Ewa Pietka

发表

Comparative analysis of selected classifiers in posterior cruciate ligaments computer aided diagnosis

Piotr Zarychta, Pawel Badura, Ewa Pietka, 2017 .

Integration of computer assisted bone age assessment with clinical PACS.

Fei Cao, Ewa Pietka, Sylwia Pospiech-Kurkowska, 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Granular filter in medical image noise suppression and edge preservation

Ewa Pietka, Wojciech Wieclawek, 2019 .

Time Regarded Method of 3D Ultrasound Reconstruction

Ewa Pietka, Jan Juszczyk, Marta Galinska, 2018, ITIB.

ToF-Data-Based Modelling of Skin Surface Deformation

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2016, ITIB.

CAD Station for 3-D Semi-Automated Segmentation of Bone Lesions in MR Images

Ewa Pietka, E. Pietka, 2011 .

Acceleration trajectory analysis in remote gait monitoring

Pawel Badura, Ewa Pietka, Stanislaw Franiel, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Computer-Assisted Bone Age Assessment: Graphical User Interface for Image Processing and Comparison

H. K. Huang, Fei Cao, Ewa Pietka, 2004, Journal of Digital Imaging.

An Automatic Method of Chronic Wounds Segmentation in Multimodal Images

Ewa Pietka, Joanna Czajkowska, Michal Krecichwost, 2019, ITIB.

Remotely accessible e-atlas for bone age assessment

Ewa Pietka, Arkadiusz Gertych, Krzysztof Witko, 2005 .

Granular computing in model based abdominal organs detection

Ewa Pietka, Jan Juszczyk, Bartlomiej Pycinski, 2015, Comput. Medical Imaging Graph..

Patient Specific Phantom in bimodal image navigation system

Ewa Pietka, Jan Juszczyk, Bartlomiej Pycinski, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Computerized bone analysis of hand radiographs

Michael F. McNitt-Gray, Ewa Pietka, Theodore R. Hall, 1992, Medical Imaging.

Mathematical model in left ventricle segmentation

Ewa Pietka, Monika Bugdol, 2015, Comput. Biol. Medicine.

Initial clinical evaluation of image fusion based on rigid registration and supporting percutaneous liver tumor ablation

Ewa Pietka, Dominik Spinczyk, Marcin Stronczek, 2020 .

Editorial: Special issue on advances in biomedical image processing

Ewa Pietka, Arkadiusz Gertych, E. Pietka, 2018, Comput. Medical Imaging Graph..

Proceedings of the Third international conference on Information Technologies in Biomedicine

Ewa Pietka, Jacek Kawa, 2012 .

Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction

H. K. Huang, Fei Cao, Ewa Pietka, 2001, IEEE Transactions on Medical Imaging.

Computer Aided Diagnosis of Atopic Dermatitis

Ewa Pietka, Joanna Czajkowska, Szymon Korzekwa, 2019, Comput. Medical Imaging Graph..

Image database for digital hand atlas

Fei Cao, Ewa Pietka, Arkadiusz Gertych, 2003, SPIE Medical Imaging.

Inertial data-based gait metrics correspondence to Tinetti Test and Berg Balance Scale assessments

Pawel Badura, Ewa Pietka, Zuzanna Miodonska, 2018, Biomed. Signal Process. Control..

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance

Marcin Grzegorzek, Ewa Pietka, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Image standardization in PACS

Ewa Pietka, 2000 .

Computer aided diagnosis workstation for brain tumor assessment

Ewa Pietka, Pawel Szwarc, Marcin Rudzki, 2015, 2015 22nd International Conference Mixed Design of Integrated Circuits & Systems (MIXDES).

Orientation correction for chest images

H. K. Huang, Ewa Pietka, H. K. Huang, 1992, Journal of Digital Imaging.

Fuzzy Connectedness in Segmentation of Medical Images - A Look at the Pros and Cons

Pawel Badura, Ewa Pietka, Joanna Czajkowska, 2011, IJCCI.

Automatic brain tumour detection and neovasculature assessment with multiseries MRI analysis

Ewa Pietka, Marcin Rudzki, Jacek Kawa, 2015, Comput. Medical Imaging Graph..

Semi-automatic Seed Points Selection in Fuzzy Connectedness Approach to Image Segmentation

Pawel Badura, Ewa Pietka, 2008, Computer Recognition Systems 2.

Kernelized Fuzzy C-Means Method and Gaussian Mixture Model in Unsupervised Cascade Clustering

Ewa Pietka, Joanna Czajkowska, Monika Bugdol, 2012, ITIB.

Diagnostic workstation for digital hand atlas in bone age assessment

H. K. Huang, Fei Cao, Ewa Pietka, 1998, Medical Imaging.

Soft computing approach to 3D lung nodule segmentation in CT

Pawel Badura, Ewa Pietka, E. Pietka, 2014, Comput. Biol. Medicine.

Image Guided Core Needle Biopsy of the Breast

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2018, ITIB.

Information Technologies in Biomedicine, Volume 4

Ewa Pietka, Wojciech Wieclawek, Jacek Kawa, 2014 .

Biopsy Needle and Tissue Deformations Detection in Elastography Supported Ultrasound

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2016, ITIB.

Digital hand atlas for bone age assessment of children: an application of PACS database

H. K. Huang, Fei Cao, Ewa Pietka, 1999, Medical Imaging.

Lung segmentation in digital radiographs

Ewa Pietka, E. Pietka, 1994, Journal of Digital Imaging.

Feature extraction in carpal-bone analysis

H. K. Huang, Ewa Pietka, Lotfi Kaabi, 1993, IEEE Trans. Medical Imaging.

Fuzzy Clustering in Segmentation of Abdominal Structures Based on CT Studies

Ewa Pietka, Wojciech Wieclawek, E. Pietka, 2008, Information Technologies in Biomedicine.

4D Segmentation of Ewing’s Sarcoma in MR Images

Pawel Badura, Ewa Pietka, Joanna Czajkowska, 2010 .

Digital hand atlas and computer-aided bone age assessment via the Web

H. K. Huang, Fei Cao, Ewa Pietka, 1999, Medical Imaging.

Digital hand atlas for web-based bone age assessment: system design and implementation

H. K. Huang, Fei Cao, Ewa Pietka, 2000, Medical Imaging.

Infrared and Visible Image Fusion Objective Evaluation Method

Ewa Pietka, Jan Juszczyk, Daniel Ledwon, 2019, ITIB.

Feature extraction in computerized approach to the ecg analysis

Ewa Pietka, E. Pietka, 1991, Pattern Recognit..

Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment

Ewa Pietka, Arkadiusz Gertych, Brent J. Liu, 2006, Pattern Analysis and Applications.

Inertial sensor location analysis in automatic balance assessment

Pawel Badura, Ewa Pietka, 2015, 2015 22nd International Conference Mixed Design of Integrated Circuits & Systems (MIXDES).

Multiseries MR Data in Brain Tumours Segmentation

Barbara Bobek-Billewicz, Ewa Pietka, Jacek Kawa, 2010 .

Open architecture computer‐aided diagnosis system

Pawel Badura, Ewa Pietka, Dominik Spinczyk, 2010, Expert Syst. J. Knowl. Eng..

Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs

H. K. Huang, Fei Cao, Ewa Pietka, 2001, Journal of Digital Imaging.

Evaluation of Methods for Volume Estimation of Chronic Wounds

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2019, ITIB.

CAD of Sigmatism Using Neural Networks

Pawel Badura, Ewa Pietka, Zuzanna Miodonska, 2018, ITIB.

Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction

Ewa Pietka, Joanna Czajkowska, Jakub Majewski, 2021, IEEE Access.

Novel Geometric Technique of Ultrasound Probe Calibration

Ewa Pietka, Dominik Spinczyk, Michal Krecichwost, 2018, ITIB.

Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest

H. K. Huang, Ewa Pietka, Arkadiusz Gertych, 2005, CORES.

Pre- and Postprocessing Stages in Fuzzy Connectedness-Based Lung Nodule CAD

Pawel Badura, Ewa Pietka, 2008, Information Technologies in Biomedicine.

A new parametric model-based technique in bone tumour analysis

Ewa Pietka, Joanna Czajkowska, E. Pietka, 2014, Comput. Medical Imaging Graph..

Automatic Generation of 3D Lung Model

Ewa Pietka, Dominik Spinczyk, 2008, Computer Recognition Systems 2.

Computer-assisted bone age assessment - database adjustment

Ewa Pietka, E. Pietka, 2003, CARS.

Biopsy needle tracking technique in US images

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2018, Comput. Medical Imaging Graph..

3D Fuzzy Liver Tumor Segmentation

Pawel Badura, Ewa Pietka, E. Pietka, 2012, ITIB.

Large-Scale Hospital Information System in clinical practice

Ewa Pietka, 2003, CARS.

Retina Analysis in Optical Coherence Tomography Images

Ewa Pietka, Wojciech Wieclawek, E. Pietka, 2014 .

Foreword to the special issue on Information Technologies in Biomedicine

Ewa Pietka, Arkadiusz Gertych, 2016, Comput. Biol. Medicine.

Informatics infrastructure of CAD system.

Ewa Pietka, Arkadiusz Gertych, Krzysztof Witko, 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Image Navigation in Minimally Invasive Surgery

Ewa Pietka, Jan Juszczyk, Józef Dzielicki, 2014 .

White Matter Segmentation from MR Images in Subjects with Brain Tumours

Ewa Pietka, Pawel Szwarc, Jacek Kawa, 2012, ITIB.

Time-Of-Flight Camera, Optical Tracker and Computed Tomography in Pairwise Data Registration

Pawel Badura, Ewa Pietka, Joanna Czajkowska, 2016, PloS one.

Data mining for average images in a digital hand atlas

Fei Cao, Bo Liu, Ewa Pietka, 2004, SPIE Medical Imaging.

Building a digital atlas from a normal hand-image database

Fei Cao, Ewa Pietka, Vicente Gilsanz, 2004, SPIE Medical Imaging.

Theory of fuzzy sets in edge location of the posterior cruciate ligament region

Ewa Pietka, Piotr Zarychta, Anna Zarychta-Bargieła, 2006 .

Information Technologies in Medicine - 5th International Conference, ITIB, 2016 Kamień Śląski, Poland, June 20-22, 2016 Proceedings, Volume 1

Pawel Badura, Ewa Pietka, Wojciech Wieclawek, 2016, ITIB.

Development of a Multimodal Image Registration and Fusion Technique for Visualising and Monitoring Chronic Skin Wounds

Ewa Pietka, Dominik Spinczyk, Michal Krecichwost, 2018, ITIB.

Wyposażenie laboratoryjne Katedry Informatyki i Aparatury Medycznej Wydziału Inżynierii Biomedycznej w kontekście postaw i oczekiwań studentów

Pawel Badura, Ewa Pietka, Piotr Zarychta, 2012 .

Watershed based intelligent scissors

Ewa Pietka, Wojciech Wieclawek, E. Pietka, 2015, Comput. Medical Imaging Graph..

HoG feature based detection of tissue deformations in ultrasound data

Ewa Pietka, Joanna Czajkowska, Bartlomiej Pycinski, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic Berg Balance Scale assessment system based on accelerometric signals

Pawel Badura, Ewa Pietka, 2016, Biomed. Signal Process. Control..

Information Technologies in Biomedicine, Volume 3

Ewa Pietka, Wojciech Wieclawek, Jacek Kawa, 2014 .

Preprocessing functions for computed radiography images in a PACS environment

Michael F. McNitt-Gray, H. K. Huang, Ewa Pietka, 1992, Medical Imaging.

Information Technologies in Medicine - 5th International Conference, ITIB, 2016 Kamień Śląski, Poland, June 20-22, 2016 Proceedings, Volume 1

Pawel Badura, Ewa Pietka, Wojciech Wieclawek, 2016, ITIB.

Automated Fuzzy-Connectedness-Based Segmentation in Extraction of Multiple Sclerosis Lesions

Ewa Pietka, Jacek Kawa, 2008, Information Technologies in Biomedicine.

Computer Aided Detection of High-Grade Astrocytomas in MR Images

Ewa Pietka, 2011 .