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- 2023
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Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
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Mark
Learning to Control the Cloud
2023)(
- Thesis › Doctoral thesis (monograph)
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Mark
Critical Scaling in Particle Systems and Random Graphs
(
- Thesis › Doctoral thesis (compilation)
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Mark
Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences
(
- Contribution to journal › Article
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Mark
Precise localization of corneal reflections in eye images using deep learning trained on synthetic data
2023) In Behavior Research Methods(
- Contribution to journal › Article
- 2022
-
Mark
Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation
(
- Contribution to journal › Article
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Mark
A Shared Pose Regression Network for Pose Estimation of Objects from RGB Images
2022) IEEE/RSJ International Conference on Signal Image Technology & Internet Based Systems (SITIS) 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Neural network training with highly incomplete medical datasets
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- Contribution to journal › Article
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Mark
Combining computational fluid dynamics and neural networks to characterize microclimate extremes : Learning the complex interactions between meso-climate and urban morphology
(
- Contribution to journal › Article
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Mark
Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding