Michael P. Hayball

According to our database, Michael P. Hayball authored at least 8 papers between 2014 and 2020.

Collaborative distances:

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

2020

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Krzysztof Kotowski, Izabela Burda, Bartosz Machura, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball

Artif. Intell. Medicine, 2020

2019

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball

CoRR, 2019

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball

Comput. Methods Programs Biomed., 2019

Data Augmentation via Image Registration.

Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Pawel Ulrych, Janusz Szymanek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Transferring Information Across Medical Images of Different Modalities.

Jakub Nalepa, Piotr Mokry, Janusz Szymanek, Michael P. Hayball

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Extracting Biomarkers from Dynamic Images - Approaches and Challenges.

Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017

Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning.

Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa, Michael P. Hayball, Sarah J. McQuaid, Vineet Prakash, Balaji Ganeshan

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2014

Texture Analysis for Identifying Heterogeneity in Medical Images.

Jakub Nalepa, Janusz Szymanek, Michael P. Hayball, Stephen J. Brown, Balaji Ganeshan, Kenneth Miles

Proceedings of the Computer Vision and Graphics - International Conference, 2014