Giacomo Tarroni
Orcid: 0000-0002-0341-6138
According to our database1,
Giacomo Tarroni
authored at least 50 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Sample selection with noise rate estimation in noise learning of medical image analysis.
CoRR, 2023
CoRR, 2023
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification.
CoRR, 2023
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection.
CoRR, 2023
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022
Medical Image Anal., 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Anti-transfer learning for task invariance in convolutional neural networks for speech processing.
Neural Networks, 2021
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
IEEE Trans. Medical Imaging, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE Trans. Medical Imaging, 2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
A novel approach to aortic intima-media thickness quantification from fetal ultrasound images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Fully-automated identification and segmentation of aortic lumen from fetal ultrasound images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A supervised learning approach for the robust detection of heart beat in plethysmographic data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Fully Automated Approach to Aortic Distensibility Quantification from Fetal Ultrasound Images.
Proceedings of the Computing in Cardiology, 2015
2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Near-Automated Quantification of Prenatal Aortic Intima-Media Thickness from Ultrasound Images.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Fully Automated Assessment of Left Ventricular Volumes, Function and Mass from Cardiac MRI.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Near-automated 3D segmentation of left and right ventricles on magnetic resonance images.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets.
Proceedings of the Computing in Cardiology, 2013
2012
Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images.
PhD thesis, 2012
Erratum to: Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy.
Medical Biol. Eng. Comput., 2012
Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy.
Medical Biol. Eng. Comput., 2012