| Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors J Nalepa, PR Lorenzo, M Marcinkiewicz, B Bobek-Billewicz, ... Artificial Intelligence in Medicine 102, 101769, 2020 | 56 | 2020 |
| Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing K Kotowski, K Stapor, J Leski, M Kotas Biocybernetics and Biomedical Engineering 38 (4), 773-781, 2018 | 40 | 2018 |
| ProteinUnet—An efficient alternative to SPIDER3‐single for sequence‐based prediction of protein secondary structures K Kotowski, T Smolarczyk, I Roterman‐Konieczna, K Stapor Journal of Computational Chemistry, 2020 | 29 | 2020 |
| Improved robust weighted averaging for event-related potentials in EEG K Kotowski, K Stapor, J Leski Biocybernetics and Biomedical Engineering 39 (4), 1036-1046, 2019 | 22 | 2019 |
| The N250 event-related potential as an index of face familiarity: a replication study W Sommer, K Stapor, G Kończak, K Kotowski, P Fabian, J Ochab, A Bereś, ... Royal Society open science 8 (6), 202356, 2021 | 14 | 2021 |
| Brainlesion: Glioma K Kotowski, J Nalepa, W Dudzik Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020 | 14 | 2020 |
| Segmenting pediatric optic pathway gliomas from MRI using deep learning J Nalepa, S Adamski, K Kotowski, S Chelstowska, ... Computers in Biology and Medicine 142, 105237, 2022 | 13 | 2022 |
| Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI K Kotowski, S Adamski, B Machura, L Zarudzki, J Nalepa International MICCAI Brainlesion Workshop, 197-209, 2021 | 13 | 2021 |
| Deep learning methods in electroencephalography K Kotowski, K Stapor, J Ochab Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 13 | 2020 |
| Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre-and post-operative glioblastoma patients J Nalepa, K Kotowski, B Machura, S Adamski, O Bozek, B Eksner, ... Computers in Biology and Medicine 154, 106603, 2023 | 12 | 2023 |
| Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma P Donizy, M Krzyzinski, A Markiewicz, P Karpinski, K Kotowski, A Kowalik, ... European Journal of Cancer 174, 251-260, 2022 | 10 | 2022 |
| Detection and segmentation of brain tumors from MRI using U-Nets K Kotowski, J Nalepa, W Dudzik International MICCAI Brainlesion Workshop, 179-190, 2020 | 10 | 2020 |
| Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features K Kotowski, D Kucharski, B Machura, S Adamski, BG Becker, A Krason, ... Computers in Biology and Medicine 152, 106378, 2023 | 9 | 2023 |
| Segmenting brain tumors from MRI using cascaded 3D U-nets K Kotowski, S Adamski, W Malara, B Machura, L Zarudzki, J Nalepa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 8 | 2021 |
| Speckle tracking approaches in speckle sensing TOH Charrett, K Kotowski, RP Tatam Optical Sensors 2017 10231, 97-104, 2017 | 6 | 2017 |
| Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation K Stapor, K Kotowski, T Smolarczyk, I Roterman BMC bioinformatics 23 (1), 100, 2022 | 5 | 2022 |
| Deep learning features for face age estimation: better than human? K Kotowski, K Stapor Beyond Databases, Architectures and Structures. Facing the Challenges of …, 2018 | 5 | 2018 |
| Machine Learning Detects Anomalies in OPS-SAT Telemetry B Ruszczak, K Kotowski, J Andrzejewski, A Musiał, D Evans, ... International Conference on Computational Science, 295-306, 2023 | 3 | 2023 |
| The importance of ocular artifact removal in single-trial ERP analysis: The case of the N250 in face learning K Kotowski, J Ochab, K Stapor, W Sommer Biomedical Signal Processing and Control 79, 104115, 2023 | 3 | 2023 |
| Machine Learning and EEG for Emotional State Estimation K Kotowski, K Stapor The Science of Emotional Intelligence, 75, 2021 | 3 | 2021 |
Jakub NalepaSilesian University of TechnologyVerified email at polsl.pl
