| A deep variational approach to clustering survival data L Manduchi, R Marcinkevičs, MC Massi, T Weikert, A Sauter, V Gotta, ... arXiv preprint arXiv:2106.05763, 2021 | 32 | 2021 |
| Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases MC Massi, F Ieva, E Lettieri BMC medical informatics and decision making 20, 1-11, 2020 | 31 | 2020 |
| A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multi-national cohort MC Massi, F Gasperoni, F Ieva, AM Paganoni, P Zunino, A Manzoni, ... Frontiers in oncology 10, 541281, 2020 | 22 | 2020 |
| Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity NR Franco, MC Massi, F Ieva, A Manzoni, AM Paganoni, P Zunino, ... Radiotherapy and Oncology 159, 241-248, 2021 | 16 | 2021 |
| Feature selection for imbalanced data with deep sparse autoencoders ensemble MC Massi, F Gasperoni, F Ieva, AM Paganoni Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (3 …, 2022 | 12 | 2022 |
| Learning high-order interactions for polygenic risk prediction MC Massi, NR Franco, A Manzoni, AM Paganoni, HA Park, M Hoffmeister, ... Plos one 18 (2), e0281618, 2023 | 3 | 2023 |
| A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis MC Massi, L Dominoni, F Ieva, G Fiorito PLoS Computational Biology 18 (9), e1009959, 2022 | 3 | 2022 |
| Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score T Rancati, M Massi, N Franco, B Avuzzi, D Azria, A Choudhury, A Cicchetti, ... | 3 | 2021 |
| Patient representations from complex biological systems for Precision Medicine MC Massi | 2 | 2022 |
| Minority class feature selection through semi-supervised deep sparse autoencoders M Massi, F Ieva, F Gasperoni, AM Paganoni Milano: Mox Report-Politecnico di Milano, 2019 | 2 | 2019 |
| Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification MC Massi, F Ieva 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 1 | 2021 |
| High-Order Interaction Learning via Targeted Pattern Search MC Massi, NR Franco, F Ieva, A Manzoni, AM Paganoni, P Zunino MOX Report 59, 2020, 2020 | 1 | 2020 |
| GENETICALLY-BASED COX-NTCP MODELS FOR LATE TOXICITY AFTER PROSTATE CANCER RT T Rancati, E Gioscio, MC Massi, NR Franco, B Avuzzi, D Azria, ... Physica Medica 115, 102708, 2023 | | 2023 |
| Genetically-based Cox-NTCP models for late toxicity after prostate cancer RT B Avuzzi, T Rancati, E Gioscio, M Massi, NR Franco, A Cicchetti, ... European Urology Open Science 57, S111-S112, 2023 | | 2023 |
| Dual Adversarial Deconfounding Autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data L Cavinato, MC Massi, M Sollini, M Kirienko, F Ieva Scientific Reports 13 (1), 18857, 2023 | | 2023 |
| Managing RT Schedules of Early-Stage Breast Cancer Patients with a Genetic-Dosimetric Validated Model for Late Fibrosis A Cicchetti, E Gioscio, MC De Santis, P Seibold, D Azria, A Dunning, ... International journal of radiation oncology, biology, physics 117 (2), e170-e171, 2023 | | 2023 |
| OC-0510 Genetically-based Cox-NTCP models for late toxicity after prostate cancer RT T Rancati, G Eliana, M Massi, NR Franco, B Avuzzi, A Cicchetti, ... Radiotherapy and Oncology 182, S418-S420, 2023 | | 2023 |
| Learning High-Order Interactions via Targeted Pattern Search MC Massi, NR Franco, F Ieva, A Manzoni, AM Paganoni, P Zunino arXiv preprint arXiv:2102.12974, 2021 | | 2021 |
| Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism M Massi, F Ieva Book of Short Papers SIS 2021, 997-1002, 2021 | | 2021 |
| Interpretability and interaction learning for logistic regression models NR Franco, MC Massi, F Ieva, AM Paganoni Book of short papers-SIS 2021, 1082-1087, 2021 | | 2021 |
