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Marianna La Rocca
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2020 – today
- 2024
- [j7]Md Navid Akbar, Sebastian F. Ruf, Ashutosh Singh, Razieh Faghihpirayesh, Rachael Garner, Alexis Bennett, Celina Alba, Marianna La Rocca, Tales Imbiriba, Deniz Erdogmus, Dominique Duncan:
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. Comput. Medical Imaging Graph. 115: 102386 (2024) - [j6]Alessandro Fania, Alfonso Monaco, Ester Pantaleo, Tommaso Maggipinto, Loredana Bellantuono, Roberto Cilli, Antonio Lacalamita, Marianna La Rocca, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti:
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data. Remote. Sens. 16(7): 1206 (2024) - [j5]Livio Clemente, Marianna La Rocca, Giulia Paparella, Marianna Delussi, Giusy Tancredi, Katia Ricci, Giuseppe Procida, Alessandro Introna, Antonio Brunetti, Paolo Taurisano, Vitoantonio Bevilacqua, Marina de Tommaso:
Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain - Computer Interface Study. Sensors 24(7): 2329 (2024) - 2023
- [j4]Azrin Khan, Rachael Garner, Marianna La Rocca, Sana Salehi, Dominique Duncan:
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities. Signal Image Video Process. 17(4): 907-914 (2023) - 2022
- [j3]Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan:
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT. Expert Syst. Appl. 195: 116540 (2022) - [c8]Alexis Bennett, Rachael Garner, Marianna La Rocca, Ali Valehi, Dominique Duncan:
ABSTRACT: Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data. DCOSS 2022: 415 - 2021
- [j2]Loredana Bellantuono, Luca Marzano, Marianna La Rocca, Dominique Duncan, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti:
Predicting brain age with complex networks: From adolescence to adulthood. NeuroImage 225: 117458 (2021) - [c7]Akul Sharma, Rachael Garner, Marianna La Rocca, Celina Alba, Yenlin Lee, Karina Yang, Maya Brawer-Cohen, Dominique Duncan:
Machine Learning of Diffusion Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury. ANNSIM 2021: 1-9 - [c6]Razieh Faghihpirayesh, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. EMBC 2021: 302-305 - [c5]Md Navid Akbar, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Giuseppe Barisano, Ruskin Cua, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. CDMRI@MICCAI 2021: 133-143 - 2020
- [c4]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. PETRA 2020: 87:1-87:2 - [c3]Jiaju Liu, Rachael Garner, Marianna La Rocca, Eun-Kee Bae, Dominique Duncan:
The Effects of Filtering on High Frequency Oscillation Classification. SpringSim 2020: 1-11 - [i2]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. CoRR abs/2004.14580 (2020) - [i1]Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan:
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT. CoRR abs/2012.11860 (2020)
2010 – 2019
- 2019
- [c2]Rachael Garner, Marianna La Rocca, Giuseppe Barisano, Arthur W. Toga, Dominique Duncan, Paul M. Vespa:
A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity. SpringSim 2019: 1-11 - 2018
- [j1]Nicola Amoroso, Marianna La Rocca, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro:
Complex networks reveal early MRI markers of Parkinson's disease. Medical Image Anal. 48: 12-24 (2018) - 2017
- [c1]Nicola Amoroso, Roberto Bellotti, Domenico Diacono, Marianna La Rocca, Sabina Tangaro:
Salient Networks: A Novel Application to Study Brain Connectivity. IWBBIO (1) 2017: 444-453
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