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Ian Morilla
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2020 – today
- 2024
- [j4]Fatma Gouiaa, Kelly L. Vomo-Donfack, Alexy Tran-Dinh, Ian Morilla:
Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction. Comput. Biol. Medicine 169: 107969 (2024) - 2023
- [i1]Mariem Abaach, Ian Morilla:
GeoTop: Advancing Image Classification with Geometric-Topological Analysis. CoRR abs/2311.16157 (2023) - 2020
- [j3]Ian Morilla:
A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models. Neural Comput. Appl. 32(18): 14865-14874 (2020)
2010 – 2019
- 2017
- [c2]Ian Morilla, Sabrina Doblas, Philippe Garteiser, Magaly Zappa, Eric Ogier-Denis:
Scores of Intestinal Fibrosis from Wavelet-Based Magnetic Resonance Imaging Models. IWBBIO (1) 2017: 569-578 - 2015
- [j2]Jonathan G. Lees, Jean-Karim Hériché, Ian Morilla, José María Fernández, Priit Adler, Martin Krallinger, Jaak Vilo, Alfonso Valencia, Jan Ellenberg, Juan A. G. Ranea, Christine A. Orengo:
FUN-L: gene prioritization for RNAi screens. Bioinform. 31(12): 2052-2053 (2015) - 2010
- [j1]Juan A. G. Ranea, Ian Morilla, Jonathan G. Lees, Adam James Reid, Corin Yeats, Andrew B. Clegg, Francisca Sánchez-Jiménez, Christine A. Orengo:
Finding the "Dark Matter" in Human and Yeast Protein Network Prediction and Modelling. PLoS Comput. Biol. 6(9) (2010) - [c1]Ian Morilla, Miguel Angel Medina, Juan A. G. Ranea:
Novel Angiogenic Functional Targets Predicted through "Dark Matter" Assessment in Protein Networks. JBI 2010: 89-93
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