Publications
Spis wybranych, najwyżej punktowanych, publikacji powstałych na przestrzeni ostatnich lat.
2023
Kwiendacz, H., Nabrdalik, K., Wijata, A.M., Bartman, W., Tabor, E., Olejarz, A., Król, J., Piaśnik, J., Nalepa, J., Stompór, T., Gumprecht, J., & Lip, G.Y.H. (2023). Relationship of vitamin D deficiency to cardiovascular disease and glycemic control in patients with type 2 diabetes mellitus: The Silesia Diabetes-Heart Project. Pol Arch Intern Med. https://doi.org/10.20452/pamw.16445
IF = 5,218
MEiN: 140 pkt
Zawiślak-Fornagiel, K., Ledwoń, D., Bugdol, M., Romaniszyn-Kania, P., Małecki, A., Gorzkowska, A., & Mitas, A.W. (2023). The Increase of Theta Power and Decrease of Alpha/Theta Ratio as a Manifestation of Cognitive Impairment in Parkinson’s Disease. J. Clin. Med., 12, 1569. https://doi.org/10.3390/jcm12041569
IF = 4,96
MEiN: 140 pkt
Nabrdalik, K., Kwiendacz, H., Drożdż, K., Irlik, K., Hendel, M., Wijata, A. M., Nalepa, J., Correa, E., Hajzler, W., Janota, O., Wójcik, W., Gumprecht, J., & Lip, G. Y. H. (2023). Machine learning predicts cardiovascular events in patients with diabetes: The Silesia Diabetes-Heart Project. Current problems in cardiology, 101694. https://doi.org/10.1016/j.cpcardiol.2023.101694
IF = 16,464
MEiN: 100 pkt
Ledwoń, D., Danch-Wierzchowska, M., Doroniewicz, I., Kieszczyńska, K., Affanasowicz, A., Latos, D., Matyja, M., Mitas, A.W., & Myśliwiec, A. (2023). Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features. Computer Methods and Programs in Biomedicine, 233, 107455. https://doi.org/10.1016/j.cmpb.2023.107455
IF = 7,027
MEiN: 100 pkt
Nurzyńska, K., Li, D., Walts, A.E., & Gertych, A. (2023). Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB). Computer Methods and Programs in Biomedicine, 234, 107518. https://doi.org/10.1016/j.cmpb.2023.107518
IF = 7,027
MEiN: 100 pkt
Maćkowski, M., Brzoza, P., Kawulok, M., Meisel, R., & Spinczyk, D. (2023). Multimodal Presentation of Interactive Audio-Tactile Graphics Supporting the Perception of Visual Information by Blind People. ACM Trans. Multimedia Comput. Commun. Appl. https://doi.org/10.1145/3586076
IF = 4,094
MEiN: 100 pkt
Szkiełkowska, A., Krasnodębska, P., Mitas, A., Bugdol, M., Bugdol, M., Romaniszyn-Kania, P., & Pollak, A. (2023). Electrophysiological predictors of hyperfunctional dysphonia. Acta oto-laryngologica, 143(1), 56–63. https://doi.org/10.1080/00016489.2022.2162961
IF = 1,698
MEiN: 70 pkt
2022
Czajkowska, J., Badura, P., Korzekwa, S., & Płatkowska-Szczerek, A. (2022). Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness. Computerized Medical Imaging and Graphics, 95, 1–11. http://doi.org/10.1016/j.compmedimag.2021.102023
IF = 7,422
MEiN: 100 pkt
Wu, J., Raz, Y., Recouvreux, M. S., Diniz, M. A., Lester, J., Karlan, B. Y., Walts, A. E., Gertych, A., & Orsulic, S. (2022). Focal Serous Tubal Intra-Epithelial Carcinoma Lesions Are Associated With Global Changes in the Fallopian Tube Epithelia and Stroma. Frontiers in oncology, 12, 853755. https://doi.org/10.3389/fonc.2022.853755
IF = 5,738
MEiN: 100 pkt
Orsulic, S., John, J., Walts, A. E., & Gertych, A. (2022). Computational pathology in ovarian cancer. Frontiers in Oncology, 12, 924945. https://doi.org/10.3389/fonc.2022.924945
IF = 5,738
MEiN: 100 pkt
Ledwoń, D., Sage, A., Juszczyk, J., Rudzki, M., & Badura, P. (2022). Tomographic reconstruction from planar thermal imaging using convolutional neural network. Sci Rep, 12, 2347. https://doi.org/10.1038/s41598-022-06076-z
IF = 4,996
MEiN: 140 pkt
Więcławek, W., Danch-Wierzchowska, M., Rudzki, M., Sędziak-Marcinek, B., & Teper, S. J. (2021). Ultra-Widefield Fluorescein Angiography Image Brightness Compensation Based on Geometrical Features. Sensors (Basel, Switzerland), 22(1), 12. https://doi.org/10.3390/s22010012
IF = 3,847
MEiN: 100 pkt
Stępień, P., Kawa, J., Sitek, E. J., Wieczorek, D., Sikorski, R., Dąbrowska, M., Sławek, J., & Pietka, E. (2022). Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease. Sensors (Basel, Switzerland), 22(4), 1688. https://doi.org/10.3390/s22041688
IF = 3,847
MEiN: 100 pkt
Spinczyk D. (2022). Measuring Respiratory Motion for Supporting the Minimally Invasive Destruction of Liver Tumors. Sensors (Basel, Switzerland), 22(17), 6446. https://doi.org/10.3390/s22176446
IF = 3,847
MEiN: 100 pkt
Kręcichwost, M., Sage, A., Miodońska, Z., & Badura, P. (2022). 4D Multimodal Speaker Model for Remote Speech Diagnosis. IEEE Access, 10, pp. 93187-93202. https://doi.org/10.1109/ACCESS.2022.3203572
IF = 3,476
MEiN: 100 pkt
Marzec, M., Piórkowski, A. & Gertych, A. (2022). Efficient automatic 3D segmentation of cell nuclei for high-content screening. BMC Bioinformatics, 23, 203 . https://doi.org/10.1186/s12859-022-04737-4
IF = 3,328
MEiN: 100 pkt
Rojewska, K., Maćkowska, S., Maćkowski, M., Różańska, A., Barańska, K., Dzieciątko, M., & Spinczyk, D. (2022). Natural Language Processing and Machine Learning Supporting the Work of a Psychologist and Its Evaluation on the Example of Support for Psychological Diagnosis of Anorexia. Appl. Sci, 12, 4702. https://doi.org/10.3390/app12094702
IF = 2,838
MEiN: 100 pkt
Barańska, K., Różańska, A., Maćkowska, S., Rojewska, K., & Spinczyk, D. (2022). Determining the Intensity of Basic Emotions among People Suffering from Anorexia Nervosa Based on Free Statements about Their Body. Electronics , 11, 138. https://doi.org/10.3390/electronics11010138
IF = 2,69
MEiN: 100 pkt
Miodońska, Z., Badura, P., & Moćko, N. (2022). Noise-based acoustic features of normative and non-normative productions of Polish retroflex fricatives in children. Journal of Phonetics, 92, 101149. https://doi.org/10.1016/j.wocn.2022.101149
IF = 2,44
MEiN: 200 pkt
2021
Juszczyk, J., Badura, P., Czajkowska, J., Wijata, A., Andrzejewski, J., Bożek, P., Smoliński, M., Biesok, M., Sage, A., Rudzki, M., & Więcławek, W. (2021). Automated size-specific dose estimates using deep learning image processing. Medical Image Analysis, 68, 101898. https://doi.org/10.1016/j.media.2020.101898
IF = 11,148 
Klimov, S., Xue, Y., Gertych, A., Graham, R., Jiang, Y., Bhattarai, S., Pandol S.J., Rakha E.A., Reid M.D., & Aneja, R. (2020). Predicting Metastasis Risk in Pancreatic Neuroendocrine Tumors (PanNET) using Deep Learning Image Analysis. Frontiers in Oncology, 10, 3336. https://doi.org/10.3389/fonc.2020.593211
IF = 4,848 
Kręcichwost, M., Czajkowska, J., Wijata, A., Juszczyk, J., Pyciński, B., Biesok, M., Rudzki, M., Majewski, J., Kostecki, J. & Pietka, E. (2021). Chronic wounds multimodal image database. Computerized Medical Imaging and Graphics, 101844. https://doi.org/10.1016/j.compmedimag.2020.101844
IF = 3,758 
Bas, M., Król, K., & Spinczyk, D. (2021). Target registration error reduction for percutaneous abdominal intervention. Computerized Medical Imaging and Graphics, 87, 101839. https://doi.org/10.1016/j.compmedimag.2020.101839
IF = 3,758 
Gallego, J., Swiderska-Chadaj, Z., Markiewicz, T., Yamashita, M., Gabaldon, M. A., & Gertych, A. (2021). A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues. Computerized Medical Imaging and Graphics, 101865. https://doi.org/10.1016/j.compmedimag.2021.101865
IF = 3,758 
Nowakowska-Lipiec, K., Michnik, R., Niedzwiedź, S., Mańka, A., Twardawa, P., Turner, B., Romaniszyn-Kania, P., Danecka, A. & Mitas, A. W. (2021). Effect of Short-Term Metro-Rhythmic Stimulations on Gait Variability. In Healthcare (Vol. 9, No. 2, p. 174). Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/healthcare9020174
IF = 1,916 
2020
Czajkowska, J., Korzekwa, S., & Piętka, E. (2020). Computer Aided Diagnosis of Atopic Dermatitis. Computerized Medical Imaging and Graphics, 79, 101676. https://doi.org/10.1016/j.compmedimag.2019.101676
IF = 3,75 
Romaniszyn, P., Kawa, J., Stępień, P., & Nawrat-Szołtysik, A. (2020). Video-based time assessment in 360 degrees turn Berg balance test. Computerized Medical Imaging and Graphics, 80, 101689. https://doi.org/10.1016/j.compmedimag.2019.101689
IF = 3,75 
Juszczyk, J., Wijata, A., Czajkowska, J., Kręcichwost, M., Rudzki, M., Biesok, M., Pyciński, B., Majewski, J., Kostecki, J., & Pietka, E. (2020). Wound 3D geometrical feature estimation using Poisson reconstruction. IEEE Access, 1. https://doi.org/10.1109/ACCESS.2020.3035125
IF = 3,745 
Doroniewicz, I., Ledwoń, D. J., Affanasowicz, A., Kieszczyńska, K., Latos, D., Matyja, M., Mitas, A. W., & Myśliwiec, A. (2020). Writhing movement detection in newborns on the second and third day of life using pose-based feature machine learning classification. Sensors (Switzerland), 20(21), 1–15. https://doi.org/10.3390/s20215986
IF = 3,275 
Romaniszyn-Kania, P., Pollak, A., Danch-Wierzchowska, M., Kania, D., Myśliwiec, A. P., Piętka, E., & Mitas, A. W. (2020). Hybrid system of emotion evaluation in physiotherapeutic procedures. Sensors (Switzerland), 20(21), 1–19. https://doi.org/10.3390/s20216343
IF = 3,275 
Spinczyk, D., Stronczek, M., Badura, A., Sperka, P., Krywalska, D., Wolinska, A., Krasoń, A., Fabian, S., Bas, M., Woloshuk, A., Zylkowski, J., Rosiak, G., Konecki, D., Milczarek, K., Rowinski, O., & Pietka, E. (2020). Initial clinical evaluation of image fusion based on rigid registration and supporting percutaneous liver tumor ablation. Biocybernetics and Biomedical Engineering, 40(4), 1378–1390. https://doi.org/10.1016/j.bbe.2020.07.005
IF = 2,537
Danch-Wierzchowska, M., Borys, D., & Swierniak, A. (2020). FEM-based MRI deformation algorithm for breast deformation analysis. Biocybernetics and Biomedical Engineering, 40(3), 1304–1313. https://doi.org/10.1016/j.bbe.2020.07.009
IF = 2,537
2019
Spinczyk, D., Badura, A., Sperka, P., Stronczek, M., Pyciński, B., Juszczyk, J., Czajkowska, J., Biesok, M., Rudzki, M., Więcławek, W., Zarychta, P., Badura, P., Woloshuk, A., Żyłkowski, J., Rosiak, G., Konecki, D., Milczarek, K., Rowiński, O., & Piętka, E. (2019). Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation. Computerized Medical Imaging and Graphics, 78, 101664. https://doi.org/10.1016/j.compmedimag.2019.101664
IF = 3,75
Krasoń, A., Woloshuk, A., & Spinczyk, D. (2019). Segmentation of abdominal organs in computed tomography using a generalized statistical shape model. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 78, 101672. https://doi.org/10.1016/j.compmedimag.2019.101672
IF = 3,75
Spinczyk, D., Maćkowski, M., Kempa, W., & Rojewska, K. (2019). Factors influencing the process of learning mathematics among visually impaired and blind people. Computers in Biology and Medicine, 104, 1–9. https://doi.org/10.1016/j.compbiomed.2018.10.025
IF = 3,434
Więcławek, W., & Piętka, E. (2019). Granular filter in medical image noise suppression and edge preservation. Biocybernetics and Biomedical Engineering, 39(1), 1–16. https://doi.org/10.1016/j.bbe.2018.09.006
IF = 2,537
Kręcichwost, M., Miodońska, Z., Badura, P., Trzaskalik, J., & Moćko, N. (2019). Multi-channel acoustic analysis of phoneme /s/ mispronunciation for lateral sigmatism detection. Biocybernetics and Biomedical Engineering, 39(1), 246–255. https://doi.org/10.1016/j.bbe.2018.11.005
IF = 2,537
Spinczyk, D., Fabian, S., & Król, K. (2019). Selection of the respiratory phase in minimally invasive interventions for target registration error minimization. Surgical Oncology, 28, 31–35. https://doi.org/10.1016/j.suronc.2018.11.003
IF = 2,521
2018
Zarychta, P. (2018). A new approach to knee joint arthroplasty. Computerized Medical Imaging and Graphics, 65, 32–45. https://doi.org/10.1016/j.compmedimag.2017.07.002
IF = 3,298
Czajkowska, J., Pyciński, B., Juszczyk, J., & Piętka, E. (2018). Biopsy needle tracking technique in US images. Computerized Medical Imaging and Graphics, 65, 93–101. https://doi.org/10.1016/j.compmedimag.2017.07.001
IF = 3,298
Wieclawek, W. (2018). Information granules in image histogram analysis. Computerized Medical Imaging and Graphics, 65, 129–141. https://doi.org/10.1016/j.compmedimag.2017.05.003
IF = 3,298
Kawa, J., Stępień, P., Kapko, W., Niedziela, A., & Derejczyk, J. (2017). Leg Movement Tracking in Automatic Video-based One-leg Stance Evaluation. Computerized Medical Imaging and Graphics. https://doi.org/65.10.1016/j.compmedimag.2017.07.003
IF = 3,298
Badura, P. (2018). Virtual bacterium colony in 3D image segmentation. Computerized Medical Imaging and Graphics, 65, 152–166. https://doi.org/10.1016/j.compmedimag.2017.04.004
IF = 3,298
Miodońska, Z., Stępień, P., Badura, P., Choroba, B., Kawa, J., Derejczyk, J., & Piętka, E. (2018). Inertial data-based gait metrics correspondence to Tinetti Test and Berg Balance Scale assessments. Biomedical Signal Processing and Control, 44, 38–47. https://doi.org/10.1016/j.bspc.2018.03.012
IF = 2,943
Bieńkowska, M., & Mitas, A. W. (2018). Linear sound attenuation model for assessing external stimuli in prenatal period. Computers in Biology and Medicine, 100, 289–295. https://doi.org/10.1016/j.compbiomed.2017.10.013
IF = 2,286
Bugdol, M. D., Bugdol, M. N., Lipowicz, A. M., Mitas, A. W., Bieńkowska, M. J., & Wijata, A. M. (2018). Prediction of menarcheal status of girls using voice features. Computers in Biology and Medicine, 100, 296–304. https://doi.org/10.1016/j.compbiomed.2017.11.005
IF = 2,286
Wieclawek W. (2018). 3D marker-controlled watershed for kidney segmentation in clinical CT exams. Biomedical engineering online, 17(1), 26. https://doi.org/10.1186/s12938-018-0456-x
IF = 2,013
Spinczyk, D., & Krasoń, A. (2018). Automatic liver segmentation in computed tomography using general-purpose shape modeling methods. Biomedical engineering online, 17(1), 65. https://doi.org/10.1186/s12938-018-0504-6
IF = 2,013
Spinczyk, D., Nabrdalik, K., & Rojewska, K. (2018). Computer aided sentiment analysis of anorexia nervosa patients’ vocabulary. Biomedical engineering online, 17(1), 19. https://doi.org/10.1186/s12938-018-0451-2
IF = 2,013
2017
Spinczyk, D., & Fabian, S. (2017). Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach. Surgical Oncology, 26(4), 489–497. https://doi.org/10.1016/j.suronc.2017.09.005
IF = 2,558
Spinczyk, D., & Wideł, M. (2017). Surface area estimation for application of wound care. Injury, 48(3), 653–658. https://doi.org/10.1016/j.injury.2017.01.027
IF = 2,199
Kawa, J., Bednorz, A., Stępień, P., Derejczyk, J., & Bugdol, M. (2017). Spatial and dynamical handwriting analysis in mild cognitive impairment. Computers in biology and medicine, 82, 21–28. https://doi.org/10.1016/j.compbiomed.2017.01.004
IF = 2,115
Zarychta, P., Badura, P., & Piętka, E. (2017). Comparative analysis of selected classifiers in posterior cruciate ligaments computer aided diagnosis. Bulletin of the Polish Academy of Sciences Technical Sciences. 65. 63-70. https://doi.org/10.1515/bpasts-2017-0008
IF = 1,361
2016
Badura, P., & Więcławek, W. (2016). Calibrating level set approach by granular computing in computed tomography abdominal organs segmentation. Applied Soft Computing, 49, 887–900. https://doi.org/10.1016/j.asoc.2016.09.028
IF = 3,541
Pyciński, B., Czajkowska, J., Badura, P., Juszczyk, J., & Piętka, E. (2016). Time-Of-Flight Camera, Optical Tracker and Computed Tomography in Pairwise Data Registration. PLOS ONE. 11. e0159493. https://doi.org/10.1371/journal.pone.0159493
IF = 2,806
Badura, P., & Piętka, E. (2016). Automatic Berg Balance Scale assessment system based on accelerometric signals. Biomedical Signal Processing and Control, 24, 114–119. https://doi.org/10.1016/j.bspc.2015.10.005
IF = 2,214
Miodońska, Z., Bugdol, M. D., & Kręcichwost, M. (2016). Dynamic time warping in phoneme modeling for fast pronunciation error detection. Computers in Biology and Medicine, 69, 277–285. https://doi.org/10.1016/j.compbiomed.2015.12.004
IF = 1,836
2015
Bugdol, M. N., & Piętka, E. (2015). Mathematical model in left ventricle segmentation. Computers in Biology and Medicine, 57, 187–200. https://doi.org/10.1016/j.compbiomed.2014.12.009
IF = 1,521
Badura, P. (2015). Accelerometric signals in automatic balance assessment. Computerized Medical Imaging and Graphics, 46, 169–177. https://doi.org/10.1016/j.compmedimag.2015.05.007
IF = 1,385
Szwarc, P., Kawa, J., Rudzki, M., & Piętka, E. (2015). Automatic brain tumour detection and neovasculature assessment with multiseries MRI analysis. Computerized Medical Imaging and Graphics, 46, 178–190. https://doi.org/10.1016/j.compmedimag.2015.06.002
IF = 1,385
Zarychta P. (2015). Features extraction in anterior and posterior cruciate ligaments analysis. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 46 Pt 2, 108–120. https://doi.org/10.1016/j.compmedimag.2015.03.001
IF = 1,385
Juszczyk, J., Piętka, E., & Pyciński, B. (2015). Granular computing in model based abdominal organs detection. Computerized Medical Imaging and Graphics, 46, 121–130. https://doi.org/10.1016/j.compmedimag.2015.03.002
IF = 1,385
Czajkowska, J., Feinen, C., Grzegorzek, M., Raspe, M., & Wickenhöfer, R. (2015). Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. Computerized Medical Imaging and Graphics, 46, 142–152. https://doi.org/10.1016/j.compmedimag.2015.05.001
IF = 1,385
Więcławek, W., & Piętka, E. (2015). Watershed based intelligent scissors. Computerized Medical Imaging and Graphics, 43, 122–129. https://doi.org/10.1016/j.compmedimag.2015.01.003
IF = 1,385
2014
Bugdol, M. D., & Mitas, A. W. (2014). Multimodal biometric system combining ECG and sound signals. Pattern Recognition Letters, 38, 107–112. https://doi.org/10.1016/j.patrec.2013.11.014
IF = 1,551
Badura, P., & Piętka, E. (2014). Soft computing approach to 3D lung nodule segmentation in CT. Computers in biology and medicine, 53, 230–243. https://doi.org/10.1016/j.compbiomed.2014.08.005
IF = 1,24
Czajkowska, J., & Piętka, E. (2014). A new parametric model-based technique in bone tumour analysis. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 38(5), 315–325. https://doi.org/10.1016/j.compmedimag.2014.04.002
IF = 1,218
2011
Piętka, E., Kawa, J., Spinczyk, D., Badura, P., Więcławek, W., Czajkowska, J., & Rudzki, M. (2011). Role of radiologists in CAD life-cycle. European Journal of Radiology, 78(2), 225–233. https://doi.org/10.1016/j.ejrad.2009.08.015
IF = 2,606
