Marco Chierici

15 papers C 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bottlenecks in advancing and applying multiomic data integration - common data resources as rate-limiting drivers - the high-impact use case of atherosclerotic cardiovascular disease.
Briefings Bioinform.
Stephanie Bezzina Wettinger, Kanita Karaduzovic-Hadziabdic, Ritienne Attard, Rosienne Farrugia, Brooke N. Wolford, Marco Chierici, Giuseppe Jurman, Panagiotis Alexiou, José L. Peñalvo, Rafael S. Costa, José Basilio, Frantisek Sabovcik, Rui Vitorino, Johannes A. Schmid, Rajesh Shigdel, Baiba Vilne, Artemis G. Hatzigeorgiou, Miron Sopic, Yvan Devaux, Paolo Magni, Maria Tellez-Plaza, David P. Kreil, Aleksandra Gruca
2025 J jnl
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.
Briefings Bioinform.
Jordi Martorell-Marugan, Raúl López-Domínguez, Juan Antonio Villatoro-García, Daniel Toro-Domínguez, Marco Chierici, Giuseppe Jurman, Pedro Carmona-Saez
2023 J jnl
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data.
Comput. Biol. Medicine
Jordi Martorell-Marugan, Marco Chierici, Giuseppe Jurman, Marta E. Alarcón-Riquelme, Pedro Carmona-Saez
2023 J jnl
Endoscopy-based IBD identification by a quantized deep learning pipeline.
BioData Min.
Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman
2022 J jnl
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging.
BMC Medical Informatics Decis. Mak.
Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman
2021 — conf
Cyst segmentation on kidney tubules by means of U-Net deep-learning models.
IEEE BigData
Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola
2019 J jnl
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.
PLoS Comput. Biol.
Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019 C conf
Integrating deep and radiomics features in cancer bioimaging.
CIBCB
Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
2018 J jnl
Phylogenetic convolutional neural networks in metagenomics.
BMC Bioinform.
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017 J jnl
A multiobjective deep learning approach for predictive classification in Neuroblastoma.
CoRR
Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017 J jnl
Phylogenetic Convolutional Neural Networks in Metagenomics.
CoRR
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2009 J jnl
Fast algorithms for nonparametric population modeling of large data sets.
Autom.
Gianluigi Pillonetto, Giuseppe De Nicolao, Marco Chierici, Claudio Cobelli
2008 J jnl
Machine learning methods for predictive proteomics.
Briefings Bioinform.
Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello
2007 C conf
Efficient Nonparametric Population Modeling for Large Data Sets.
ACC
Giuseppe De Nicolao, Gianluigi Pillonetto, Marco Chierici, Claudio Cobelli
2006 — conf
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable.
EMBC
Marco Chierici, Gianluigi Pillonetto, Gianna Toffolo, Claudio Cobelli