Krzysztof Kotowski
Orcid: 0000-0003-2596-6517
According to our database1,
Krzysztof Kotowski
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
CoRR, 2024
Protein intrinsic disorder prediction using Attention U-Net and ProtTrans protein language model.
CoRR, 2024
2023
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
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Comput. Biol. Medicine, 2022
Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation.
BMC Bioinform., 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
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
Artif. Intell. Medicine, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018