| A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease S Spasov, L Passamonti, A Duggento, P Lio, N Toschi, ... Neuroimage 189, 276-287, 2019 | 338 | 2019 |
| Radiomics in breast cancer classification and prediction A Conti, A Duggento, I Indovina, M Guerrisi, N Toschi Seminars in cancer biology 72, 238-250, 2021 | 227 | 2021 |
| Inference of time-evolving coupled dynamical systems in the presence of noise T Stankovski, A Duggento, PVE McClintock, A Stefanovska Physical review letters 109 (2), 024101, 2012 | 157 | 2012 |
| Revolution of Alzheimer precision neurology. Passageway of systems biology and neurophysiology H Hampel, N Toschi, C Babiloni, F Baldacci, KL Black, ALW Bokde, ... Journal of Alzheimer's Disease 64 (s1), S47-S105, 2018 | 148 | 2018 |
| Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease A Vergallo, L Mégret, S Lista, E Cavedo, H Zetterberg, K Blennow, ... Alzheimer's & Dementia 15 (6), 764-775, 2019 | 134 | 2019 |
| The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow G Valenza, R Sclocco, A Duggento, L Passamonti, V Napadow, R Barbieri, ... Neuroimage 197, 383-390, 2019 | 118 | 2019 |
| Sex differences in functional and molecular neuroimaging biomarkers of Alzheimer's disease in cognitively normal older adults with subjective memory complaints E Cavedo, PA Chiesa, M Houot, MT Ferretti, MJ Grothe, SJ Teipel, S Lista, ... Alzheimer's & Dementia 14 (9), 1204-1215, 2018 | 85 | 2018 |
| A multi-modal convolutional neural network framework for the prediction of Alzheimer’s disease SE Spasov, L Passamonti, A Duggento, P Lio, N Toschi 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 71 | 2018 |
| Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillators A Duggento, T Stankovski, PVE McClintock, A Stefanovska Physical Review E 86 (6), 061126, 2012 | 60 | 2012 |
| Deep computational pathology in breast cancer A Duggento, A Conti, A Mauriello, M Guerrisi, N Toschi Seminars in cancer biology 72, 226-237, 2021 | 58 | 2021 |
| Globally conditioned Granger causality in brain–brain and brain–heart interactions: a combined heart rate variability/ultra-high-field (7 T) functional magnetic resonance … A Duggento, M Bianciardi, L Passamonti, LL Wald, M Guerrisi, R Barbieri, ... Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016 | 57 | 2016 |
| Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: evidence for ictal sympathetic dysregulation A Romigi, M Albanese, F Placidi, F Izzi, NB Mercuri, A Marchi, C Liguori, ... Epilepsia 57 (3), 418-426, 2016 | 57 | 2016 |
| Motion sickness increases functional connectivity between visual motion and nausea-associated brain regions N Toschi, J Kim, R Sclocco, A Duggento, R Barbieri, B Kuo, V Napadow Autonomic Neuroscience 202, 108-113, 2017 | 55 | 2017 |
| Functional connectivity in amygdalar‐sensory/(pre) motor networks at rest: new evidence from the Human Connectome Project N Toschi, A Duggento, L Passamonti European Journal of Neuroscience 45 (9), 1224-1229, 2017 | 50 | 2017 |
| Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations G Valenza, L Passamonti, A Duggento, N Toschi, R Barbieri Journal of the Royal Society Interface 17 (164), 20190878, 2020 | 48 | 2020 |
| Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease PA Chiesa, E Cavedo, A Vergallo, S Lista, MC Potier, MO Habert, ... Alzheimer's & Dementia 15 (7), 940-950, 2019 | 47 | 2019 |
| Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI A Duggento, L Passamonti, G Valenza, R Barbieri, M Guerrisi, N Toschi Scientific reports 8 (1), 5571, 2018 | 44 | 2018 |
| Alzheimer's disease neuroimaging I. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease S Spasov, L Passamonti, A Duggento, P Lio, N Toschi Neuroimage 189, 276-287, 2019 | 42 | 2019 |
| Association of cerebrospinal fluid α‐synuclein with total and phospho‐tau181 protein concentrations and brain amyloid load in cognitively normal subjective … A Vergallo, RS Bun, N Toschi, F Baldacci, H Zetterberg, K Blennow, ... Alzheimer's & Dementia 14 (12), 1623-1631, 2018 | 42 | 2018 |
| A tutorial on time-evolving dynamical Bayesian inference T Stankovski, A Duggento, PVE McClintock, A Stefanovska The European Physical Journal Special Topics 223, 2685-2703, 2014 | 41 | 2014 |
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome Tor VergataVerified email at med.uniroma2.it
