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Damir Vrabac

Showing results (1-10 of 6) with videos related to

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IEEE Control Systems Letters|July 5, 2022
Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR ModelDamir Vrabac, Mingfeng Shang, Brooks Butler, et al.
Scientific Data|May 21, 2021
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image setDamir Vrabac, Akshay Smit, Rebecca Rojansky, et al.
Cell Reports. Medicine|April 12, 2023
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancerVivek Nimgaonkar, Viswesh Krishna, Vrishab Krishna, et al.
European Urology Oncology|April 26, 2025
Presence of an Artificial Intelligence-powered Predictive Biomarker Is Associated with a Poor Response to Intravesical Bacillus Calmette-Guerin but Not to Intravesical Sequential Gemcitabine/Docetaxel in Patients with High-grade Non-muscle-invasive Bladder CancerVignesh T Packiam, Ian M McElree, Saum Ghodoussipour, et al.
European Urology|June 13, 2025
Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification SchemesSam S Chang, Bryn Launer, Vikram Narayan, et al.
The Journal of Urology|October 9, 2024
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center CohortYair Lotan, Viswesh Krishna, Waleed M Abuzeid, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Control Systems Letters|July 5, 2022
Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR ModelDamir Vrabac, Mingfeng Shang, Brooks Butler, et al.
Scientific Data|May 21, 2021
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image setDamir Vrabac, Akshay Smit, Rebecca Rojansky, et al.
Cell Reports. Medicine|April 12, 2023
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancerVivek Nimgaonkar, Viswesh Krishna, Vrishab Krishna, et al.
European Urology Oncology|April 26, 2025
Presence of an Artificial Intelligence-powered Predictive Biomarker Is Associated with a Poor Response to Intravesical Bacillus Calmette-Guerin but Not to Intravesical Sequential Gemcitabine/Docetaxel in Patients with High-grade Non-muscle-invasive Bladder CancerVignesh T Packiam, Ian M McElree, Saum Ghodoussipour, et al.
European Urology|June 13, 2025
Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification SchemesSam S Chang, Bryn Launer, Vikram Narayan, et al.
The Journal of Urology|October 9, 2024
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center CohortYair Lotan, Viswesh Krishna, Waleed M Abuzeid, et al.
Pageof 1