Cesare Furlanello

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 9

Top Topics

Natural Killer Cells

Machine Learning

Electronic Health Record

Top Venues

Nature biotechnology

Sensors (Basel, Switzerland)

Journal of clinical medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Gianpaolo Alvari, Cesare Furlanello, Paola Venuti
Is Smiling the Key? Machine Learning Analytics Detect Subtle Patterns in Micro-Expressions of Infants with ASD. Journal of clinical medicine 10 (8) (2021)
Gabriele Franch, Valerio Maggio, Luca Coviello, Marta Pendesini, Giuseppe Jurman, Cesare Furlanello
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting. Scientific data 7 (1) (2020)
Ombretta Melaiu, Marco Chierici, Valeria Lucarini, Giuseppe Jurman, Libenzio Adrian Conti, Rita De Vito, Renata Boldrini, Loredana Cifaldi, Aurora Castellano, Cesare Furlanello, Vincenzo Barnaba, Franco Locatelli, Doriana Fruci
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma. Nature communications 11 (1) (2020)
Andrea Bizzego, Giulio Gabrieli, Cesare Furlanello, Gianluca Esposito
Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals. Sensors (Basel, Switzerland) 20 (23) (2020)
Isotta Landi, Benjamin Scott Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T Dudley, Cesare Furlanello, Riccardo Miotto
Deep representation learning of electronic health records to unlock patient stratification at scale. NPJ digital medicine 3 (2020)
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 computational biology 15 (3) (2019)
Leming Shi, Rebecca Kusko, Russell D Wolfinger, Benjamin Haibe-Kains, Matthias Fischer, Susanna-Assunta Sansone, Christopher E Mason, Cesare Furlanello, Wendell D Jones, Baitang Ning, Weida Tong
The international MAQC Society launches to enhance reproducibility of high-throughput technologies. Nature biotechnology 35 (12) (2019)
Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori
Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. Sensors (Basel, Switzerland) 18 (10) (2018)
Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma. PloS one 13 (12) (2018)
Charles Wang, Binsheng Gong, Pierre R Bushel, Jean Thierry-Mieg, Danielle Thierry-Mieg, Joshua Xu, Hong Fang, Huixiao Hong, Jie Shen, Zhenqiang Su, Joe Meehan, Xiaojin Li, Lu Yang, Haiqing Li, Paweł P Łabaj, David P Kreil, Dalila Megherbi, Stan Gaj, Florian Caiment, Joost van Delft, Jos Kleinjans, Andreas Scherer, Viswanath Devanarayan, Jian Wang, Yong Yang, Hui-Rong Qian, Lee J Lancashire, Marina Bessarabova, Yuri Nikolsky, Cesare Furlanello, Marco Chierici, Davide Albanese, Giuseppe Jurman, Samantha Riccadonna, Michele Filosi, Roberto Visintainer, Ke K Zhang, Jianying Li, Jui-Hua Hsieh, Daniel L Svoboda, James C Fuscoe, Youping Deng, Leming Shi, Richard S Paules, Scott S Auerbach, Weida Tong
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance. Nature biotechnology 32 (9) (2014)