Author

Luís Miguel Lacerda

King's College LondonORCID 0000-0001-5000-6492Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Flavio Dell’AcquaiD· 2 shared Francisco De Santiago Requejo· 2 shared Marco CataniiD· 2 shared Pedro A. Luque LagunaiD· 2 shared Rachel L. C. BarrettiD· 2 shared Ahmad BeyhiD· 1 shared Aldo QuattroneiD· 1 shared Alessandro DaducciiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersNeuroscience

Flavio Dell’AcquaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

MegaTrack: a framework for the anatomically accurate and time-efficient virtual dissection and analysis of large-scale tractography datasets

Flavio Dell’Acqua, Ahmad Beyh, Richard Stones, Rachel L. C. Barrett, Francisco De Santiago Requejo, Pedro A. Luque Laguna, Luís Miguel Lacerda, Catherine Davison, Anoushka Leslie, Henrietta Howells, Laura H. Goldstein, Steven Williams, Marco Catani

MegaTrack provides a framework for efficient and anatomically accurate analysis of large-scale tractography datasets, enabling rapid dissection and metric extraction with high reproducibility and reduced processing time.

bioRxiv · May 27, 2025 · PreprintNeuroscience

Tractography-based connectomes are dominated by false-positive connections

Klaus Hermann Maier-Hein, Peter Neher, Jean‐Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, jinyu zhong, Maxime Chamberland, Fang-Cheng F. Yeh, Ying‐Chia Lin, Qing Ji, Wilburn E. Reddick, John O. Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, , Maxime Descoteaux

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

Nature Communications · Nov 1, 2017Peer-reviewedNeuroscience