Michal K. Grzeszczyk

Orcid: 0000-0002-5304-1020

According to our database1, Michal K. Grzeszczyk authored at least 11 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
MISS: Multiclass Interpretable Scoring Systems.
CoRR, 2024

2023
BabyNet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.
Comput. Biol. Medicine, December, 2023

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
CoRR, 2023

Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load.
CoRR, 2023

TabAttention: Learning Attention Conditionally on Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation.
Proceedings of the Computational Science - ICCS 2023, 2023

Designing Personalised Gamification of mHealth Survey Applications.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
Proceedings of the Computational Science - ICCS 2022, 2022


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