Valentina Pedoia
According to our database1,
Valentina Pedoia
authored at least 27 papers
between 2011 and 2023.
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Bibliography
2023
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.
J. Digit. Imaging, April, 2023
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls.
CoRR, 2023
2022
Medical Image Anal., 2022
BMC Medical Imaging, 2022
2021
Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform.
CoRR, 2021
2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning.
CoRR, 2020
CoRR, 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.
J. Digit. Imaging, 2019
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning.
CoRR, 2019
Computation and management of weighted activation vectors in support to fMRI analysis of clinical subjects.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Collection and fuzzy estimation of truth labels in glial tumour segmentation studies.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
Automatic Segmentation of MR Brain Tumor Images using Support Vector Machine in Combination with Graph Cut.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
2013
PhD thesis, 2013
2012
Manual labeling strategy for ground truth estimation in MRI glial tumor segmentation.
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Computational Modelling of Objects Represented in Images, 2012
Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury.
Proceedings of the Computational Modelling of Objects Represented in Images, 2012
2011
Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain.
Proceedings of the VISAPP 2011, 2011