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Publikacje

Spis najwyżej punktowanych publikacji powstałych w ostatnich latach

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 = 13,828
MEiN: 200 pkt

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 = 7,422
MEiN: 100 pkt

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 = 7,422
MEiN: 100 pkt

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 = 7,422
MEiN: 100 pkt

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 = 5,738
MEiN: 100 pkt

Kręcichwost M., Moćko N., Badura P. (2021) Automated detection of sigmatism using deep learning applied to multichannel speech signal. Biomedical Signal Processing and Control, 68, 102612. https://doi.org/10.1016/j.bspc.2021.102612

IF = 5,076
MEiN: 140 pkt

Nawrat-Szołtysik, A., Miodońska, Z., Piejko, L., Szołtys, B., Błaszczyszyn, M., Matyja, B., Zarzeczny, R., Zając-Gawlak, I., Kucio, E., & Polak, A. (2021) Assessment of quality of life and pain severity in older men with osteoporosis: cross-sectional study. International Journal of Environmental Research and Public Health, 18(21), 11276. https://doi.org/10.3390/ijerph182111276

IF = 4,614
MEiN: 140 pkt

Seiffert, P., Konka, A., Kasperczyk, J., Kawa, J., Lejawa, M., Maślanka-Seiffert, B., Zembala-John, J., Bugdol, M., Romanik, M., Bułdak, R., Marcisz, C., Derejczyk, J., & Religa, D. (2021) Immunogenicity of the BNT162b2 mRNA COVID-19 vaccine in older residents of a long-term care facility: relation with age, frailty and prior infection status. Biogerontology , 23, 53–64. https://doi.org/10.1007/s10522-021-09944-9

IF = 4,284
MEiN: 100 pkt

Czajkowska, J., Badura, P., Korzekwa, S., & Płatkowska-Szczerek, A. (2021) Deep learning approach to skin layers segmentation in inflammatory dermatoses. Ultrasonics, 114, 1–9. http://doi.org/10.1016/j.ultras.2021.106412

IF = 4,062
MEiN: 140 pkt

Ledwoń, D., Danch-Wierzchowska, M., Bugdol, M., Bibrowicz, K., Szurmik, T., Mysliwiec, A., & Mitas, A.W. (2021) Real-Time Back Surface Landmark Determination Using a Time-of-Flight Camera. Sensors, 21, 6425. https://doi.org/10.3390/s21196425

IF = 3,847
MEiN: 100 pkt

Badura, A., Masłowska, A., Myśliwiec, A. & Piętka, E. (2021). Multimodal Signal Analysis for Pain Recognition in Physiotherapy using Wavelet Scattering Transform. Sensors, 21 (4): 1311. https://doi.org/10.3390/s21041311

IF = 3,847
MEiN: 100 pkt

Romaniszyn-Kania P, Pollak A, Bugdol MD, Bugdol MN, Kania D, Mańka A, Danch-Wierzchowska M, & Mitas AW. (2021). Affective state during physiotherapy and its analysis using machine learning methods. Sensors, 21(14), 4853. https://doi.org/10.3390/s21144853

IF = 3,847
MEiN: 100 pkt

Czajkowska, J., Badura, P., Korzekwa, S., Płatkowska-Szczerek, A., & Słowińska, M. (2021). Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation. Sensors, 21(17), 5846. https://doi.org/10.3390/s21175846

IF = 3,847
MEiN: 100 pkt

Juszczyk J., Wijata A., Czajkowska J., Kręcichwost M., Rudzki M., Biesok M., Pyciński B., Majewski J., Kostecki J., & Piętka E. (2021) Wound 3D geometrical feature estimation using Poisson reconstruction. IEEE Access, 9, 7894–7907. https://doi.org/10.1109/ACCESS.2020.3035125

IF = 3,476
MEiN: 100 pkt

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 = 3,16
MEiN: 40 pkt

Żyłkowski, J., Rosiak, G., Rowiński, O., & Spinczyk, D. (2021) Age- and gender-dependent variability in the geometry of middle cerebral artery bifurcations. Journal of Anatomy, 238(3), 765–784. http://doi.org/10.1111/joa.13338

IF = 2,921
MEiN: 140 pkt

Wijata A., Andrzejewski A., & Pyciński B. (2021). An automatic biopsy needle detection and segmentation on ultrasound images using a convolutional neural network. Ultrasonic Imaging, 43(5), 262–272. https://doi.org/10.1177/01617346211025267

IF = 2
MEiN: 70 pkt

Doroniewicz I., Ledwoń D., Danch-Wierzchowska M., Bugdol M., Kieszczyńska K., Affanasowicz A., Matyja M., Michnik R., Mitas A.W., Myśliwiec A. (2021) Temporal and spatial variability of the Fidgety Movement descriptors and their relation to head position in automized General Movement Assessment. Acta of Bioengineering and Biomechanics, 23, 3. https://doi.org/10.37190/ABB-01839-2021-02

IF = 1,238
MEiN: 100 pkt

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 = 4,79
MEiN: 100 pkt

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 = 4,79
MEiN: 100 pkt

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 = 4,314
MEiN: 100 pkt

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 = 4,314
MEiN: 100 pkt

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 = 3,576
MEiN: 100 pkt

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 = 3,576
MEiN: 100 pkt

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 = 3,39
MEiN: 100 pkt

Kręcichowst, M., Miodońska, Z., Trzaskalik, J., & Badura, P. (2020). Multichannel Speech Acquisition and Analysis for Computer-Aided Sigmatism Diagnosis in Children. IEEE Access, 8, pp. 98647-98658. https://doi.org/10.1109/ACCESS.2020.2996413

IF = 3,39
MEiN: 100 pkt

Nawrat-Szołtysik, A., Miodońska, Z., Zarzeczny, R., Zając-Gawlak, I., Opara, J., Grzesińska, A., Matyja, B., & Polak, A. (2020). Osteoporosis in Polish Older Women: Risk Factors and Osteoporotic Fractures: A Cross-Sectional Study. International journal of environmental research and public health, 17(10), 3725. https://doi.org/10.3390/ijerph17103725

IF = 3,39
MEiN: 70 pkt

Sage, A., & Badura, P. (2020). Intracranial Hemorrhage Detection in Head CT Using Double-Branch Convolutional Neural Network, Support Vector Machine, and Random Forest. Applied Sciences, 10(21), 7577. https://doi.org/10.3390/app10217577

IF = 2,679
MEiN: 70 pkt

Loh, H. W., Ooi, C. P., Vicnesh, J., Oh, S. L., Faust, O., Gertych, A., & Acharya, U. R. (2020). Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020). Applied Sciences, 10(24), 8963. https://doi.org/10.3390/app10248963

IF = 2,679
MEiN: 70 pkt

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
MEiN: 100 pkt

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
MEiN: 100 pkt

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
MEiN: 100 pkt

Nawrat-Szołtysik, A., Miodońska, Z., Opara, J., Polak, A., Matyja, B., & Małecki, A. (2019). Effect of Physical Activity on the Quality of Life in Osteoporotic Females Living in Residential Facilities: A Randomized Controlled Trial. Journal of geriatric physical therapy, 42(2), 98–104. https://doi.org/10.1519/JPT.0000000000000154

IF = 3,396
MEiN: 70 pkt

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
MEiN: 100 pkt

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
MEiN: 100 pkt

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
MEiN: 100 pkt

Spinczyk, D., Bas, M. (2019). Anisotropic non-rigid Iterative Closest Point Algorithm for respiratory motion abdominal surface matching. BioMed Eng OnLine, 18, 25. https://doi.org/10.1186/s12938-019-0643-4

IF = 2,059
MEiN: 70 pkt

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

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