Lukas Haider

According to our database, Lukas Haider authored at least 6 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Integration of Python Modules in a MATLAB-Based Predictive Analytics Toolset for Healthcare.

Lukas Haider, Martin Baumgartner, Dieter Hayn, Günter Schreier

Proceedings of the dHealth 2022, 2022

Impact Analysis of De-Identification in Clinical Notes Classification.

Martin Baumgartner, Günter Schreier, Dieter Hayn, Karl Kreiner, Lukas Haider, Fabian Wiesmüller, Luca Brunelli, Gerhard Pölzl

Proceedings of the dHealth 2022, 2022

2021

ECG Classification Combining Conventional Signal Analysis, Random Forests and Neural Networks - a Stacked Learning Scheme.

Martin Baumgartner, Martin Kropf, Lukas Haider, Sai Veeranki, Dieter Hayn, Günter Schreier

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects.

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling.

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects.

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Hans Rolf Jäger, M. Jorge Cardoso

CoRR, 2018