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Publikacje

Spis najwyżej punktowanych publikacji powstałych w ostatnich latach

Spis wybranych, najwyżej punktowanych, publikacji powstałych na przestrzeni ostatnich lat.

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 = 8,545
MEiN: 200 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 = 6,244
MEiN: 100 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 = 4,79
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 = 4,79
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 = 4,79
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 = 3,88
MEiN: 140 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 = 3,576
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 = 3,576
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 = 3,576
MEiN: 100 pkt.

Czajkowska J., Badura P., Korzekwa Sz., Płatkowska-Szczerek A. (2021) Deep Learning Approach to Skin Layers Segmentation in Inflammatory Dermatoses. Ultrasonics, 114, 106412. https://doi.org/10.1016/j.ultras.2021.106412

IF = 2,89
MEiN: 140 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 = 2,645
MEiN: 40 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 = 1,578
MEiN: 70 pkt.

Doroniewicz I., Ledwoń D., Danch-Wierzchowska M., Bugdol M., Kieszczyńska K., Affanasowicz A., Matyja M., Michnik R., Mitas M.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 = 1,073
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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