| Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools G Nicora, F Vitali, A Dagliati, N Geifman, R Bellazzi Frontiers in Oncology 10, 1030, 2020 | 175 | 2020 |
| Evaluating pointwise reliability of machine learning prediction G Nicora, M Rios, A Abu-Hanna, R Bellazzi Journal of Biomedical Informatics 127, 103996, 2022 | 42 | 2022 |
| CardioVAI: An automatic implementation of ACMG‐AMP variant interpretation guidelines in the diagnosis of cardiovascular diseases G Nicora, I Limongelli, P Gambelli, M Memmi, A Malovini, A Mazzanti, ... Human mutation 39 (12), 1835-1846, 2018 | 38 | 2018 |
| A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization G Nicora, S Zucca, I Limongelli, R Bellazzi, P Magni Scientific reports 12 (1), 2517, 2022 | 33 | 2022 |
| Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development G Coticchio, G Fiorentino, G Nicora, R Sciajno, F Cavalera, R Bellazzi, ... Reproductive BioMedicine Online 42 (3), 521-528, 2021 | 27 | 2021 |
| Why did AI get this one wrong?—Tree-based explanations of machine learning model predictions E Parimbelli, TM Buonocore, G Nicora, W Michalowski, S Wilk, R Bellazzi Artificial Intelligence in Medicine 135, 102471, 2023 | 13 | 2023 |
| The Gene Mover's Distance: Single-cell similarity via Optimal Transport R Bellazzi, A Codegoni, S Gualandi, G Nicora, E Vercesi arXiv preprint arXiv:2102.01218, 2021 | 12 | 2021 |
| A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data G Nicora, F Moretti, E Sauta, M Della Porta, L Malcovati, M Cazzola, ... Journal of biomedical informatics 104, 103398, 2020 | 6 | 2020 |
| A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia G Nicora, R Bellazzi AMIA Annual Symposium Proceedings 2020, 925, 2020 | 6 | 2020 |
| Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm G Nicora, M Salemi, S Marini, R Bellazzi BMJ Health & Care Informatics 29 (1), 2022 | 5 | 2022 |
| Artificial intelligence and machine learning: just a hype or a new opportunity for pharmacometrics R Bartolucci, S Grandoni, N Melillo, G Nicora, E Sauta, EM Tosca, ... Page Meet 28, 2019 | 5 | 2019 |
| Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa. M Catalano, C Bortolotto, G Nicora, MF Achilli, A Consonni, L Ruongo, ... European Journal of Radiology Open 11, 100497, 2023 | 4 | 2023 |
| MALDI mass spectrometry imaging shows a gradual change in the proteome landscape during mouse ovarian folliculogenesis G Fiorentino, A Smith, G Nicora, R Bellazzi, F Magni, S Garagna, ... Molecular Human Reproduction 29 (4), gaad006, 2023 | 4 | 2023 |
| A semi-supervised learning approach for pan-cancer somatic genomic variant classification G Nicora, S Marini, I Limongelli, E Rizzo, S Montoli, FF Tricomi, R Bellazzi Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 4 | 2019 |
| Correlation between PD-L1 Expression of Non-Small Cell Lung Cancer and Data from IVIM-DWI Acquired during Magnetic Resonance of the Thorax: Preliminary Results C Bortolotto, GM Stella, G Messana, A Lo Tito, C Podrecca, G Nicora, ... Cancers 14 (22), 5634, 2022 | 3 | 2022 |
| Evaluation of XAI on ALS 6-months mortality prediction. TM Buonocore, G Nicora, A Dagliati, E Parimbelli CLEF (Working Notes), 1228-1235, 2022 | 3 | 2022 |
| A rule-based expert system for automatic implementation of somatic variant clinical interpretation guidelines G Nicora, I Limongelli, R Cova, MG Della Porta, L Malcovati, M Cazzola, ... Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 3 | 2019 |
| Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes Project SL Stenton, M O’Leary, G Lemire, GE VanNoy, S DiTroia, VS Ganesh, ... medRxiv, 2023 | 2 | 2023 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome Interpretation Consortium arXiv e-prints, arXiv: 2205.05897, 2022 | 2 | 2022 |
| Tree-based local explanations of machine learning model predictions, AraucanaXAI E Parimbelli, G Nicora, S Wilk, W Michalowski, R Bellazzi arXiv preprint arXiv:2110.08272, 2021 | 2 | 2021 |
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of PaviaEmail verificata su unipv.it
