Author

Annachiara Korchmaros

Child Mind InstituteORCID 0000-0002-7334-669XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 4 Approach:statistical model· 3 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:non-human primate· 1

Frequent Co-Authors

Jae Wook ChoiD· 2 shared José Antonio Ramírez-RafaeliD· 2 shared Marc HellmuthiD· 2 shared Michael Peter MilhamiD· 2 shared Peter Florian StadleriD· 2 shared Ting XuiD· 2 shared Adam MessingeriD· 1 shared Alan Charles EvansiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Jae Wook ChoORCID

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4 papers

Recent·Most cited

REvolutionH-tl: A Fast and Robust Tool for Decoding Evolutionary Gene Histories

José Antonio Ramírez-Rafael, Annachiara Korchmaros, Katia Aviña‐Padilla, Alitzel López Sánchez, Gabriel Martinez-Medina, Alfredo José Hernández-Álvarez, Marc Hellmuth, Peter Florian Stadler, Maribel Hernández-Rosales

REvolutionH-tl automates evolutionary gene history analysis from sequence data, outperforming existing tools in speed and accuracy with integrated visualization.

PLoS Computational Biology · Aug 12, 2026Peer-reviewedBioinformatics

Partial Fitch Graphs: Characterization, Satisfiability and Complexity

Marc Hellmuth, Annachiara Korchmaros, José Antonio Ramírez-Rafael, Bruno Schmidt, Peter Florian Stadler, Sandhya Thekkumpadan Puthiyaveedu

The paper characterizes partial Fitch graphs, shows their satisfiability, and proves NP-hardness of recovering full Fitch graphs from partial data.

Journal of Combinatorial Optimization · Aug 1, 2026Peer-reviewedBioinformatics

Impact of Concatenating fMRI Data on Reliability for Functional Connectomics

Jae Wook Cho, Annachiara Korchmaros, Joshua T Vogelstein, Michael Peter Milham, Ting Xu

The paper examines how concatenating fMRI data affects the reliability of functional connectomics, finding that concatenating multiple scans under the same state improves reliability compared to a single long scan.

NeuroImage · Nov 25, 2020Peer-reviewedNeuroscience

U-Net Model for Brain Extraction: Trained on Humans for Transfer to Non-human Primates

Xindi Wang, Xinhui Li, Jae Wook Cho, Brian Edward Russ, Nanditha Rajamani, Alisa A. Omelchenko, Lei Ai, Annachiara Korchmaros, Stephen J. Sawiak, R. Austin Benn, Pamela García-Saldivar, Zheng Wang, Ned H. Kalin, Charles E. Schroeder, Richard Cameron Craddock, , Ting Xu

The paper develops a transfer-learning U-Net model for brain extraction in non-human primates using human data, achieving better performance than traditional methods and popular MRI packages.

bioRxiv · Nov 17, 2020 · PreprintNeuroscience