Krzysztof Kotowski

Orcid: 0000-0003-2596-6517

According to our database1, Krzysztof Kotowski authored at least 16 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
OXI: An online tool for visualization and annotation of satellite time series data.
SoftwareX, July, 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

The importance of ocular artifact removal in single-trial ERP analysis: The case of the N250 in face learning.
Biomed. Signal Process. Control., 2023

Machine Learning Detects Anomalies in OPS-SAT Telemetry.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Segmenting pediatric optic pathway gliomas from MRI using deep learning.
Comput. Biol. Medicine, 2022

Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation.
BMC Bioinform., 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
ProteinUnet - An efficient alternative to SPIDER3-single for sequence-based prediction of protein secondary structures.
J. Comput. Chem., 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

2019
Detection and Segmentation of Brain Tumors from MRI Using U-Nets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Deep Learning Features for Face Age Estimation: Better Than Human?
Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018


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