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Danilo Bzdok
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- affiliation: RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Germany
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2020 – today
- 2024
- [c7]Liam Hodgson, Danilo Bzdok:
Estimating Unknown Population Sizes Using the Hypergeometric Distribution. ICML 2024 - [i9]Karam Ghanem
, Danilo Bzdok:
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models. CoRR abs/2402.13369 (2024) - [i8]Liam Hodgson, Danilo Bzdok:
Estimating Unknown Population Sizes Using the Hypergeometric Distribution. CoRR abs/2402.14220 (2024) - [i7]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 abs/2406.14794 (2024) - 2023
- [j28]Xinxu Wei
Orientation and Context Entangled Network for Retinal Vessel Segmentation. Expert Syst. Appl. 217: 119443 (2023) - [j27]MaryAnn P. Noonan
Home alone: A population neuroscience investigation of brain morphology substrates. NeuroImage 269: 119936 (2023) - [j26]Xiaoxuan Yan
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage 273: 120010 (2023) - [j25]Jianzhong Chen, Leon Qi Rong Ooi, Trevor Wei Kiat Tan
Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study. NeuroImage 274: 120115 (2023) - 2022
- [j24]Nahiyan Malik
From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning. Neural Networks 153: 325-338 (2022) - [j23]Robert Carruthers, Isabel Straw
Representational ethical model calibration. npj Digit. Medicine 5 (2022) - [i6]Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li:
Orientation and Context Entangled Network for Retinal Vessel Segmentation. CoRR abs/2207.11396 (2022) - [i5]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 abs/2207.12043 (2022) - 2021
- [j22]Bo-yong Park, Reinder Vos de Wael
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. NeuroImage 224: 117429 (2021) - [j21]Eva Loth
The meaning of significant mean group differences for biomarker discovery. PLoS Comput. Biol. 17(11) (2021) - [i4]Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok:
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction. CoRR abs/2110.06135 (2021) - 2020
- [j20]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) - [j19]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: 116745 (2020) - [j18]Jessica Royer, Casey Paquola, Sara Larivière
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity. NeuroImage 216: 116859 (2020) - [j17]Danilo Bzdok
Inference and Prediction Diverge in Biomedicine. Patterns 1(8): 100119 (2020)
2010 – 2019
- 2019
- [j16]Danilo Bzdok, Thomas E. Nichols
Towards algorithmic analytics for large-scale datasets. Nat. Mach. Intell. 1(7): 296-306 (2019) - [j15]Alexander Geiger, Gary Bente, Sebastian Lammers
Distinct functional roles of the mirror neuron system and the mentalizing system. NeuroImage 202 (2019) - [i3]Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis:
Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR abs/1912.08755 (2019) - 2018
- [j14]Hao-Ting Wang
Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest. NeuroImage 176: 518-527 (2018) - [j13]Gaël Varoquaux, Yannick Schwartz, Russell A. Poldrack
Atlases of cognition with large-scale human brain mapping. PLoS Comput. Biol. 14(11) (2018) - [c6]Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI 2018: 1-4 - [i2]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 abs/1812.02598 (2018) - 2017
- [j12]Danilo Bzdok, B. T. Thomas Yeo
Inference in the age of big data: Future perspectives on neuroscience. NeuroImage 155: 549-564 (2017) - [j11]Deniz Vatansever
Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour. NeuroImage 158: 1-11 (2017) - [j10]Mehdi Rahim, Bertrand Thirion, Danilo Bzdok, Irène Buvat
Joint prediction of multiple scores captures better individual traits from brain images. NeuroImage 158: 145-154 (2017) - [c5]Thilo Böhm, Felix Engel
Approach to semi-automatic labeling of video sequences for affective computing-enabling the comprehensive assessment of emotion detection software from mimics. BIBM 2017: 1996-2000 - [c4]Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion:
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. IPMI 2017: 323-335 - [c3]Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux:
Learning Neural Representations of Human Cognition across Many fMRI Studies. NIPS 2017: 5883-5893 - [i1]Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux:
Learning Neural Representations of Human Cognition across Many fMRI Studies. CoRR abs/1710.11438 (2017) - 2016
- [b1]Danilo Bzdok:
Statistical Learning of Biological Structure in Human Brain Imaging. Heinrich Heine University Düsseldorf, 2016 - [j9]Andrew T. Reid
ANIMA: A data-sharing initiative for neuroimaging meta-analyses. NeuroImage 124: 1245-1253 (2016) - [j8]Simon B. Eickhoff
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage 137: 70-85 (2016) - [j7]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) - 2015
- [j6]Danilo Bzdok, Adrian Heeger, Robert Langner
Subspecialization in the human posterior medial cortex. NeuroImage 106: 55-71 (2015) - [j5]Kimberly L. Ray
Co-activation based parcellation of the human frontal pole. NeuroImage 123: 200-211 (2015) - [c2]Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux:
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS 2015: 3348-3356 - 2013
- [j4]Angela R. Laird
Networks of task co-activations. NeuroImage 80: 505-514 (2013) - [j3]Danilo Bzdok, Robert Langner
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding. NeuroImage 81: 381-392 (2013) - [c1]Danilo Bzdok, Robert Langner
Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal Junction. PRNI 2013: 62-65 - 2012
- [j2]Simon B. Eickhoff
Activation likelihood estimation meta-analysis revisited. NeuroImage 59(3): 2349-2361 (2012) - 2011
- [j1]Simon B. Eickhoff
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation. NeuroImage 57(3): 938-949 (2011)
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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