Antonio Di Ieva
Orcid: 0000-0002-5341-5416
According to our database1,
Antonio Di Ieva
authored at least 26 papers
between 2011 and 2024.
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Bibliography
2024
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.
Expert Syst. Appl., 2024
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis.
CoRR, 2024
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery.
CoRR, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
2023
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection.
CoRR, 2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
CoRR, 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves.
Sensors, 2022
Colour adaptive generative networks for stain normalisation of histopathology images.
Medical Image Anal., 2022
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.
Medical Biol. Eng. Comput., 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of The 1st Gaze Meets ML workshop, 2022
2021
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
2020
Deep learning for automated cerebral aneurysm detection on computed tomography images.
Int. J. Comput. Assist. Radiol. Surg., 2020
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2017
Proceedings of the 21st International Conference on Control Systems and Computer Science, 2017
2014
Fractal-based arteriovenous malformations detection in brain magnetic resonance images.
Proceedings of the IEEE 12th International New Circuits and Systems Conference, 2014
Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
2011
NeuroImage, 2011