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Marco Chierici
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2020 – today
- 2023
- [j8]Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi
, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman:
Endoscopy-based IBD identification by a quantized deep learning pipeline. BioData Min. 16(1) (2023) - [j7]Jordi Martorell-Marugan
, Marco Chierici
, Giuseppe Jurman
, Marta E. Alarcón-Riquelme, Pedro Carmona-Saez
:
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. Comput. Biol. Medicine 152: 106373 (2023) - 2022
- [j6]Marco Chierici
, Nicolae Puica, Matteo Pozzi
, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani
, Giuseppe Jurman:
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC Medical Informatics Decis. Mak. 22-S(6): 300 (2022) - 2021
- [c4]Simone Monaco
, Nicole Bussola, Sara Buttò, Diego Sona
, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola:
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData 2021: 3923-3926
2010 – 2019
- 2019
- [j5]Andrea Bizzego
, Nicole Bussola
, Marco Chierici
, Valerio Maggio
, Margherita Francescatto
, Luca Cima, Marco Cristoforetti
, Giuseppe Jurman
, Cesare Furlanello
:
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Comput. Biol. 15(3) (2019) - [c3]Andrea Bizzego
, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio
, Giuseppe Jurman
, Cesare Furlanello:
Integrating deep and radiomics features in cancer bioimaging. CIBCB 2019: 1-8 - 2018
- [j4]Diego Fioravanti, Ylenia Giarratano, Valerio Maggio
, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
Phylogenetic convolutional neural networks in metagenomics. BMC Bioinform. 19-S(2): 49:1-49:13 (2018) - 2017
- [i2]Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
Phylogenetic Convolutional Neural Networks in Metagenomics. CoRR abs/1709.02268 (2017) - [i1]Valerio Maggio
, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
A multiobjective deep learning approach for predictive classification in Neuroblastoma. CoRR abs/1711.08198 (2017) - 2014
- [j3]The Fantom Consortium, RIKEN PMII, RIKEN CLST (DGT), Alistair R. R. Forrest, Hideya Kawaji, Michael Rehli, J. Kenneth Baillie, Michiel J. L. de Hoon, Vanja Haberle, Timo Lassmann, Ivan V. Kulakovskiy, Marina Lizio, Masayoshi Itoh, Robin Andersson, Christopher J. Mungall, Terrence F. Meehan, Sebastian Schmeier, Nicolas Bertin, Mette Jørgensen, Emmanuel Dimont, Erik Arner, Christian Schmidl, Ulf Schaefer, Yulia A. Medvedeva
, Charles Plessy, Morana Vitezic
, Jessica Severin, Colin A. M. Semple, Yuri Ishizu, Robert S. Young, Margherita Francescatto, Intikhab Alam
, Davide Albanese, Gabriel M. Altschuler, Takahiro Arakawa, John A. C. Archer, Peter Arner, Magda Babina, Sarah Rennie, Piotr J. Balwierz, Anthony G. Beckhouse, Swati Pradhan-Bhatt, Judith A. Blake, Antje Blumenthal, Beatrice Bodega, Alessandro Bonetti, James Briggs, Frank Brombacher, A. Maxwell Burroughs, Andrea Califano, Carlo V. Cannistraci, Daniel Carbajo, Yun Chen, Marco Chierici
, Yari Ciani
, Hans Clevers, Emiliano Dalla, Carrie A. Davis, Michael Detmar, Alexander D. Diehl, Taeko Dohi, Finn Drabløs, Albert S. B. Edge, Matthias Edinger, Karl Ekwall, Mitsuhiro Endoh, Hideki Enomoto, Michela Fagiolini, Lynsey Fairbairn, Hai Fang, Mary C. Farach-Carson, Geoffrey J. Faulkner, Alexander V. Favorov, Malcolm E. Fisher
, Martin C. Frith, Rie Fujita, Shiro Fukuda, Cesare Furlanello, Masaaki Furuno, Jun-ichi Furusawa, Teunis B. Geijtenbeek, Andrew P. Gibson, Thomas R. Gingeras, Daniel Goldowitz, Julian Gough, Sven Guhl, Reto Guler, Stefano Gustincich, Thomas J. Ha, Masahide Hamaguchi, Mitsuko Hara, Matthias Harbers, Jayson Harshbarger, Akira Hasegawa, Yuki Hasegawa, Takehiro Hashimoto, Meenhard Herlyn, Kelly J. Hitchens, Shannan J. Ho Sui, Oliver M. Hofmann, Ilka Hoof, Fumi Hori, Lukasz Huminiecki, Kei Iida, Tomokatsu Ikawa, Boris R. Jankovic, Hui Jia, Anagha Joshi, Giuseppe Jurman, Bogumil Kaczkowski, Chieko Kai, Kaoru Kaida, Ai Kaiho, Kazuhiro Kajiyama, Mutsumi Kanamori-Katayama, Artem S. Kasianov, Takeya Kasukawa, Shintaro Katayama, Sachi Kato, Shuji Kawaguchi, Hiroshi Kawamoto, Yuki I. Kawamura, Tsugumi Kawashima, Judith S. Kempfle, Tony J. Kenna, Juha Kere
, Levon M. Khachigian, Toshio Kitamura, S. Peter Klinken, Alan J. Knox, Miki Kojima, Soichi Kojima, Naoto Kondo, Haruhiko Koseki, Shigeo Koyasu, Sarah Krampitz, Atsutaka Kubosaki, Andrew T. Kwon, Jeroen F. J. Laros, Weonju Lee, Andreas Lennartsson
, Kang Li, Berit Lilje, Leonard Lipovich, Alan Mackay-Sim, Ri-ichiroh Manabe, Jessica Cara Mar, Benoit Marchand, Anthony Mathelier, Niklas Mejhert, Alison M. Meynert, Yosuke Mizuno, David A. de Lima Morais, Hiromasa Morikawa, Mitsuru Morimoto, Kazuyo Moro, Efthymios Motakis, Hozumi Motohashi, Christine Mummery, Mitsuyoshi Murata, Sayaka Nagao-Sato, Yutaka Nakachi, Fumio Nakahara, Toshiyuki Nakamura, Yukio Nakamura, Kenichi Nakazato, Erik van Nimwegen, Noriko Ninomiya, Hiromi Nishiyori, Shohei Noma, Tadasuke Nozaki, Soichi Ogishima, Naganari Ohkura, Hiroko Ohmiya, Hiroshi Ohno, Mitsuhiro Ohshima, Mariko Okada-Hatakeyama, Yasushi Okazaki, Valerio Orlando, Dmitry A. Ovchinnikov, Arnab Pain, Robert Passier, Margaret Patrikakis, Helena Persson
, Silvano Piazza, James G. D. Prendergast, Owen J. L. Rackham
, Jordan A. Ramilowski, Mamoon Rashid
, Timothy Ravasi, Patrizia Rizzu, Marco Roncador, Sugata Roy, Morten B. Rye, Eri Saijyo, Antti Sajantila, Akiko Saka, Shimon Sakaguchi, Mizuho Sakai, Hiroki Sato, Hironori Sato, Suzana Savvi, Alka Saxena, Claudio Schneider, Erik A. Schultes, Gundula G. Schulze-Tanzil, Anita Schwegmann, Thierry Sengstag, Guojun Sheng, Hisashi Shimoji, Yishai Shimoni, Jay W. Shin, Christophe Simon, Daisuke Sugiyama, Takaaki Sugiyama, Masanori Suzuki, Naoko Suzuki, Rolf K. Swoboda, Peter A. C. 't Hoen, Michihira Tagami, Naoko Takahashi, Jun Takai, Hiroshi Tanaka, Hideki Tatsukawa, Zuotian Tatum, Mark Thompson, Hiroo Toyoda, Tetsuro Toyoda, Eivind Valen, Marc van de Wetering, Linda M. van den Berg, Roberto Verardo, Dipti Vijayan, Ilya E. Vorontsov
, Wyeth W. Wasserman, Shoko Watanabe, Christine A. Wells, Louise N. Winteringham, Ernst Wolvetang, Emily J. Wood, Yoko Yamaguchi, Masayuki Yamamoto, Misako Yoneda, Yohei Yonekura, Shigehiro Yoshida, Susan E. Zabierowski, Peter G. Zhang, Xiaobei Zhao, Silvia Zucchelli, Kim M. Summers, Harukazu Suzuki, Carsten O. Daub, Jun Kawai, Peter Heutink, Winston Hide
, Tom C. Freeman, Boris Lenhard, Vladimir B. Bajic, Martin S. Taylor, Vsevolod J. Makeev, Albin Sandelin, David A. Hume, Piero Carninci, Yoshihide Hayashizaki:
A promoter-level mammalian expression atlas. Nat. 507(7493): 462-470 (2014)
2000 – 2009
- 2009
- [j2]Gianluigi Pillonetto, Giuseppe De Nicolao, Marco Chierici
, Claudio Cobelli:
Fast algorithms for nonparametric population modeling of large data sets. Autom. 45(1): 173-179 (2009) - 2008
- [j1]Annalisa Barla
, Giuseppe Jurman
, Samantha Riccadonna
, Stefano Merler
, Marco Chierici
, Cesare Furlanello
:
Machine learning methods for predictive proteomics. Briefings Bioinform. 9(2): 119-128 (2008) - 2007
- [c2]Giuseppe De Nicolao, Gianluigi Pillonetto, Marco Chierici
, Claudio Cobelli:
Efficient Nonparametric Population Modeling for Large Data Sets. ACC 2007: 2921-2926 - 2006
- [c1]Marco Chierici
, Gianluigi Pillonetto, Gianna Toffolo, Claudio Cobelli:
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable. EMBC 2006: 5045-5048
Coauthor Index
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last updated on 2024-05-08 21:46 CEST by the dblp team
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