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Paolo Soda
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paolo.soda@umu.se
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Institutionen för strålningsvetenskaper
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10c, Målpunkt E03, Norrlands universitetssjukhus
Umeå universitet, 901 87 Umeå
Publikationer
Publikationer
2023
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.
2023
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.
2023
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
2023
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
2023
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
2023
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.
2023
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.
2022
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.
2022
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.
2022
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.
2022
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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