Crimi, Alessandro

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification

Hamed, A. A., Lee, B. S., Crimi, A., & Misiak, M. M. (2023) · arXiv

Biomedical Text Mining and OntologiesMisinformation and Its Impacts

Cited by 5

Challenging the Machinery of Generative AI with Fact-Checking: Ontology-Driven Biological Graphs for Verifying Human Disease-Gene Links

Hamed, A. A., Crimi, A., Lee, B. S., & Misiak, M. M. (2024) · SSRN Electronic Journal

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 3