Overview of iDPP@ CLEF 2022: the intelligent disease progression prediction challenge A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... CEUR WORKSHOP PROCEEDINGS 3180, 1130-1210, 2022 | 23 | 2022 |
Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, A Helena, ... CEUR WORKSHOP PROCEEDINGS 3497, 1123-1164, 2023 | 21 | 2023 |
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ... Artificial Intelligence in Medicine 142, 102588, 2023 | 18 | 2023 |
Intelligent disease progression prediction: overview of iDPP@ CLEF 2022 A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 14 | 2022 |
Learned primal dual reconstruction for PET A Guazzo, M Colarieti-Tosti Journal of Imaging 7 (12), 248, 2021 | 12 | 2021 |
Intelligent disease progression prediction: overview of iDPP@ CLEF 2023 G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, H Aidos, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 10 | 2023 |
Intelligent disease progression prediction: overview of iDPP@ CLEF 2024 G Birolo, P Bosoni, G Faggioli, H Aidos, R Bergamaschi, P Cavalla, ... International Conference of the Cross-Language Evaluation Forum for European …, 2024 | 8 | 2024 |
Overview of iDPP@ CLEF 2024: the intelligent disease progression prediction challenge G Birolo, P Bosoni, G Faggioli, H Aidos, R Bergamaschi, P Cavalla, ... Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024 …, 2024 | 7 | 2024 |
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. A Guazzo, I Trescato, E Longato, E Tavazzi, M Vettoretti, B Di Camillo CLEF (Working Notes), 1219-1232, 2023 | 6 | 2023 |
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text A Guazzo, E Longato, GP Fadini, ML Morieri, G Sparacino, B Di Camillo Scientific Reports 13 (1), 19132, 2023 | 5 | 2023 |
Using wearable and environmental data to improve the prediction of amyotrophic lateral sclerosis and multiple sclerosis progression: an explorative study E Marinello, A Guazzo, E Longato, E Tavazzi, I Trescato, M Vettoretti, ... CEUR WORKSHOP PROCEEDINGS 3740, 1353-1365, 2024 | 2 | 2024 |
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin E Faggionato, A Guazzo, E Pegolo, R Carli, M Bruschetta, S Del Favero IEEE Transactions on Biomedical Engineering 70 (9), 2667-2678, 2023 | 2 | 2023 |
Baseline machine learning approaches to predict amyotrophic lateral sclerosis disease progression I Trescato, A Guazzo, E Longato, E Hazizaj, C Roversi, E Tavazzi, ... CLEF 2022 Working Notes, CEUR Workshop Proceedings, 2022 | 2 | 2022 |
Deep learning for PET imaging: from denoising to learned primal-dual reconstruction A Guazzo | 2 | 2020 |
DAVI: A Dataset for Automatic Variant Interpretation F Longhin, A Guazzo, E Longato, N Ferro, B Di Camillo International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 1 | 2023 |
Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims A Guazzo, E Longato, ML Morieri, G Sparacino, B Franco-Novelletto, ... Scientific Reports 12 (1), 7762, 2022 | 1 | 2022 |
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings A Guazzo, A Battaggia, E Longato, B Franco-Novelletto, A Avogaro, ... 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 1 | 2021 |
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study A Guazzo, M Atzeni, E Idi, I Trescato, E Tavazzi, E Longato, U Manera, ... BMC Medical Informatics and Decision Making 24 (Suppl 4), 318, 2024 | | 2024 |
Learned Primal Dual Reconstruction with Dual-Domain Transformers for PET A Adelöw, HR Kanan, A Guazzo, M Colarieti-Tosti 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC …, 2024 | | 2024 |
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability I Trescato, A Guazzo, E Longato, E Tavazzi, M Vettoretti, U Manera, ... 2024 IEEE 8th Forum on Research and Technologies for Society and Industry …, 2024 | | 2024 |