Evis Sala
Orcid: 0000-0002-5518-9360
According to our database1,
Evis Sala
authored at least 26 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm.
Inf. Fusion, September, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Comput. Biol. Medicine, September, 2023
Nat. Mac. Intell., July, 2023
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
J. Digit. Imaging, April, 2023
2022
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2022
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
CoRR, 2022
Classification of datasets with imputed missing values: does imputation quality matter?
CoRR, 2022
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Comput. Medical Imaging Graph., 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.
J. Supercomput., 2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell., 2021
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR, 2021
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation.
CoRR, 2021
CoRR, 2021
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation.
CoRR, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
Comput. Methods Programs Biomed., 2021
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
Comput. Biol. Medicine, 2021
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction.
BMC Bioinform., 2021
2020
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.
J. Biomed. Informatics, 2020
A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration.
Fundam. Informaticae, 2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.
Comput. Biol. Medicine, 2020
2019
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.
Proceedings of the Parallel Computing Technologies, 2019
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.
Proc. Natl. Acad. Sci. USA, 2015