activity
20202022
most citedDeep Learning for Brain Age Estimation: A Systematic Review

142 citations · 158 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 142 cited

Deep Learning for Brain Age Estimation: A Systematic Review

M. Tanveer, M. A. Ganaie, Iman Beheshti +7

Over the years, Machine Learning models have been successfully employed on neuroimaging data for accurately predicting brain age. Deviations from the healthy brain aging pattern ar…

cs.CV2022★ 11 cited

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence

Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi +9

Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of many individuals by causing damage to the myocardium. The occurrence of microbes and…

cs.CV2021

Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

Jin Hong, Yu-Dong Zhang, Weitian Chen

Domain adaptation is crucial for transferring the knowledge from the source labeled CT dataset to the target unlabeled MR dataset in abdominal multi-organ segmentation. Meanwhile,…

eess.IV2021★ 2 cited

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images

Juan E. Arco, Andrés Ortiz, Javier Ramírez +7

The outbreak of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), there have been more than 100 million conf…

eess.IV2020★ 3 cited

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images

Juan E. Arco, A. Ortiz, J. Ramirez +3

Respiratory diseases kill million of people each year. Diagnosis of these pathologies is a manual, time-consuming process that has inter and intra-observer variability, delaying di…