Danilo Bzdok - RankMe

52 papers A* 1Misc 1Journal 43Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Morphometric dissimilarity in association cortices linked to autism subtype with more severe symptoms. NeuroImage Hongxiu Jiang, Raúl Rodríguez-Cruces, Ke Xie, Valeria Kebets, Yezhou Wang, Clara F. Weber, Ying He, Jonah Kember, Hilary Sweatman, Zeus Gracia-Tabuenca, Jean-Baptiste Poline, Danilo Bzdok, Seok-Jun Hong, Boris C. Bernhardt, Xiaoqian J. Chai
2026	J	`jnl`	Quantifying LLM Attention-Head Stability: Implications for Circuit Universality. CoRR Karan Bali, Jack Stanley, Praneet Suresh, Danilo Bzdok
2025	J	`jnl`	From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers. CoRR Praneet Suresh, Jack Stanley, Sonia Joseph, Luca Scimeca, Danilo Bzdok
2025	Misc	`conf`	ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. ICASSP Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2025	J	`jnl`	Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video. CoRR Sonia Joseph, Praneet Suresh, Lorenz Hufe, Edward Stevinson, Robert Graham, Yash Vadi, Danilo Bzdok, Sebastian Lapuschkin, Lee Sharkey, Blake Aaron Richards
2025	J	`jnl`	Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort. Nat. Comput. Sci. Nicole Osayande, Justin Marotta, Shambhavi Aggarwal, Jakub Kopal, Avram J. Holmes, Sarah W. Yip, Danilo Bzdok
2025	J	`jnl`	Steering CLIP's vision transformer with sparse autoencoders. CoRR Sonia Joseph, Praneet Suresh, Ethan Goldfarb, Lorenz Hufe, Yossi Gandelsman, Robert Graham, Danilo Bzdok, Wojciech Samek, Blake Aaron Richards
2024	A*	`conf`	Estimating Unknown Population Sizes Using the Hypergeometric Distribution. ICML Liam Hodgson, Danilo Bzdok
2024	J	`jnl`	Estimating Unknown Population Sizes Using the Hypergeometric Distribution. CoRR Liam Hodgson, Danilo Bzdok
2024	J	`jnl`	ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. CoRR Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2024	J	`jnl`	The Uncanny Valley: A Comprehensive Analysis of Diffusion Models. CoRR Karam Ghanem, Danilo Bzdok
2023	J	`jnl`	Home alone: A population neuroscience investigation of brain morphology substrates. NeuroImage MaryAnn P. Noonan, Chris Zajner, Danilo Bzdok
2023	J	`jnl`	Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage 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
2023	J	`jnl`	Orientation and Context Entangled Network for Retinal Vessel Segmentation. Expert Syst. Appl. Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
2023	J	`jnl`	Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study. NeuroImage 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
2022	J	`jnl`	From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning. Neural Networks Nahiyan Malik, Danilo Bzdok
2022	J	`jnl`	Orientation and Context Entangled Network for Retinal Vessel Segmentation. CoRR Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
2022	J	`jnl`	Representational Ethical Model Calibration. CoRR Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2022	J	`jnl`	Representational ethical model calibration. npj Digit. Medicine Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2021	J	`jnl`	Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction. CoRR Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok
2021	J	`jnl`	Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. NeuroImage 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
2021	J	`jnl`	The meaning of significant mean group differences for biomarker discovery. PLoS Comput. Biol. 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 J. H. Jones, Tony Charman, Christian F. Beckmann, Thomas Bourgeron, Roberto Toro, Jan K. Buitelaar, Declan G. M. Murphy, Guillaume Dumas
2020	J	`jnl`	Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
2020	J	`jnl`	Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. NeuroImage Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
2020	J	`jnl`	Inference and Prediction Diverge in Biomedicine. Patterns Danilo Bzdok, Denis A. Engemann, Bertrand Thirion
2020	J	`jnl`	Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity. NeuroImage 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
2019	J	`jnl`	Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
2019	J	`jnl`	Distinct functional roles of the mirror neuron system and the mentalizing system. NeuroImage Alexander Geiger, Gary Bente, Sebastian Lammers, Ralf Tepest, Daniel Roth, Danilo Bzdok, Kai Vogeley
2019	J	`jnl`	Towards algorithmic analytics for large-scale datasets. Nat. Mach. Intell. Danilo Bzdok, Thomas E. Nichols, Stephen M. Smith
2018	J	`jnl`	Atlases of cognition with large-scale human brain mapping. PLoS Comput. Biol. Gaël Varoquaux, Yannick Schwartz, Russell A. Poldrack, Baptiste Gauthier, Danilo Bzdok, Jean-Baptiste Poline, Bertrand Thirion
2018	J	`jnl`	Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. CoRR Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
2018	—	`conf`	Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
2018	J	`jnl`	Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest. NeuroImage Hao-Ting Wang, Danilo Bzdok, Daniel S. Margulies, R. Cameron Craddock, Michael P. Milham, Elizabeth Jefferies, Jonathan Smallwood
2017	—	`conf`	Approach to semi-automatic labeling of video sequences for affective computing-enabling the comprehensive assessment of emotion detection software from mimics. BIBM Thilo Böhm, Felix Engel, Danilo Bzdok, Frank Schneider, Matthias L. Hemmje
2017	—	`conf`	Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. IPMI Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion
2017	J	`jnl`	Inference in the age of big data: Future perspectives on neuroscience. NeuroImage Danilo Bzdok, B. T. Thomas Yeo
2017	J	`jnl`	Joint prediction of multiple scores captures better individual traits from brain images. NeuroImage Mehdi Rahim, Bertrand Thirion, Danilo Bzdok, Irène Buvat, Gaël Varoquaux
2017	—	`conf`	Learning Neural Representations of Human Cognition across Many fMRI Studies. NIPS Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
2017	J	`jnl`	Learning Neural Representations of Human Cognition across Many fMRI Studies. CoRR Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
2017	J	`jnl`	Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour. NeuroImage Deniz Vatansever, Danilo Bzdok, Hao-Ting Wang, Giovanna Mollo, Mladen Sormaz, Charlotte Murphy, Theodoros Karapanagiotidis, Jonathan Smallwood, Elizabeth Jefferies
2016	J	`jnl`	ANIMA: A data-sharing initiative for neuroimaging meta-analyses. NeuroImage 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
2016	J	`jnl`	Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage Simon B. Eickhoff, Thomas E. Nichols, Angela R. Laird, Felix Hoffstaedter, Katrin Amunts, Peter T. Fox, Danilo Bzdok, Claudia R. Eickhoff
2016	J	`jnl`	Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Comput. Biol. Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion
2016	—	`—`	Statistical Learning of Biological Structure in Human Brain Imaging. Danilo Bzdok
2015	J	`jnl`	Co-activation based parcellation of the human frontal pole. NeuroImage 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
2015	—	`conf`	Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux
2015	J	`jnl`	Subspecialization in the human posterior medial cortex. NeuroImage Danilo Bzdok, Adrian Heeger, Robert Langner, Angela R. Laird, Peter T. Fox, Nicola Palomero-Gallagher, Brent A. Vogt, Karl Zilles, Simon B. Eickhoff
2013	—	`conf`	Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal Junction. PRNI Danilo Bzdok, Robert Langner, Simon B. Eickhoff, Angela R. Laird, Peter T. Fox
2013	J	`jnl`	Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding. NeuroImage Danilo Bzdok, Robert Langner, Leonhard Schilbach, Oliver Jakobs, Christian Roski, Svenja Caspers, Angela R. Laird, Peter T. Fox, Karl Zilles, Simon B. Eickhoff
2013	J	`jnl`	Networks of task co-activations. NeuroImage Angela R. Laird, Simon B. Eickhoff, Claudia Rottschy, Danilo Bzdok, Kimberly L. Ray, Peter T. Fox
2012	J	`jnl`	Activation likelihood estimation meta-analysis revisited. NeuroImage Simon B. Eickhoff, Danilo Bzdok, Angela R. Laird, Florian Kurth, Peter T. Fox
2011	J	`jnl`	Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation. NeuroImage Simon B. Eickhoff, Danilo Bzdok, Angela R. Laird, Christian Roski, Svenja Caspers, Karl Zilles, Peter T. Fox