Danilo Bzdok

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 35

Top Venues

Heinrich Heine University Düsseldorf (PHD)

Education History

Heinrich Heine University Düsseldorf

PHD

Publications

Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy
ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. CoRR (2024)
Liam Hodgson, Danilo Bzdok
Estimating Unknown Population Sizes Using the Hypergeometric Distribution. CoRR (2024)
Karam Ghanem, Danilo Bzdok
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models. CoRR (2024)
MaryAnn P. Noonan, Chris Zajner, Danilo Bzdok
Home alone: A population neuroscience investigation of brain morphology substrates. NeuroImage 269 (2023)
Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
Orientation and Context Entangled Network for Retinal Vessel Segmentation. Expert Syst. Appl. 217 (2023)
Jianzhong Chen, Leon Qi Rong Ooi, Trevor Wei Kiat Tan, Shaoshi Zhang, Jingwei Li, Christopher L. Asplund, Simon B. Eickhoff, Danilo Bzdok, Avram J. Holmes, B. T. Thomas Yeo
Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study. NeuroImage 274 (2023)
Xiaoxuan Yan, Ru Kong, Aihuiping Xue, Qing Yang, Csaba Orban, Lijun An, Avram J. Holmes, Xing Qian, Jianzhong Chen, Xi-Nian Zuo, Juan Helen Zhou, Marielle V. Fortier, Ai Peng Tan, Peter D. Gluckman, Yap-Seng Chong, Michael J. Meaney, Danilo Bzdok, Simon B. Eickhoff, B. T. Thomas Yeo
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage 273 (2023)
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
Representational Ethical Model Calibration. CoRR (2022)
Nahiyan Malik, Danilo Bzdok
From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning. Neural Networks 153 (2022)
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
Representational ethical model calibration. npj Digit. Medicine 5 (2022)
Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
Orientation and Context Entangled Network for Retinal Vessel Segmentation. CoRR (2022)
Eva Loth, Jumana Ahmad, Chris Chatham, Beatriz López, Ben Carter, Daisy Crawley, Bethany Oakley, Hannah Hayward, Jennifer Cooke, Antonia San José Cáceres, Danilo Bzdok, Emily Jones, Tony Charman, Christian Beckmann, Thomas Bourgeron, Roberto Toro, Jan K. Buitelaar, Declan G. M. Murphy, Guillaume Dumas
The meaning of significant mean group differences for biomarker discovery. PLoS Comput. Biol. 17 (11) (2021)
Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction. CoRR (2021)
Bo-yong Park, Reinder Vos de Wael, Casey Paquola, Sara Larivière, Oualid M. Benkarim, Jessica Royer, Shahin Tavakol, Raúl Rodríguez-Cruces, Qiongling Li, Sofie L. Valk, Daniel S. Margulies, Bratislav Misic, Danilo Bzdok, Jonathan Smallwood, Boris C. Bernhardt
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. NeuroImage 224 (2021)
Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage 206 (2020)
Jessica Royer, Casey Paquola, Sara Larivière, Reinder Vos de Wael, Shahin Tavakol, Alexander J. Lowe, Oualid M. Benkarim, Alan C. Evans, Danilo Bzdok, Jonathan Smallwood, Birgit Frauscher, Boris C. Bernhardt
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity. NeuroImage 216 (2020)
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. NeuroImage 216 (2020)
Danilo Bzdok, Denis A. Engemann, Bertrand Thirion
Inference and Prediction Diverge in Biomedicine. Patterns 1 (8) (2020)
Danilo Bzdok, Thomas E. Nichols, Stephen M. Smith
Towards algorithmic analytics for large-scale datasets. Nat. Mach. Intell. 1 (7) (2019)
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR (2019)
Alexander Geiger, Gary Bente, Sebastian Lammers, Ralf Tepest, Daniel Roth, Danilo Bzdok, Kai Vogeley
Distinct functional roles of the mirror neuron system and the mentalizing system. NeuroImage 202 (2019)
Hao-Ting Wang, Danilo Bzdok, Daniel S. Margulies, R. Cameron Craddock, Michael P. Milham, Elizabeth Jefferies, Jonathan Smallwood
Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest. NeuroImage 176 (2018)
Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI (2018)
Gaël Varoquaux, Yannick Schwartz, Russell A. Poldrack, Baptiste Gauthier, Danilo Bzdok, Jean-Baptiste Poline, Bertrand Thirion
Atlases of cognition with large-scale human brain mapping. PLoS Comput. Biol. 14 (11) (2018)
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. CoRR (2018)
Danilo Bzdok, B. T. Thomas Yeo
Inference in the age of big data: Future perspectives on neuroscience. NeuroImage 155 (2017)
Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
Learning Neural Representations of Human Cognition across Many fMRI Studies. NIPS (2017)
Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. IPMI (2017)
Thilo Böhm, Felix Engel, Danilo Bzdok, Frank Schneider, Matthias L. Hemmje
Approach to semi-automatic labeling of video sequences for affective computing-enabling the comprehensive assessment of emotion detection software from mimics. BIBM (2017)
Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
Learning Neural Representations of Human Cognition across Many fMRI Studies. CoRR (2017)
Mehdi Rahim, Bertrand Thirion, Danilo Bzdok, Irène Buvat, Gaël Varoquaux
Joint prediction of multiple scores captures better individual traits from brain images. NeuroImage 158 (2017)
Deniz Vatansever, Danilo Bzdok, Hao-Ting Wang, Giovanna Mollo, Mladen Sormaz, Charlotte Murphy, Theodoros Karapanagiotidis, Jonathan Smallwood, Elizabeth Jefferies
Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour. NeuroImage 158 (2017)
Simon B. Eickhoff, Thomas E. Nichols, Angela R. Laird, Felix Hoffstaedter, Katrin Amunts, Peter T. Fox, Danilo Bzdok, Claudia R. Eickhoff
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage 137 (2016)
Andrew T. Reid, Danilo Bzdok, Sarah Genon, Robert Langner, Veronika I. Müller, Claudia R. Eickhoff, Felix Hoffstaedter, Edna-Clarisse Cieslik, Peter T. Fox, Angela R. Laird, Katrin Amunts, Svenja Caspers, Simon B. Eickhoff
ANIMA: A data-sharing initiative for neuroimaging meta-analyses. NeuroImage 124 (2016)
Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion
Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Comput. Biol. 12 (6) (2016)
Kimberly L. Ray, David H. Zald, Sebastian Bludau, Michael C. Riedel, Danilo Bzdok, J. Yanes, K. E. Falcone, Katrin Amunts, Peter T. Fox, Simon B. Eickhoff, Angela R. Laird
Co-activation based parcellation of the human frontal pole. NeuroImage 123 (2015)
Danilo Bzdok, Adrian Heeger, Robert Langner, Angela R. Laird, Peter T. Fox, Nicola Palomero-Gallagher, Brent A. Vogt, Karl Zilles, Simon B. Eickhoff
Subspecialization in the human posterior medial cortex. NeuroImage 106 (2015)
Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS (2015)
Angela R. Laird, Simon B. Eickhoff, Claudia Rottschy, Danilo Bzdok, Kimberly L. Ray, Peter T. Fox
Networks of task co-activations. NeuroImage 80 (2013)
Danilo Bzdok, Robert Langner, Simon B. Eickhoff, Angela R. Laird, Peter T. Fox
Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal Junction. PRNI (2013)
Danilo Bzdok, Robert Langner, Leonhard Schilbach, Oliver Jakobs, Christian Roski, Svenja Caspers, Angela R. Laird, Peter T. Fox, Karl Zilles, Simon B. Eickhoff
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding. NeuroImage 81 (2013)
Simon B. Eickhoff, Danilo Bzdok, Angela R. Laird, Florian Kurth, Peter T. Fox
Activation likelihood estimation meta-analysis revisited. NeuroImage 59 (3) (2012)
Simon B. Eickhoff, Danilo Bzdok, Angela R. Laird, Christian Roski, Svenja Caspers, Karl Zilles, Peter T. Fox
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation. NeuroImage 57 (3) (2011)

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Publication Activity (10 Years)

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Danilo Bzdok