Author

Jasmeen Sidhu

Université de Sherbrooke

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Organism:human· 2 Approach:benchmark study· 1 Assay:multiome· 1

Frequent Co-Authors

Alessandro DaducciiD· 3 shared David RomascanoiD· 3 shared François RheaultiD· 3 shared Gabriel GirardiD· 3 shared Jean‐Philippe ThiraniD· 3 shared Maxime DescoteauxiD· 3 shared Muhamed BarakovićiD· 3 shared Peter NeheriD· 3 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Alessandro DaducciORCID

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3 papers

Recent·Most cited

Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge

Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Muhamed Baraković, David Romascano, Jonathan Rafael‐Patiño, Matteo Frigo, Gabriel Girard, Jean‐Philippe Thiran, Alessandro Daducci, Matt Rowe, Paulo Rodrigues, , Bennett A. Landman

The paper evaluates tractography reproducibility using empirical data from a single healthy volunteer scanned on two scanners, finding high consistency among top algorithms but variability due to tract volume containment.

Journal of Magnetic Resonance Imaging · Jun 9, 2019Peer-reviewedNeuroscience

Limits to anatomical accuracy of diffusion tractography using modern approaches

Kurt G. Schilling, Vishwesh Nath, Colin B. Hansen, Prasanna Parvathaneni, Justin A. Blaber, Yurui Gao, Peter Neher, Dogu Baran Aydogan, Yonggang Shi, Mario Ocampo‐Pineda, Simona Schiavi, Alessandro Daducci, Gabriel Girard, Muhamed Baraković, Jonathan Rafael‐Patiño, , Bennett A. Landman

This study evaluates modern diffusion tractography methods using a standardized challenge, finding no significant improvement in anatomical accuracy despite methodological advances.

NeuroImage · Oct 11, 2018Peer-reviewedNeuroscience

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