| Soft computing approach to 3D lung nodule segmentation in CT P Badura, E Pietka Computers in biology and medicine 53, 230-243, 2014 | 75 | 2014 |
| Intracranial Hemorrhage Detection in Head CT Using Double-Branch Convolutional Neural Network, Support Vector Machine, and Random Forest A Sage, P Badura Applied Sciences 10 (21), 7577, 2020 | 58 | 2020 |
| Open architecture computer‐aided diagnosis system E Pietka, J Kawa, P Badura, D Spinczyk Expert Systems 27 (1), 17-39, 2010 | 31 | 2010 |
| Role of radiologists in CAD life-cycle E Piętka, J Kawa, D Spinczyk, P Badura, W Więcławek, J Czajkowska, ... European journal of radiology 78 (2), 225-233, 2011 | 24 | 2011 |
| Machine Learning for Biomedical Application M Strzelecki, P Badura Applied Sciences 12 (4), 2022, 2022 | 23 | 2022 |
| Automated size-specific dose estimates using deep learning image processing J Juszczyk, P Badura, J Czajkowska, A Wijata, J Andrzejewski, P Bozek, ... Medical Image Analysis 68, 101898, 2021 | 21 | 2021 |
| Time-Of-Flight Camera, Optical Tracker and Computed Tomography in Pairwise Data Registration B Pycinski, J Czajkowska, P Badura, J Juszczyk, E Pietka PLOS ONE 11 (7), e0159493, 2016 | 19 | 2016 |
| Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek Computerized Medical Imaging and Graphics 95, 102023, 2022 | 18 | 2022 |
| Deep learning approach to skin layers segmentation in inflammatory dermatoses J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek Ultrasonics 114, 106412, 2021 | 18 | 2021 |
| 4d segmentation of ewing’s sarcoma in MR images J Czajkowska, P Badura, E Pietka Information Technologies in Biomedicine: Volume 2, 91-100, 2010 | 15 | 2010 |
| Calibrating level set approach by granular computing in computed tomography abdominal organs segmentation P Badura, W Wieclawek Applied Soft Computing 49, 887-900, 2016 | 14 | 2016 |
| Accelerometric signals in automatic balance assessment P Badura Computerized Medical Imaging and Graphics 46, 169-177, 2015 | 14 | 2015 |
| Fuzzy Connectedness in Segmentation of Medical Images-A Look at the Pros and Cons. P Badura, J Kawa, J Czajkowska, M Rudzki, E Pietka IJCCI (ECTA-FCTA), 486-492, 2011 | 14 | 2011 |
| Automatic Berg Balance Scale assessment system based on accelerometric signals P Badura, E Pietka Biomedical Signal Processing and Control 24, 114-119, 2016 | 13 | 2016 |
| Radiological atlas for patient specific model generation J Kawa, J Juszczyk, B Pyciński, P Badura, E Pietka Information Technologies in Biomedicine, Volume 4, 69-82, 2014 | 13 | 2014 |
| 3D fuzzy liver tumor segmentation P Badura, E Pietka Information Technologies in Biomedicine: Third International Conference …, 2012 | 11 | 2012 |
| Semi-automatic seed points selection in fuzzy connectedness approach to image segmentation P Badura, E Pietka Computer Recognition Systems 2, 679-686, 2007 | 11 | 2007 |
| Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek, ... Sensors 21 (17), 5846, 2021 | 10 | 2021 |
| Multi-channel acoustic analysis of phoneme/s/mispronunciation for lateral sigmatism detection M Krecichwost, Z Miodonska, P Badura, J Trzaskalik, N Mocko Biocybernetics and Biomedical Engineering 39 (1), 246-255, 2019 | 10 | 2019 |
| Inertial data-based gait metrics correspondence to Tinetti Test and Berg Balance Scale assessments Z Miodonska, P Stepien, P Badura, B Choroba, J Kawa, J Derejczyk, ... Biomedical Signal Processing and Control 44, 38-47, 2018 | 10 | 2018 |
Joanna CzajkowskaSilesian University of Technology, Department of Informatics and Medical EquipmentVerified email at polsl.pl
