motilitAI: A machine learning framework for automatic prediction of human sperm motility-Reference-Cited by-同舟云学术

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motilitAI: A machine learning framework for automatic prediction of human sperm motility

Published:2022-08 Issue:8 Volume:25 Page:104644
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Ottl Sandra,Amiriparian Shahin^ORCID,Gerczuk Maurice,Schuller Björn W.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference49 articles.

1. Opencasa: a new open-source and scalable tool for sperm quality analysis;Alquézar-Baeta;PLoS Comput. Biol.,2019

2. Deep Representation Learning Techniques for Audio Signal Processing;Amiriparian;Technische Universität München,2019

3. Sentiment analysis using image-based deep spectrum features;Amiriparian,2017

4. Bag-of-deep-features: noise-robust deep feature representations for audio analysis;Amiriparian,2018

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1. Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications;Mayo Clinic Proceedings: Digital Health;2024-08

2. Human Sperm Detection and Tracking using Event-based Cameras and Unsupervised Learning;2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS);2024-07-01

3. Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature;Healthcare;2024-04-03

4. Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey;Current Opinion in Obstetrics & Gynecology;2024-04-01

5. The prospect of artificial intelligence to personalize assisted reproductive technology;npj Digital Medicine;2024-03-01

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