Search Results - "Grahovac, Marko"

Safety reporting in trials on glaucoma interventions registered in ClinicalTrials.gov and corresponding publications by Krešo, Ante, Grahovac, Marko, Znaor, Ljubo, Marušić, Ana

“…Accurate, comprehensive, and consistent reporting of adverse events is of great importance for treatment decisions in clinical practice and patient safety…”
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3D ultrasound guided navigation system with hybrid image fusion by Iommi, David, Valladares, Alejandra, Figl, Michael, Grahovac, Marko, Fichtinger, Gabor, Hummel, Johann

“…A prototype of a navigation system to fuse two image modalities is presented. The standard inter-modality registration is replaced with a tracker-based image…”
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Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer by Spielvogel, Clemens P., Stoiber, Stefan, Papp, Laszlo, Krajnc, Denis, Grahovac, Marko, Gurnhofer, Elisabeth, Trachtova, Karolina, Bystry, Vojtech, Leisser, Asha, Jank, Bernhard, Schnoell, Julia, Kadletz, Lorenz, Heiduschka, Gregor, Beyer, Thomas, Hacker, Marcus, Kenner, Lukas, Haug, Alexander R.

“…Purpose Head and neck squamous cell carcinomas (HNSCCs) are a molecularly, histologically, and clinically heterogeneous set of tumors originating from the…”
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Evaluation of Reporting Quality of Glaucoma Randomized Controlled Trial Abstracts: Current Status and Future Perspectives by Vucinovic, Ana, Bukic, Josipa, Rusic, Doris, Leskur, Dario, Seselja Perisin, Ana, Radic, Marijana, Grahovac, Marko, Modun, Darko

“…The aim of this study was to explore adherence to the Consolidated Standards of Reporting Trials (CONSORT) reporting standards in abstracts of randomized…”
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Automated data preparation for in vivo tumor characterization with machine learning by Krajnc, Denis, Spielvogel, Clemens P, Grahovac, Marko, Ecsedi, Boglarka, Rasul, Sazan, Poetsch, Nina, Traub-Weidinger, Tatjana, Haug, Alexander R, Ritter, Zsombor, Alizadeh, Hussain, Hacker, Marcus, Beyer, Thomas, Papp, Laszlo

“…This study proposes machine learning-driven data preparation (MLDP) for optimal data preparation (DP) prior to building prediction models for cancer cohorts. A…”
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Obesity and Clonal Hematopoiesis of Indeterminate Potential: Allies in Cardiovascular Diseases and Malignancies by Komic, Luka, Kumric, Marko, Urlic, Hrvoje, Rizikalo, Azer, Grahovac, Marko, Kelam, Jelena, Tomicic, Marion, Rusic, Doris, Ticinovic Kurir, Tina, Bozic, Josko

“…The clonal hematopoiesis of indeterminate potential (CHIP) is a term used to describe individuals who have detectable somatic mutations in genes commonly found…”
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Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence by Rusic, Doris, Kumric, Marko, Seselja Perisin, Ana, Leskur, Dario, Bukic, Josipa, Modun, Darko, Vilovic, Marino, Vrdoljak, Josip, Martinovic, Dinko, Grahovac, Marko, Bozic, Josko

“…Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face in the future. There have been various attempts to preserve the…”
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PSMA Ligand PET/MRI for Primary Prostate Cancer: Staging Performance and Clinical Impact by Grubmüller, Bernhard, Baltzer, Pascal, Hartenbach, Sabrina, D'Andrea, David, Helbich, Thomas H, Haug, Alexander R, Goldner, Gregor M, Wadsak, Wolfgang, Pfaff, Sarah, Mitterhauser, Markus, Balber, Theresa, Berroteran-Infante, Neydher, Grahovac, Marko, Babich, John, Seitz, Christian, Kramer, Gero, Susani, Martin, Mazal, Peter, Kenner, Lukas, Shariat, Shahrokh F, Hacker, Marcus, Hartenbach, Markus

“…Primary staging of prostate cancer relies on modalities, which are limited. We evaluate simultaneous [ Ga]Ga-PSMA-11 PET (PSMA-PET)/MRI as a new diagnostic…”
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Optimized Feature Extraction for Radiomics Analysis of 18F-FDG PET Imaging by Papp, Laszlo, Rausch, Ivo, Grahovac, Marko, Hacker, Marcus, Beyer, Thomas

“…Radiomics analysis of 18F-FDG PET/CT images promises well for an improved in vivo disease characterization. To date, several studies have reported significant…”
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Optimized Feature Extraction for Radiomics Analysis of 18 F-FDG PET Imaging by Papp, Laszlo, Rausch, Ivo, Grahovac, Marko, Hacker, Marcus, Beyer, Thomas

“…Radiomics analysis of F-FDG PET/CT images promises well for an improved in vivo disease characterization. To date, several studies have reported significant…”
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DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters by Papp, Laszlo, Haberl, David, Ecsedi, Boglarka, Spielvogel, Clemens P., Krajnc, Denis, Grahovac, Marko, Moradi, Sasan, Drexler, Wolfgang

“…Modern artificial intelligence (AI) approaches mainly rely on neural network (NN) or deep NN methodologies. However, these approaches require large amounts of…”
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Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma by Zhao, Meixin, Kluge, Kilian, Papp, Laszlo, Grahovac, Marko, Yang, Shaomin, Jiang, Chunting, Krajnc, Denis, Spielvogel, Clemens P., Ecsedi, Boglarka, Haug, Alexander, Wang, Shiwei, Hacker, Marcus, Zhang, Weifang, Li, Xiang

“…Objectives This study investigates the ability of machine learning (ML) models trained on clinical data and 2-deoxy-2-[18F]fluoro-D-glucose(FDG) positron…”
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Robustness of radiomic features in supervised machine learning prediction models of survival using varying segmentation methods in [18F]FDG PET/CT in patients with pancreatic and esophageal cancer by Nakuz, Thomas, Papp, Laszlo, Raidl, Markus, Grahovac, Marko, Haug, Alexander, Hacker, Marcus, Karanikas, Georgios

“…Aim: To retrospectively evaluate robustness of radiomic feature by using varying manual, semi-automated and automated delineation methods and subsequent…”
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Exploratory analysis of using supervised machine learning in [^sup 18^F] FDG PET/CT images to predict for recurrence and suvival in cervical cancer by Leisser, Asha, Grahovac, Marko, Papp, Laszlo, Nakuz, Thomas, Hacker, Marcus, Beyer, Thomas, Nejabat, Marzieh, Haug, Alexander

“…Aim: The aim of this study was to identify relevant features on 2-deoxy-2-(18F)fluoro-D-glucose PET/CT ([18F] FDG-PET/CT) to predict for recurrence (R) and…”
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Breast Tumor Characterization Using [ 18 F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics by Krajnc, Denis, Papp, Laszlo, Nakuz, Thomas S, Magometschnigg, Heinrich F, Grahovac, Marko, Spielvogel, Clemens P, Ecsedi, Boglarka, Bago-Horvath, Zsuzsanna, Haug, Alexander, Karanikas, Georgios, Beyer, Thomas, Hacker, Marcus, Helbich, Thomas H, Pinker, Katja

“…: This study investigated the performance of ensemble learning holomic models for the detection of breast cancer, receptor status, proliferation rate, and…”
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The Role of AI in Breast Cancer Lymph Node Classification: A Comprehensive Review by Vrdoljak, Josip, Krešo, Ante, Kumrić, Marko, Martinović, Dinko, Cvitković, Ivan, Grahovac, Marko, Vickov, Josip, Bukić, Josipa, Božic, Joško

“…Breast cancer is a significant health issue affecting women worldwide, and accurately detecting lymph node metastasis is critical in determining treatment and…”
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Glioma Survival Prediction with Combined Analysis of In Vivo 11 C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning by Papp, László, Pötsch, Nina, Grahovac, Marko, Schmidbauer, Victor, Woehrer, Adelheid, Preusser, Matthias, Mitterhauser, Markus, Kiesel, Barbara, Wadsak, Wolfgang, Beyer, Thomas, Hacker, Marcus, Traub-Weidinger, Tatjana

“…Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is routinely made ex vivo by histopathologic and molecular examination,…”
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Glioma Survival Prediction with Combined Analysis of In Vivo ^sup 11^C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning by Papp, László, Pötsch, Nina, Grahovac, Marko, Schmidbauer, Victor, Woehrer, Adelheid, Preusser, Matthias, Mitterhauser, Markus, Kiesel, Barbara, Wadsak, Wolfgang, Beyer, Thomas, Hacker, Marcus, Traub-Weidinger, Tatjana

“…Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is routinely made ex vivo by histopathologic and molecular examination,…”
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Adherence to Mediterranean diet and advanced glycation endproducts in patients with diabetes by Grahovac, Marko, Kumric, Marko, Vilovic, Marino, Martinovic, Dinko, Kreso, Ante, Ticinovic Kurir, Tina, Vrdoljak, Josip, Prizmic, Karlo, Božić, Joško

“…BACKGROUNDIn recent years, American Diabetes Association started to strongly advocate the Mediterranean diet (MD) over other diets in patients with diabetes…”
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A Sneak-Peek into the Physician’s Brain: A Retrospective Machine Learning-Driven Investigation of Decision-Making in TAVR versus SAVR for Young High-Risk Patients with Severe Symptomatic Aortic Stenosis by Hasimbegovic, Ena, Papp, Laszlo, Grahovac, Marko, Krajnc, Denis, Poschner, Thomas, Hasan, Waseem, Andreas, Martin, Gross, Christoph, Strouhal, Andreas, Delle-Karth, Georg, Grabenwöger, Martin, Adlbrecht, Christopher, Mach, Markus

“…Transcatheter aortic valve replacement (TAVR) has rapidly become a viable alternative to the conventional isolated surgical aortic valve replacement (iSAVR)…”
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