Bartosz Machura

Orcid: 0000-0001-7953-7684

According to our database1, Bartosz Machura authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies.
Comput. Medical Imaging Graph., 2024

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

2023
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients.
Comput. Biol. Medicine, March, 2023

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features.
Comput. Biol. Medicine, 2023

2022
Robustifying Automatic Assessment of Brain Tumor Progression from MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
Artif. Intell. Medicine, 2020

Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020


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