Leonardo Rundo

According to our database1, Leonardo Rundo authored at least 43 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 



On csauthors.net:


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

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration.
Fundam. Informaticae, 2020

Computational Intelligence for Life Sciences.
Fundam. Informaticae, 2020

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction.
CoRR, 2020

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
CoRR, 2020

Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems.
CoRR, 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

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
Neurocomputing, 2019

MedGA: A novel evolutionary method for image enhancement in medical imaging systems.
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

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection.
CoRR, 2019

A novel framework for MR image segmentation and quantification by using MedGA.
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

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

GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model.
Nat. Comput., 2018

A framework for data-driven adaptive GUI generation based on DICOM.
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

GAN-based synthetic brain MR image generation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

High Performance Computing for Haplotyping: Models and Platforms.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Computational Intelligence for Parameter Estimation of Biochemical Systems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

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

Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments.
Medical Biol. Eng. Comput., 2016

Multimodal medical image registration using Particle Swarm Optimization: A review.
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

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