Tomasz Markiewicz

发表

Texture and Mathematical Morphology for Hot-Spot Detection in Whole Slide Images of Meningiomas and Oligodendrogliomas

Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, 2015, CAIP.

Automatic Detection of Cells in FISH Images Using Map of Colors and Three-Track Segmentation

Tomasz Markiewicz, Tomasz Les, Janusz Patera, 2017 .

Combining texture analysis and deep learning in renal tumour classification task

Miroslaw Dziekiewicz, Malgorzata Lorent, Tomasz Markiewicz, 2020, 2020 IEEE 21st International Conference on Computational Problems of Electrical Engineering (CPEE).

Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition

Stanislaw Osowski, Tomasz Markiewicz, R. Siroic, 2009, IEEE Transactions on Instrumentation and Measurement.

Automatic Method for Vessel Detection in Virtual Slide Images of Placental Villi

Tomasz Markiewicz, R. Koktysz, Żaneta Swiderska-Chadaj, 2017 .

Support Vector Machine for Recognition of Bio-products in Gasoline

Stanislaw Osowski, Tomasz Markiewicz, Kazimierz Brudzewski, 2005, ICANN.

Accuracy of a remote quantitative image analysis in the whole slide images

Tomasz Markiewicz, Wojciech Kozłowski, Janina Słodkowska, 2011, Diagnostic pathology.

Alternative colour space construction of the stain reaction in FISH image analysis for quantification of the HER2 gene amplification

Tomasz Markiewicz, Marzena Cichowicz, 2012 .

Comparison of single and sequential thresholding applied to segmentation of a cell cluster at Ki-67 staining

Tomasz Markiewicz, 2011 .

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides

Malgorzata Lorent, Tomasz Markiewicz, Arkadiusz Gertych, 2019, ITIB.

A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma

Karolina Nurzynska, Tomasz Markiewicz, Arkadiusz Gertych, 2020, Medical Imaging: Digital Pathology.

White Blood Cell Automatic Counting System Based on Support Vector Machine

Stanislaw Osowski, Tomasz Markiewicz, Bozena Marianska, 2007, ICANNGA.

Classification of milk by means of an electronic nose and SVM neural network

Tomasz Markiewicz, K. Brudzewski, Stanislaw Osowski, 2004 .

Automatic Evaluation System of FISH Images in Breast Cancer

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2014, ICISP.

Cell segmentation in desmoglein-3 stained specimen microscopic images using GVF and watershed algorithm

Tomasz Markiewicz, Janina Slodkowska, Marek Wdowiak, 2016, 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE).

Support Vector Machine for Recognition of White Blood Cells of Leukaemia

Tomasz Markiewicz, Stanislaw Osowski, 2007 .

Data mining techniques for feature selection in blood cell recognition

Stanislaw Osowski, Tomasz Markiewicz, S. Osowski, 2006, ESANN.

Automatic cell segmentation using L2 distance function

Tomasz Markiewicz, Janusz Patera, Tomasz Leś, 2017, 2017 18th International Conference on Computational Problems of Electrical Engineering (CPEE).

Computer approach to recognition of Fuhrman grade of cells in clear-cell renal cell carcinoma.

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2014, Analytical and quantitative cytopathology and histopathology.

Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model

Malgorzata Lorent, Tomasz Markiewicz, Gloria Bueno, 2018 .

Computerized System for Quantitative Assessment of Atherosclerotic Plaques in the Femoral and Iliac Arteries Visualized by Multislice Computed Tomography

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2015, IEEE Transactions on Biomedical Engineering.

Three-Dimensional Volumetric Renal Reconstruction Based on Geometrical Coefficients

Tomasz Les, Miroslaw Dziekiewicz, Malgorzata Lorent, 2020, MIE.

A Flood-Fill-Based Technique for Boundary Closure of Kidney Contours in CT Images

Malgorzata Lorent, Tomasz Markiewicz, Tomasz Les, 2018 .

Gradients and Active Contour Models for Localization of Cell Membrane in HER2/neu Images

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2015, CAIP.

Decision Based Algorithm for Gene Markers Detection in the ISH Images

Tomasz Markiewicz, Wojciech Kozlowski, Tomasz Les, 2017 .

Dots Detection in HER2 FISH Images Based on Alternative Color Spaces

Tomasz Markiewicz, Wojciech Kozlowski, Tomasz Les, 2016, MIUA.

Analysis of medical data using dimensionality reduction techniques

Krzysztof Siwek, Tomasz Markiewicz, Stanislaw Osowski, 2013 .

Influence of intake system modification on the formula student engine power.

Tomasz Markiewicz, Łukasz Kaczmarczyk, Paweł Fabiś, 2017 .

Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images

Stanislaw Osowski, Zaneta Swiderska, Tomasz Markiewicz, 2015, ISMM.

Active Contour Method for Segmentation of the Glands in Colon Histology Images

Tomasz Markiewicz, Szczepan Cierniak, Robert Koktysz, 2018, 19th International Conference Computational Problems of Electrical Engineering.

Automatic recognition of the kidney in CT images

Miroslaw Dziekiewicz, Malgorzata Lorent, Tomasz Markiewicz, 2018, 19th International Conference Computational Problems of Electrical Engineering.

Novel segmentation algorithm for identification of cell membrane staining in HER2 images

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2016, Pattern Recognit. Lett..

Feature generation for the cell image recognition of myelogenous leukemia

Stanislaw Osowski, Tomasz Markiewicz, Leszek Moszczynski, 2004, 2004 12th European Signal Processing Conference.

Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images

Tomasz Markiewicz, Wojciech Kozlowski, Zaneta Swiderska-Chadaj, 2016, ITIB.

Color standardization for the immunohistochemically stained tissue section images

Lukasz Roszkowiak, Tomasz Markiewicz, Jakub Zak, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Local Binary Patterns and Unser Texture Descriptions to the Fold Detection on the Whole Slide Images of Meningiomas and Oligodendrogliomas

Tomasz Markiewicz, Janina Słodkowska, Bartłomiej Grala, 2016 .

Support Vector MachineandGenetic Algorithm forEfricient BloodCellRecognition

Krzysztof Siwek, Tomasz Markiewicz, Stanislaw Osowski, 2007 .

Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas

Malgorzata Lorent, Lukasz Roszkowiak, Zaneta Swiderska, 2015, Analytical cellular pathology.

Application of SVM for cell recognition in BCC skin pathology

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2009, ESANN.

MIAP – Web-based platform for the computer analysis of microscopic images to support the pathological diagnosis

Malgorzata Lorent, Lukasz Roszkowiak, Tomasz Markiewicz, 2016 .

NEURAL METHODS OF CALIBRATION OF SENSORS FOR GAS MEASUREMENTS AND AROMA IDENTIFICATION SYSTEM

Tomasz Markiewicz, K. Brudzewski, Stanislaw Osowski, 2008 .

Fusion of FISH image analysis methods of HER2 status determination in breast cancer

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2016, Expert Syst. Appl..

Automatic Recognition oftheBloodCells of Myelogenous Leukemia UsingSVM

Tomasz Markiewicz, Stanislaw Osowski, Bozena Marianska, 2005 .

Image processing methods for the structural detection and gradation of placental villi

Tomasz Markiewicz, Zaneta Swiderska-Chadaj, Szczepan Cierniak, 2017, Comput. Biol. Medicine.

Nucleolus detection in the Fuhrman grading system for application in CCRC

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2014, Biomedizinische Technik. Biomedical engineering.

Image processing for accurate cell recognition and count on histologic slides.

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2006, Analytical and quantitative cytology and histology.

Using MATLAB software with Tomcat server and Java platform for remote image analysis in pathology

Tomasz Markiewicz, 2011, Diagnostic pathology.

Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative Study

Stanislaw Osowski, Tomasz Markiewicz, Tran Haoi Linh, 2005, ICANN.

Semi-Automatic And Automatic Ki-67 Index Examination In Whole Slide Images Of Meningiomas

Malgorzata Lorent, Tomasz Markiewicz, Wojciech Kozlowski, 2016 .

Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia

Stanislaw Osowski, Tomasz Markiewicz, Tomasz Staroszczyk, 2012, MLDM.

Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas

Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Classification of gasoline with supplement of bio-products by means of an electronic nose and SVM neural network

Stanislaw Osowski, Tomasz Markiewicz, K. Brudzewski, 2006 .

Textural and deep learning methods in recognition of renal cancer types based on CT images

Malgorzata Lorent, Tomasz Markiewicz, Aleksandra Maria Osowska-Kurczab, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides

Malgorzata Lorent, Tomasz Markiewicz, Bartlomiej Grala, 2017, MIUA.

Automatic cell recognition in immunohistochemical gastritis stains using sequential thresholding and SVM network

Tomasz Markiewicz, Wojciech Kozlowski, Robert Koktysz, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic quantification of vessels in hemorrhoids whole slide images

Tomasz Markiewicz, Zaneta Swiderska-Chadaj, Szczepan Cierniak, 2016, 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE).

Support vector machine-based expert system for reliable heartbeat recognition

Stanislaw Osowski, Tomasz Markiewicz, Tran Hoai Linh, 2004, IEEE Transactions on Biomedical Engineering.

Computer-assisted Fuhrman grading system for the analysis of clear-cell renal carcinoma: a pilot study

Tomasz Markiewicz, Wojciech Kozlowski, Michal Kruk, 2013 .

Recognition and classification system of arrhythmia using ensemble of neural networks

Tomasz Markiewicz, Stanislaw Osowski, L. Tran Hoai, 2008 .

Automatic reconstruction of overlapped cells in breast cancer FISH images

Stanislaw Osowski, Tomasz Les, Tomasz Markiewicz, 2019, Expert Syst. Appl..

Adaptive two-way sweeping method to 3D kidney reconstruction

Malgorzata Lorent, Tomasz Markiewicz, Tomasz Les, 2021, Biomed. Signal Process. Control..

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues

Tomasz Markiewicz, Arkadiusz Gertych, Zaneta Swiderska-Chadaj, 2021, Comput. Medical Imaging Graph..

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

Tomasz Markiewicz, Arkadiusz Gertych, Nathan Ing, 2019, Scientific Reports.

The influence of the microscope lamp filament colour temperature on the process of digital images of histological slides acquisition standardization

Lukasz Roszkowiak, Tomasz Markiewicz, Wojciech Kozlowski, 2014, Diagnostic Pathology.

Computer system for cell counting in selected brain tumors at Ki-67 immunohistochemical staining.

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2010, Analytical and quantitative cytology and histology.

Myelogenous Leukemia Cell Image Preprocessing for Feature Generation

Tomasz Markiewicz, aw Osowski, Leszek Moszczy, .

Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma

Stanislaw Osowski, Tomasz Markiewicz, R. Koktysz, 2017 .

Chiral behavior of TGS gas sensors: Discrimination of the enantiomers by the electronic nose

Stanislaw Osowski, Tomasz Markiewicz, K. Brudzewski, 2007 .

Analysis of Features for Blood Cell

Tomasz Markiewicz, 2004 .

Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection

Malgorzata Lorent, Tomasz Markiewicz, Zaneta Swiderska-Chadaj, 2016, Diagnostic Pathology.

Comparative analysis of methods for accurate recognition of cells through nuclei staining of Ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer.

Stanislaw Osowski, Tomasz Markiewicz, Wojciech Kozlowski, 2009, Analytical and quantitative cytology and histology.