Amira Šerifović Trbalić
A5014115022- Advanced X-ray and CT Imaging
- Brain Tumor Detection and Classification
- Patient Dignity and Privacy
- Medical Imaging Techniques and Applications
- Ethics in Clinical Research
- Radiation Dose and Imaging
- Soft Robotics and Applications
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Neuroethics, Human Enhancement, Biomedical Innovations
- Image Retrieval and Classification Techniques
- Glioma Diagnosis and Treatment
- AI in cancer detection
- EEG and Brain-Computer Interfaces
- Advanced Data Compression Techniques
- Medical Image Segmentation Techniques
- Electrical and Bioimpedance Tomography
- MRI in cancer diagnosis
University of Tuzla
2019-2024
Software (Spain)
2019
Algebra University College
2019
Bavarian Research Institute for Digital Transformation
2019
State of The Art
2014
Zimmer Biomet (Netherlands)
2014
Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel parameters have been proposed to diagnose CKD among them total volume (TKV) which recently qualified as biomarker. Volume estimation MRI is based on image segmentation and/or its compartments. Beyond supports also quantification other MR perfusion or filtration. The aim present article discuss recent existing literature techniques...
An accurate and efficient computer-aided mammography diagnosis system plays an important role as a second opinion to assist radiologists. Finding robust for classification of the abnormalities in mammograms malignant or benign still remains challenge digital mammography. In this paper, fully autonomous is presented it consists three stages. The input Regions Interest (ROIs) are obtained using Otsu's N thresholding further subjected number preprocessing After stage, from ROIs, group 32...
Having the means to share research data openly is essential modern science. For human research, a key aspect in this endeavour obtaining consent from participants, not just take part study, which basic ethical principle, but also their with scientific community. To ensure that participants’ privacy respected, national and/or supranational regulations and laws are place. It is, however, always clear researchers what implications of those are, nor how comply them. The Open Brain Consent...
The presence of metal in the scanning field a CT scanner can create so-called artifacts reconstructed images. These streak obscure information about anatomical structures, making it difficult for radiologists to correctly interpret images or computer programs analyze them. Several methods have been proposed literature based on reconstruction missing/corrupted projection data using raw directly from tomographs. This paper proposes an image-based strategy consisting image registration and...
Artefacts caused by the presence of metallic implants and prosthesis appear as dark bright streaks in computed tomography (CT) images, that obscure information about underlying anatomical structures. These phenomena can severely degrade image quality hinder correct diagnostic interpretation. Although many techniques for reduction metal artefacts have been proposed literature, their effectiveness is still limited. In this paper, an application a convolutional neural networks (CNN) to problem...