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| 1 | Mean platelet volume and the extent of coronary artery disease: Results from a large prospective study显示文摘 | Giuseppe De Luca Matteo Santagostino Gioel Gabrio Secco Ettore Cassetti Livio Giuliani Elena Franchi Lorenzo Coppo Sergio Iorio Luca Venegoni Elisa Rondano Gabriele Dell’Era Claudia Rizzo Patrizia Pergolini Francesco Monaco Giorgio Bellomo Paolo Marino | 2009 | Atherosclerosis2009，，1： | 2 |
| 2 | Mortality and Causes of Death in Celiac Disease in a Mediterranean Area显示文摘 | Mario Cottone Anna Termini Lorenzo Oliva Antonino Magliocco Ciro Marrone Ambrogio Orlando Filippo Pinzone Roberto Di Mitri Matteo Rosselli Aroldo Rizzo Luigi Pagliaro | 1999 | Digestive Diseases and Sciences1999，，12： | 1 |
| 3 | Effects of Particulate Matter on Genomic DNA Methylation Content and iNOS Promoter Methylation显示文摘 | Tarantini Letizia Bonzini Matteo Apostoli Pietro Pegoraro Valeria Bollati Valentina Marinelli Barbara Cantone Laura Rizzo Giovanna Hou Lifang Schwartz Joel Bertazzi Pier Alberto Baccarelli Andrea | 2009 | Environmental Health Perspectives2009，，： | 1 |
| 4 | Is post-transplant chemotherapy feasible in liver transplantation for colorectal cancer liver metastases?显示文摘Dear Editor:In the last two decades,the indications of liver transplantation(LT)for primary and secondary hepatobiliary malignancies have been increasingly expanded.Although this attractive option still represents the“last court of appeal”in cancer patients,the role of LT is well established in hepatocellular carcinoma(HCC),where transplantation has also demonstrated a benefit for selected patients affected by peri-hilar cholangiocarcinoma,intrahepatic cholangiocarcinoma,and neuroendocrine tumors[1].Recently,the interest in LT in liver-limited stage IV colorectal cancer(CRC)has increased due to recent advances in transplantation techniques that have led to a re-evaluation of this approach. | Giovanni Brandi Angela Dalia Ricci Alessandro Rizzo Chiara Zanfi Simona Tavolari Andrea Palloni Stefania De Lorenzo Matteo Ravaioli Matteo Cescon | 2020 | Cancer Communications2020，40，9： | 1 |
| 5 | Dipeptidyl Peptidase-4 Inhibitors in the Elderly: More Benefits or Risks?显示文摘 | Giuseppe Paolisso Matteo Monami Raffaele Marfella Maria Rizzo Edoardo Mannucci | 2012 | Advances in Therapy2012，，3： | 1 |
| 6 | Treatment‐related fatigue with sorafenib, sunitinib and pazopanib in patients with advanced solid tumors: An up‐to‐date review and meta‐analysis of clinical trials显示文摘 | Matteo Santoni Alessandro Conti Francesco Massari Giorgio Arnaldi Roberto Iacovelli Mimma Rizzo Ugo Giorgi Laura Trementino Giuseppe Procopio Giampaolo Tortora Stefano Cascinu | 2015 | Int. J. Cancer2015，，： | 1 |
| 7 | Co‐expression of CD133+/CD44+ in human colon cancer and liver metastasis显示文摘 | Antonia Bellizzi Sinto Sebastian Pasquale Ceglia Matteo Centonze Rosa Divella Elvira Foglia Manzillo Amalia Azzariti Nicola Silvestris Severino Montemurro Cosimo Caliandro Raffaele De Luca Giuseppe Cicero Sergio Rizzo Antonio Russo Michele Quaranta Giovan | 2012 | J. Cell. Physiol2012，，2： | 1 |
| 8 | netmap: Memory Mapped Access To Network Devices显示文摘 | Luigi Rizzo Matteo Landi | 2011 | Computer Communication Review2011，41，04： | 1 |
| 9 | Fruit ripeness classification:A survey显示文摘Fruit is a key crop in worldwide agriculture feeding millions of people.The standard supply chain of fruit products involves quality checks to guarantee freshness,taste,and,most of all,safety.An important factor that determines fruit quality is its stage of ripening.This is usually manually classified by field experts,making it a labor-intensive and error-prone process.Thus,there is an arising need for automation in fruit ripeness classification.Many automatic methods have been proposed that employ a variety of feature descriptors for the food item to be graded.Machine learning and deep learning techniques dominate the top-performing methods.Furthermore,deep learning can operate on raw data and thus relieve the users from having to compute complex engineered features,which are often crop-specific.In this survey,we review the latest methods proposed in the literature to automatize fruit ripeness classification,highlighting the most common feature descriptors they operate on. | Matteo Rizzo Matteo Marcuzzo Alessandro Zangari Andrea Gasparetto Andrea Albarelli | 2023 | Artificial Intelligence in Agriculture2023，，1： | 0 |
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