Luca Giancardo

UTHealth School of Biomedical Informatics 
"Luca Giancardo"
Cross-listing: Imaging Tree

BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Yang K, Musio F, Ma Y, et al. (2023) Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. Arxiv
Coronado I, Pachade S, Trucco E, et al. (2023) Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks. Scientific Reports. 13: 15325
Pachade S, Coronado I, Abdelkhaleq R, et al. (2022) Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging. Journal of Clinical Medicine. 11
Li Z, Li R, Kiser KJ, et al. (2021) Segmenting Thoracic Cavities with Neoplastic Lesions: A Head-to-head Benchmark with Fully Convolutional Neural Networks. Acm-Bcb ... ... : the ... Acm Conference On Bioinformatics, Computational Biology and Biomedicine. Acm Conference On Bioinformatics, Computational Biology and Biomedicine. 2021
Coronado I, Abdelkhaleq R, Yan J, et al. (2021) Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3873-3876
Pachade S, Porwal P, Kokare M, et al. (2021) NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation. Medical Image Analysis. 74: 102253
Kiser KJ, Barman A, Stieb S, et al. (2021) Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow. Journal of Digital Imaging
Pachade S, Porwal P, Thulkar D, et al. (2021) Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research Data. 6: 14
Kiser KJ, Ahmed S, Stieb S, et al. (2020) PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines. Medical Physics
Kim Y, Jiang X, Giancardo L, et al. (2020) Multimodal Phenotyping of Alzheimer's Disease with Longitudinal Magnetic Resonance Imaging and Cognitive Function Data. Scientific Reports. 10: 5527
See more...