publications

2024

1. 

   The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review

   Julia Handra, Hannah James, Ashery Mbilinyi, and 8 more authors

   JMIR Cardio, 2024

   Bib PDF

   @article{handra2024role,
     title = {The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review},
     author = {Handra, Julia and James, Hannah and Mbilinyi, Ashery and Moller-Hansen, Ashley and O'Riley, Callum and Andrade, Jason and Deyell, Marc and Hague, Cameron and Hawkins, Nathaniel and Ho, Kendall and others},
     journal = {JMIR Cardio},
     volume = {8},
     number = {1},
     pages = {e60697},
     year = {2024},
     publisher = {JMIR Publications Inc., Toronto, Canada},
     show_bib = {true},
   }

2. 

   The State of Computer Vision Research in Africa

   Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila, and 8 more authors

   Journal of Artificial Intelligence Research, 2024

   Bib PDF

   @article{omotayo2024state,
     title = {The State of Computer Vision Research in Africa},
     author = {Omotayo, Abdul-Hakeem and Mbilinyi, Ashery and Ismaila, Lukman and Turki, Houcemeddine and Abdien, Mahmoud and Gamal, Karim and Tondji, Idriss and Pimi, Yvan and Etori, Naome A and Matar, Marwa M and others},
     journal = {Journal of Artificial Intelligence Research},
     volume = {81},
     pages = {43--69},
     year = {2024},
     show_bib = {true},
   }

3. A Survey on African Computer Vision Datasets, Topics and Researchers

   Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila, and 8 more authors

   arXiv preprint arXiv:2401.11617, 2024

2023

1. 

   Medical image retrieval for augmenting diagnostic radiology

   Ashery Mbilinyi

   University_of_Basel, 2023

   Bib PDF

   @phdthesis{mbilinyi2023medical,
     title = {Medical image retrieval for augmenting diagnostic radiology},
     author = {Mbilinyi, Ashery},
     year = {2023},
     school = {University\_of\_Basel},
     show_bib = {true},
   }

2022

1. 

   CheReS: a deep learning-based multi-faceted system for similarity search of chest X-rays

   Ashery Mbilinyi, and Heiko Schuldt

   In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022

   Bib PDF

   @inproceedings{mbilinyi2022cheres,
     title = {CheReS: a deep learning-based multi-faceted system for similarity search of chest X-rays},
     author = {Mbilinyi, Ashery and Schuldt, Heiko},
     booktitle = {Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing},
     pages = {669--676},
     year = {2022},
     show_bib = {true},
   }

2021

1. 

   Retrieving chest X-rays for differential diagnosis: A deep metric learning approach

   Ashery Mbilinyi, and Heiko Schuldt

   In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021

   Bib PDF

   @inproceedings{mbilinyi2021retrieving,
     title = {Retrieving chest X-rays for differential diagnosis: A deep metric learning approach},
     author = {Mbilinyi, Ashery and Schuldt, Heiko},
     booktitle = {2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)},
     pages = {1--4},
     year = {2021},
     organization = {IEEE},
     show_bib = {true},
   }

2020

1. 

   Cross-modality medical image retrieval with deep features

   Ashery Mbilinyi, and Heiko Schuldt

   In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020

   Bib PDF

   @inproceedings{mbilinyi2020cross,
     title = {Cross-modality medical image retrieval with deep features},
     author = {Mbilinyi, Ashery and Schuldt, Heiko},
     booktitle = {2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
     pages = {2632--2639},
     year = {2020},
     organization = {IEEE},
     show_bib = {true},
   }

2017

1. 

   Estimation and Adaptation Method for Students’ Learning Styles on Web-based Learning Environment

   Ashery Mbilinyi, Shinobu Hasegawa, and Akihiro Kashihara

   The Ninth International Conference on Mobile,Hybrid, and On-line Learning, 2017

   Bib PDF

   @article{mbilinyi2017estimation,
     title = {Estimation and Adaptation Method for Students’ Learning Styles on Web-based Learning Environment},
     author = {Mbilinyi, Ashery and Hasegawa, Shinobu and Kashihara, Akihiro},
     journal = {The Ninth International Conference on Mobile,Hybrid, and On-line Learning},
     pages = {9},
     year = {2017},
     show_bib = {true},
   }

2016

1. 

   Design for Adaptive User Interface for Modeling Students’ Learning Styles

   Ashery Mbilinyi, Shinobu Hasegawa, and Akihiro Kashihara

   In Human Interface and the Management of Information: Applications and Services: 18th International Conference, HCI International 2016 Toronto, Canada, July 17-22, 2016. Proceedings, Part II 18, 2016

   Bib PDF

   @inproceedings{mbilinyi2016design,
     title = {Design for Adaptive User Interface for Modeling Students’ Learning Styles},
     author = {Mbilinyi, Ashery and Hasegawa, Shinobu and Kashihara, Akihiro},
     booktitle = {Human Interface and the Management of Information: Applications and Services: 18th International Conference, HCI International 2016 Toronto, Canada, July 17-22, 2016. Proceedings, Part II 18},
     pages = {168--177},
     year = {2016},
     organization = {Springer},
     show_bib = {true},
   }