A deep learning model to predict RNA-Seq expression of tumours from whole slide images B Schmauch, A Romagnoni, E Pronier, C Saillard, P Maillé, J Calderaro, ... Nature communications 11 (1), 3877, 2020 | 301 | 2020 |

(In) visible Z′ and dark matter E Dudas, Y Mambrini, S Pokorski, A Romagnoni Journal of High Energy Physics 2009 (08), 014, 2009 | 137 | 2009 |

Two-loop renormalization for nonanticommutative N= 1/2 supersymmetric WZ model MT Grisaru, S Penati, A Romagnoni Journal of High Energy Physics 2003 (08), 003, 2003 | 123 | 2003 |

Renormalizability of 𝒩= 1/2 Wess-Zumino model in superspace A Romagnoni Journal of High Energy Physics 2003 (10), 016, 2003 | 110 | 2003 |

Extra U (1) as natural source of a monochromatic gamma ray line E Dudas, Y Mambrini, S Pokorski, A Romagnoni Journal of High Energy Physics 2012 (10), 1-13, 2012 | 101 | 2012 |

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data A Romagnoni, S Jégou, K Van Steen, G Wainrib, JP Hugot Scientific reports 9 (1), 10351, 2019 | 89 | 2019 |

Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation M Di Volo, A Romagnoni, C Capone, A Destexhe Neural computation 31 (4), 653-680, 2019 | 82 | 2019 |

Higgs decay with monophoton+ signature from low scale supersymmetry breaking C Petersson, A Romagnoni, R Torre Journal of High Energy Physics 2012 (10), 1-25, 2012 | 63 | 2012 |

Covariant quantization of N= ˝ SYM theories and supergauge invariance S Penati, A Romagnoni Journal of High Energy Physics 2005 (02), 064, 2005 | 54 | 2005 |

Gauge vs. gravity mediation in models with anomalous U (1)'s E Dudas, Y Mambrini, S Pokorski, A Romagnoni, M Trapletti Journal of High Energy Physics 2009 (03), 011, 2009 | 50 | 2009 |

Non (anti) commutative SYM theory: Renormalization in superspace MT Grisaru, S Penati, A Romagnoni Journal of High Energy Physics 2006 (02), 043, 2006 | 45 | 2006 |

Moduli stabilization with Fayet-Iliopoulos uplift E Dudas, Y Mambrini, S Pokorski, A Romagnoni Journal of High Energy Physics 2008 (04), 015, 2008 | 44 | 2008 |

The MSSM Higgs sector with a dynamical goldstino supermultiplet C Petersson, A Romagnoni Journal of High Energy Physics 2012 (2), 1-23, 2012 | 38 | 2012 |

Liberating Higgs couplings in supersymmetry C Petersson, A Romagnoni, R Torre Physical Review D 87 (1), 013008, 2013 | 30 | 2013 |

Nonanticommutative superspace and N= 1/2 WZ model MT Grisaru, S Penati, A Romagnoni Classical and Quantum Gravity 21 (10), S1391, 2004 | 30 | 2004 |

International Inflammatory Bowel Disease Genetics Consortium (IIBDGC). Comparative performances of machine learning methods for classifying Crohn Disease patients using genome … A Romagnoni, S Jégou, K Van Steen, G Wainrib, JP Hugot Sci. Rep 9, 10351, 2019 | 20 | 2019 |

State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons C Capone, M Di Volo, A Romagnoni, M Mattia, A Destexhe Physical Review E 100 (6), 062413, 2019 | 17 | 2019 |

Pinwheel-dipole configuration in cat early visual cortex J Ribot, A Romagnoni, C Milleret, D Bennequin, J Touboul NeuroImage 128, 63-73, 2016 | 16 | 2016 |

Transcriptomic learning for digital pathology B Schmauch, A Romagnoni, E Pronier, C Saillard, P Maillé, J Calderaro, ... BioRxiv, 760173, 2019 | 10 | 2019 |

Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics A Romagnoni, MT Colonnese, JD Touboul, BS Gutkin Journal of neurophysiology 123 (5), 1583-1599, 2020 | 9 | 2020 |