Leonardo Rundo
Orcid: 0000-0003-3341-5483
According to our database1,
Leonardo Rundo
authored at least 75 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
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
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
J. Digit. Imaging, April, 2023
Cogn. Comput., January, 2023
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification.
IEEE Trans. Ind. Informatics, 2023
2022
Symmetry, 2022
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey.
J. Imaging, 2022
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
CoRR, 2022
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Comput. Medical Imaging Graph., 2022
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.
Biomed. Signal Process. Control., 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter?
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2021
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.
J. Supercomput., 2021
A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks.
IEEE Trans. Emerg. Top. Comput., 2021
Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons.
Symmetry, 2021
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.
PLoS Comput. Biol., 2021
A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes.
J. Imaging, 2021
A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison.
IET Biom., 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
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation.
Symmetry, 2020
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.
J. Biomed. Informatics, 2020
J. Biomed. Informatics, 2020
A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration.
Fundam. Informaticae, 2020
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.
Comput. Biol. Medicine, 2020
Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2019
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
Neurocomputing, 2019
Expert Syst. Appl., 2019
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.
CoRR, 2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.
CoRR, 2019
CoRR, 2019
Comput. Methods Programs Biomed., 2019
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.
Comput. Biol. Medicine, 2019
GenHap: a novel computational method based on genetic algorithms for haplotype assembly.
BMC Bioinform., 2019
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design.
Appl. Soft Comput., 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection.
IEEE Access, 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
Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 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
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection.
Proceedings of the 2019 International Conference on 3D Vision, 2019
2018
Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model.
Nat. Comput., 2018
J. Biomed. Informatics, 2018
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.
Int. J. Imaging Syst. Technol., 2018
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017
Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging.
Inf., 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Comput. Methods Programs Biomed., 2017
Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware.
Comput. Biol. Medicine, 2017
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments.
Medical Biol. Eng. Comput., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model.
Proceedings of the Cellular Automata, 2016
2015
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering.
Int. J. Imaging Syst. Technol., 2015
A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation.
Comput. Biol. Medicine, 2015