklund	1
+ PDF Chat	Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline	2017	Bhim M. Adhikari Neda Jahanshad D. K. Shukla David C. Glahn John Blangero Richard C. Reynolds Robert W. Cox Els Fieremans Jelle Veraart Dmitry S. Novikov	1
+ PDF Chat	Statistical approaches to identify subgroups in meta-analysis of individual participant data: a simulation study	2019	Michail Belias Maroeska M. Rovers Johannes B. Reitsma Thomas P. A. Debray Joanna IntHout	1
+ PDF Chat	Multiple testing correction over contrasts for brain imaging	2019	Bianca A. V. Alberton Thomas E. Nichols Humberto Remigio Gamba Anderson M. Winkler	1
+ PDF Chat	Coordinating Global Multi-Site Studies of Military-Relevant Traumatic Brain Injury: Opportunities, Challenges, and Harmonization Guidelines	2019	David F. Tate Emily L. Dennis John T Adams Maheen M. Adamson Heather G. Belanger Erin D. Bigler Heather C. Bouchard Alexandra L. Clark Lisa Delano‐Wood Seth G. Disner	1
+	The Clinical Utility of Magnetic Resonance Spectroscopy in Traumatic Brain Injury: Recommendations from the ENIGMA MRS Working Group	2019	Brenda Bartnik‐Olson Jeffry R. Alger Talin Babikian Ashley D. Harris Barbara A. Holshouser Ivan I. Kirov Andrew M Maudsley Paul M. Thompson Emily L. Dennis David F. Tate	1
+ PDF Chat	Toward a Global and Reproducible Science for Brain Imaging in Neurotrauma: The ENIGMA Adult Moderate/Severe Traumatic Brain Injury Working Group	2019	Alexander Olsen Talin Babikian Erin D. Bigler Karen Caeyenberghs Virginia Conde Kristen Dams-O’Connor Ekaterina Dobryakova Helen M. Genova Jordan Grafman Asta K. Håberg	1
+ PDF Chat	Challenges and Opportunities for Neuroimaging in Young Patients with Traumatic Brain Injury: a Coordinated Effort towards Advancing Discovery from the ENIGMA Pediatric Moderate/Severe TBI Group	2019	Emily L. Dennis Karen Caeyenberghs Robert F. Asarnow Talin Babikian Brenda Bartnik‐Olson Erin D. Bigler Anthony Figaji Christopher C. Giza Naomi J. Goodrich‐Hunsaker Cooper B. Hodges	1
+	A Global Collaboration to Study Intimate Partner Violence-Related Head Trauma: The ENIGMA Consortium IPV Working Group	2019	Carrie Esopenko Jessica Meyer Elisabeth A. Wilde Amy D. Marshall David F. Tate Alexander P. Lin Inga K. Koerte Kimberly B. Werner Emily L. Dennis Ashley L. Ware	1
+	The ENIGMA Brain Injury Working Group: Approach, Challenges, and Potential Benefits	2019	Elisabeth A. Wilde Emily L. Dennis David F. Tate	1
+ PDF Chat	Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group	2020	Alexander Olsen Talin Babikian Erin D. Bigler Karen Caeyenberghs Virginia Conde Kristen Dams-O’Connor Ekaterina Dobryakova Helen M. Genova Jordan Grafman Asta K. Håberg	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+	Coordinating Global Multi-Site Studies of Military-Relevant Traumatic Brain Injury: Opportunities, Challenges, and Harmonization Guidelines	2021	David F. Tate Emily L. Dennis John T Adams Maheen M. Adamson Heather G. Belanger Erin D. Bigler Heather C. Bouchard Alexandra L. Clark Lisa Delano‐Wood Seth G. Disner	1
+ PDF Chat	Recalibrating expectations about effect size: A multi-method survey of effect sizes in the ABCD study	2021	Max M. Owens Alexandra Potter Courtland S. Hyatt Matthew D. Albaugh Wesley K. Thompson Terry L. Jernigan Dekang Yuan Sage Hahn Nicholas Allgaier Hugh Garavan	1
+ PDF Chat	A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	2021	Erik W. van Zwet Andrew Gelman	1
+	Site effects how-to &amp; when: an overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses	2022	Johanna Bayer Paul M. Thompson Christopher R. K. Ching Mengting.Liu Andrew A. Chen Alana Castro Panzenhagen Neda Jahanshad André F. Marquand Lianne Schmaal Philipp G. Sämann	1
+	On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown	1967	Hubert W. Lilliefors	1
+	Proofs and Refutations	2015	Imre Lakatos	1