Michael N. Dworzak

According to our database1, Michael N. Dworzak authored at least 10 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers.
CoRR, 2024

FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers.
CoRR, 2023

2022
Automated identification of cell populations in flow cytometry data with transformers.
Comput. Biol. Medicine, 2022

Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers.
CoRR, 2021

2018
Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
A Clinical Tool for Automated Flow Cytometry Based on Machine Learning Methods.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures.
Pattern Recognit., 2016


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