Novel Angiogenic Functional Targets Predicted through "Dark Matter" Assessment in Protein Networks. - Ian Morilla; Miguel Angel Medina; Juan A. G. Ranea (JBI, 2010)

Finding the "Dark Matter" in Human and Yeast Protein Network Prediction and Modelling. - Juan A. G. Ranea; Ian Morilla; Jonathan G. Lees; Adam James Reid; Corin Yeats; Andrew B. Clegg; Francisca Sánchez-Jiménez; Christine A. Orengo (PLoS Comput. Biol., 2010)

FUN-L: gene prioritization for RNAi screens. - Jonathan G. Lees; Jean-Karim Hériché; Ian Morilla; José María Fernández 001; Priit Adler; Martin Krallinger; Jaak Vilo; Alfonso Valencia; Jan Ellenberg; Juan A. G. Ranea; Christine A. Orengo (Bioinform., 2015)

Scores of Intestinal Fibrosis from Wavelet-Based Magnetic Resonance Imaging Models. - Ian Morilla; Sabrina Doblas; Philippe Garteiser; Magaly Zappa; Eric Ogier-Denis (IWBBIO (1), 2017)

A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models. - Ian Morilla (Neural Comput. Appl., 2020)

GeoTop: Advancing Image Classification with Geometric-Topological Analysis. - Mariem Abaach; Ian Morilla (CoRR, 2023)

Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction. - Fatma Gouiaa; Kelly L. Vomo-Donfack; Alexy Tran-Dinh; Ian Morilla (Comput. Biol. Medicine, 2024)