@ARTICLE{
author={Lin Yifei,Li Xingyu,Milovanovic Jelena RA,Todorovic-Rakovic Natasa,Vranes Velicko,Vujasinovic Tijana,Kanjer Ksenija,Radulovic Marko},
year={2025},
title={Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology},
journal={MICROSCOPY AND MICROANALYSIS},
volume={31},
number={3},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Radulovic Marko,Li Xingyu,Djuricic Goran J,Milovanovic Jelena RA,Todorovic-Rakovic Natasa,Vujasinovic Tijana,Banovac Dusan,Kanjer Ksenija},
year={2024},
title={Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer},
journal={MICROSCOPY AND MICROANALYSIS},
volume={30},
number={4},
pages={751-758},
document_type={Article},
} 

@ARTICLE{
author={Vranes Velicko,Rajkovic Nemanja,Li Xingyu,Plataniotis Konstantinos N,Todorovic-Rakovic Natasa,Milovanovic Jelena RA,Kanjer Ksenija,Radulovic Marko,Milosevic Nebojsa T},
year={2019},
title={Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the Prognosis of Distant Metastasis Risk},
journal={CANCERS},
volume={11},
number={10},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Li Xingyu,Radulovic Marko,Kanjer Ksenija,Plataniotis Konstantinos N},
year={2019},
title={Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder},
journal={IEEE ACCESS},
volume={7},
number={},
pages={36433-36445},
document_type={Article},
} 

@ARTICLE{
author={Rajkovic Nemanja,Li Xingyu,Plataniotis Konstantinos N,Kanjer Ksenija,Radulovic Marko,Milosevic Nebojsa T},
year={2018},
title={The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis},
journal={FRONTIERS IN ONCOLOGY},
volume={8},
number={},
pages={-},
document_type={Article},
}