Refined trajectory smoothing and deep learning classification of human sperm motility

Authors

Adrian Neild (ORCID: https://orcid.org/0000-0002-7571-2526)
Klaus Ackermann (ORCID: https://orcid.org/0000-0001-7693-8538)
Sharon T. Mortimer (ORCID: https://orcid.org/0000-0002-3498-5667)
Reza Nosrati (ORCID: https://orcid.org/0000-0002-1461-229X)
Sahar Shahali (ORCID: https://orcid.org/0009-0008-0564-360X)
David Mortimer
Deirdre Zander-Fox
Moira K O’Bryan
Robert McLachlan

Institutions

The University of Melbourne (AU)
Discovery Institute (US)
Hudson Institute of Medical Research (AU)
Monash IVF (AU)
Monash University (AU)
The University of Adelaide (AU)

Publication Details

Journal: Human Reproduction
Published: 2026-01-12
DOI: https://doi.org/10.1093/humrep/deag005
Primary Topic: Sperm and Testicular Function
Type: article
Field-Weighted Citation Impact: 0.00

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article

Refined trajectory smoothing and deep learning classification of human sperm motility

Adrian Neild, Klaus Ackermann, Sharon T. Mortimer, Reza Nosrati et al.

Jan 12, 2026

Human Reproduction

Sperm and Testicular Function

article

Refined trajectory smoothing and deep learning classification of human sperm motility

Adrian Neild, Klaus Ackermann, Sharon T. Mortimer, Reza Nosrati, Sahar Shahali, David Mortimer, Deirdre Zander-Fox, Moira K O’Bryan, Robert McLachlan

January 12, 2026article en

Abstract

No abstract available for this paper.

Human ReproductionVol. 41(3)

The University of Melbourne (AU), Discovery Institute (US), Hudson Institute of Medical Research (AU), Monash IVF (AU), Monash University (AU), The University of Adelaide (AU)

Openalex Percentile: Top 68%

Sperm and Testicular Function

DOI Open Access PDF OpenAlex

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