| The revolution of personalized psychiatry: will technology make it happen sooner? G Perna, M Grassi, D Caldirola, CB Nemeroff Psychological medicine 48 (5), 705-713, 2018 | 97 | 2018 |
| A novel ensemble-based machine learning algorithm to predict the conversion from mild cognitive impairment to Alzheimer's disease using socio-demographic characteristics … M Grassi, N Rouleaux, D Caldirola, D Loewenstein, K Schruers, G Perna, ... Frontiers in neurology 10, 756, 2019 | 83 | 2019 |
| Baseline respiratory parameters in panic disorder: a meta-analysis M Grassi, D Caldirola, G Vanni, G Guerriero, M Piccinni, A Valchera, ... Journal of affective disorders 146 (2), 158-173, 2013 | 76 | 2013 |
| A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer’s Disease Conversion in Individuals with Mild and Premild Cognitive Impairment M Grassi, G Perna, D Caldirola, K Schruers, R Duara, DA Loewenstein Journal of Alzheimer's Disease 61 (4), 1555-1573, 2018 | 59 | 2018 |
| Efficacy of bio-and neurofeedback for depression: a meta-analysis J Fernández-Álvarez, M Grassi, D Colombo, C Botella, P Cipresso, ... Psychological medicine 52 (2), 201-216, 2022 | 53 | 2022 |
| Are respiratory abnormalities specific for panic disorder? A meta-analysis M Grassi, D Caldirola, NV Di Chiaro, A Riva, S Daccò, M Pompili, G Perna Neuropsychobiology 70 (1), 52-60, 2014 | 47 | 2014 |
| Artificial neural network model for the prediction of obsessive-compulsive disorder treatment response G Salomoni, M Grassi, P Mosini, P Riva, P Cavedini, L Bellodi Journal of clinical psychopharmacology 29 (4), 343-349, 2009 | 46 | 2009 |
| A clinically-translatable machine learning algorithm for the prediction of Alzheimer’s disease conversion: further evidence of its accuracy via a transfer learning approach M Grassi, DA Loewenstein, D Caldirola, K Schruers, R Duara, G Perna International psychogeriatrics 31 (7), 937-945, 2019 | 41 | 2019 |
| Is there a hypersensitive visual alarm system in panic disorder? D Caldirola, R Teggi, S Bondi, FL Lopes, M Grassi, M Bussi, G Perna Psychiatry Research 187 (3), 387-391, 2011 | 37 | 2011 |
| Personalized psychiatry and depression: the role of sociodemographic and clinical variables G Perna, A Alciati, S Daccò, M Grassi, D Caldirola Psychiatry investigation 17 (3), 193, 2020 | 31 | 2020 |
| Effects of cigarette smoking on neuropsychological performance in mood disorders: a comparison between smoking and nonsmoking inpatients D Caldirola, S Daccò, M Grassi, A Citterio, R Menotti, P Cavedini, ... The Journal of Clinical Psychiatry 74 (2), 5730, 2013 | 31 | 2013 |
| Self-reported quality of life and clinician-rated functioning in mood and anxiety disorders: relationships and neuropsychological correlates D Caldirola, M Grassi, A Riva, S Daccò, D De Berardis, B Dal Santo, ... Comprehensive psychiatry 55 (4), 979-988, 2014 | 22 | 2014 |
| Alzheimer’s Disease Neuroimaging Initiative A novel ensemble-based machine learning algorithm to predict the conversion from mild cognitive impairment to Alzheimer’s disease … M Grassi, N Rouleaux, D Caldirola, D Loewenstein, K Schruers, G Perna, ... Front. Neurol 10, 756, 2019 | 17 | 2019 |
| Childhood adversities in patients with fibromyalgia: are they related to comorbid lifetime major depression A Alciati, F Atzeni, M Grassi, D Caldirola, A Riva, P Sarzi-Puttini, G Perna Clin Exp Rheumatol 35 (3), 112-8, 2017 | 16 | 2017 |
| Features of mood associated with high body weight in females with fibromyalgia A Alciati, F Atzeni, M Grassi, D Caldirola, P Sarzi-Puttini, J Angst, G Perna Comprehensive psychiatry 80, 57-64, 2018 | 14 | 2018 |
| Does gender influence cognitive function in non-psychotic depression? D Caldirola, E Sangiorgio, A Riva, M Grassi, A Alciati, C Scialò, G Perna Personalized Medicine in Psychiatry 4, 25-31, 2017 | 11 | 2017 |
| Temperament, character and anxiety sensitivity in panic disorder: a high-risk study G Perna, D Di Pasquale, M Grassi, G Vanni, L Bellodi, D Caldirola Psychopathology 45 (5), 300-304, 2012 | 11 | 2012 |
| First-onset major depression during the COVID-19 pandemic: A predictive machine learning model D Caldirola, S Daccò, F Cuniberti, M Grassi, A Alciati, T Torti, G Perna Journal of Affective Disorders 310, 75-86, 2022 | 8 | 2022 |
| Elevated C-reactive protein levels across diagnoses: The first comparison among inpatients with major depressive disorder, bipolar disorder, or obsessive–compulsive disorder D Caldirola, S Daccò, F Cuniberti, M Grassi, S Lorusso, G Diaferia, ... Journal of Psychosomatic Research 150, 110604, 2021 | 8 | 2021 |
| Personalized medicine in panic disorder: Where are we now? A meta-regression analysis D Caldirola, M Grassi, A Alciati, A Riva, E Sangiorgio, S Daccò, G Perna Personalized Medicine in Psychiatry 1, 26-38, 2017 | 8 | 2017 |
