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Umeå universitet
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Huvudmenyn dold.

Paolo Soda

Kontakt

E-post
paolo.soda@umu.se
Telefon

Verksam vid

Anknytning
Gästprofessor vid Institutionen för diagnostik och intervention
Plats
5A, Målpunkt H62, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review
Frontiers in Robotics and AI, Frontiers Media S.A. 2024, Vol. 11
Coser, Omar; Tamantini, Christian; Soda, Paolo; et al.
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data
Artificial Intelligence in Medicine, Elsevier 2024, Vol. 149
Gravina, Michela; García-Pedrero, Angel; Gonzalo-Martín, Consuelo; et al.
Translating image XAI to multivariate time series
IEEE Access, IEEE 2024, Vol. 12 : 27484-27500
Tronchin, Lorenzo; Cordelli, Ermanno; Celsi, Lorenzo Ricciardi; et al.
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS): Proceedings, IEEE 2023 : 832-837
Aksu, Fatih; Gelardi, Fabrizia; Chiti, Arturo; et al.
3t-mri artificial intelligence in patients with invasive breast cancer to predict distant metastasis status: a pilot study
Cancers, MDPI 2023, Vol. 15, (1)
Calabrese, Alessandro; Santucci, Domiziana; Gravina, Michela; et al.
A comparative study between paired and unpaired image quality assessment in low-dose CT denoising
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS): Proceedings, IEEE 2023 : 471-476
Di Feola, Francesco; Tronchin, Lorenzo; Soda, Paolo
Exploring early stress detection from multimodal time series with deep reinforcement learning
Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 1917-1920
Furia, Leonardo; Tortora, Matteo; Soda, Paolo; et al.
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
Computers in Biology and Medicine, Elsevier 2023, Vol. 154
Guarrasi, Valerio; Soda, Paolo
Building an AI-enabled metaverse for intelligent healthcare: opportunities and challenges
Proceedings of the Italia intelligenza artificiale: thematic workshops, CEUR-WS 2023 : 134-139
Guarrasi, Valerio; Tronchin, Lorenzo; Caruso, Camillo Maria; et al.
Deep pathomics: a new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
PLOS ONE, Public Library of Science (PLoS) 2023, Vol. 18, (11)
Nibid, Lorenzo; Greco, Carlo; Cordelli, Ermanno; et al.
Named entity recognition in Italian lung cancer clinical reports using transformers
Proceedings - 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 4101-4107
Paolo, Domenico; Bria, Alessandro; Greco, Carlo; et al.
Stage I stereotactic body radiation therapy outcome's prediction models: perfection is the enemy of utility
Journal of Thoracic Oncology, Elsevier 2023, Vol. 18, (3) : 262-264
Ramella, Sara; Soda, Paolo
RadioPathomics: multimodal learning in non-small cell lung cancer for adaptive radiotherapy
IEEE Access, IEEE 2023, Vol. 11 : 47563-47578
Tortora, Matteo; Cordelli, Ermanno; Sicilia, Rosa; et al.
An empirical study on the joint impact of feature selection and data resampling on imbalance classification
Applied intelligence (Boston), Springer Nature 2023, Vol. 53 : 5449-5461
Zhang, Chongsheng; Soda, Paolo; Bi, Jingjun; et al.
A multimodal ensemble driven by multiobjective optimisation to predict overall survival in non-small-cell lung cancer
Journal of Imaging, MDPI 2022, Vol. 8, (11)
Caruso, Camillo Maria; Guarrasi, Valerio; Cordelli, Ermanno; et al.
Evaluating tumour bounding options for deep learning-based axillary lymph node metastasis prediction in breast cancer
2022 26th International Conference on Pattern Recognition (ICPR), Institute of Electrical and Electronics Engineers (IEEE) 2022 : 4335-4342
Gravina, Michela; Cordelli, Ermanno; Santucci, Domiziana; et al.
CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI
Cancers, MDPI 2022, Vol. 14, (19)
Santucci, Domiziana; Faiella, Eliodoro; Gravina, Michela; et al.
MLOps: A Taxonomy and a Methodology
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 2022, Vol. 10 : 63606-63618
Testi, Matteo; Ballabio, Matteo; Frontoni, Emanuele; et al.
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