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| 1 | Cystic tumors of the liver:A practical approach显示文摘Biliary cyst tumors(cystadenoma and cystadeno-carcinoma) are an indication for liver resection. They account for only 5% of all solitary cystic lesions of the liver,but differential diagnosis with multiloculated or complicated biliary cysts,atypical hemangiomas,hamartomas and lymphangiomas may be difficult. The most frequent challenge is to differentiate biliary cyst tumors from hemorrhagic cysts. Computerized tomography(CT) and magnetic resonance imaging(MRI) are often not diagnostic and in these cases fine needle aspiration(FNA) is used to confirm the presence of atypical biliary cells. FNA,however,lacks adequate sensitivity and specificity and should always be used in conjunction with imaging. Pre-operative differentiation of cystadenoma from cystadenocarcinoma is impossible and surgery must be performed if a biliary cyst tumor is suspected. When multiple cystic lesions are observed throughout the liver parenchyma,it is important to exclude liver metastasis,of which colonic cancer is the most common primary site. Multiple biliary hamartomas(von Meyenburg complex) can appear as a mixture of solid and cystic lesions and can be confused with cystic metastasis. Strong and uniform T2 hyperintensity on MRI is usually diagnostic,but occasionally a percutaneous biopsy may be required. | Paolo Del Poggio Marco Buonocore | 2008 | World Journal of Gastroenterology2008，14，23： | 20 |
| 2 | Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review显示文摘The paper reviews and extends an emerging body of theoretical results on deep learning including the conditions under which it can be exponentially better than shallow learning. A class of deep convolutional networks represent an important special case of these conditions, though weight sharing is not the main reason for their exponential advantage. Implications of a few key theorems are discussed, together with new results, open problems and conjectures. | Tomaso Poggio Hrushikesh Mhaskar Lorenzo Rosasco Brando Miranda Qianli Liao | 2017 | International Journal of Automation and computing2017，14，5： | 6 |
| 3 | Is transient elastography a useful tool for screening liver disease?显示文摘Transient elastography(TE)is a new non invasive tool for measuring liver stiffness,which is correlated to the histologic stage of liver fibrosis.Several studies in chronic liver disease(CLD)have determined a good accuracy of TE in predicting significant fibrosis and an optimal accuracy in predicting cirrhosis.Normal liver stiffness ranges between 3.3-7.8 KPa and using a cut off of 7.1 KPa,significant fibrosis and cirrhosis can be excluded with a very high negative predictive value(NPV).Positive predictive value(PPV)for the diagnosis of cirrhosis is lower using just a single scan but increases to 90% if high stiffness values are confirmed by a second independent scan.However the presence of fatty liver and metabolic syndrome slightly increases the readings and may reduce the accuracy of the test.It is uncertain if this increase is related to the presence of steatofibrosis or ifit is caused by steatosis itself.TE can be used in screening patients attending the liver clinics to identify those with signifi cant fi brosis or cirrhosis and may be particularly useful in discriminating HBV inactive carriers from chronic hepatitis B patients.TE,however,is not reliable in predicting the presence of esophageal varices in cirrhotics.Another potential indication for TE is the systematic screening of populations at high risk for CLD,such as intravenous drug users and alcoholics,but further studies are needed to determine its diagnostic accuracy in these settings. | Paolo Del Poggio Silvia Colombo | 2009 | World Journal of Gastroenterology2009，15，12： | 5 |
| 4 | Low-dose tenofovir is more potent than adefovir and is effective in controlling HBV viremia in chronic HBeAg-negative hepatitis B显示文摘AIM: To study the efficacy of tenofovir disoproxil fumarate (TDF) at low dose in a small open trial of chronic hepatitis B patients with advanced stage disease. METHODS: Eleven patients were treated with TDF 75 mg for a median period of 80 (range, 24-576) wk and then 7 cases were shifted to an adefovir 10 mg treatment group. All patients had been pre-treated with lamivudine: 5 had YMDD resistant mutants and 6 wild- type virus. When TDF was started, 4 patients had low- level viremia and 6 were PCR-negative. RESULTS: During TDF treatment, PCR remained negative in 10 patients, transaminase levels were normal and no significant viral breakthrough was observed. The drug was well tolerated in all cases. When TDF 75 mg was substituted with adefovir 10 mg, 3 out of 7 patients had a persistent viral rebound (2700-130 000 copies/mL), in whom lamivudine had to be reintroduced. CONCLUSION: Low-dose TDF monotherapy can control HBV viremia for an extended period of time without the emergence of resistance and is more potent than adefovir at the standard dosage. The use of a reduced dose of TDF could diminish the cost of therapy in low-income countries, but further studies in a larger population and in HBeAg-positive subjects are needed. | Paolo Del Poggio Maurizio Zaccanelli Maria Oggionni Silvia Colombo Carlo Jamoletti Vesna Puhalo | 2007 | World Journal of Gastroenterology2007，13，30： | 3 |
| 5 | Head-to-head comparison of transient elastography (TE), real-time tissue elastography (RTE), and acoustic radiation force impulse (ARFI) imaging in the diagnosis of liver fibrosis显示文摘 | Silvia Colombo Marco Buonocore Anna Poggio Carlo Jamoletti Stefano Elia Mario Mattiello Davide Zabbialini Paolo Poggio | 2012 | Journal of Gastroenterology2012，，4： | 2 |
| 6 | Barcelona Clinic Liver Cancer staging and transplant survival benefit for patients with hepatocellular carcinoma: a multicentre, cohort study显示文摘 | Alessandro Vitale Rafael Ramirez Morales Giacomo Zanus Fabio Farinati Patrizia Burra Paolo Angeli Anna Chiara Frigo Paolo Del Poggio Gianludovico Rapaccini Maria Anna Di Nolfo Luisa Benvegnù Marco Zoli Franco Borzio Edoardo Giovanni Giannini Eugenio Catur | 2011 | Lancet Oncology2011，，7： | 2 |
| 7 | Face recognition: features versus templates 显示文摘 | Brunelli R Poggio T | 1993 | IEEE Transactions on Pattern Analysis and Machine Intelligence1993，15，10： | 1 |
| 8 | Incremental and Decremental Support Vector Machine显示文摘 | Poggio T | 2001 | Machine Learning2001，44，13： | 1 |
| 9 | A comparison of laparoscopic and open cholecystectomy in patients with compensated cirrhosis and symptomatic gallstone disease显示文摘 | Poggio JL | 2000 | Surgery2000，127，： | 1 |
| 10 | Feature recognition:features versus template显示文摘 | BRUNELLI R POGGIO T | 1993 | IEEE Transactions on PAMI1993，15，： | 1 |
| 11 | Synthesizing a Color Algorithm from Examples显示文摘 | Hulbert A and Poggio T | 1998 | Science1998，239，： | 1 |
| 12 | Profile and prevalence of aspirin resistance in patients with cardiovascular disease显示文摘 | Gum PA Kottke-Marchant K Poggio ED | 2001 | Am J Cardiol2001，188，3： | 1 |
| 13 | Profile and prevalence of aspirin resistance in patients with cardiovascular disease 显示文摘 | Gum PA Kottke-Marchant K Poggio ED | 2001 | AmJCardiol2001，88，3： | 1 |
| 14 | Example-based learning for view-based human face detection 显示文摘 | Sung K Poggio T | 1998 | IEEE Trans PAMI1998，20，1： | 1 |
| 15 | Example-based learning for viewedbased human face detection显示文摘 | SUNG K K POGGIO T | 1998 | IEEE Transactions on Pattern Analysis and Machine Intelligence1998，20，1： | 1 |
| 16 | Profile and prevalence of aspirin resistance in patients with cardiovascular disease显示文摘 | Gum PA Kottke-Marchant K Poggio ED | 2001 | Am J Cardiol2001，88，3： | 1 |
| 17 | A component-based frame- work for face detection and identification显示文摘 | B Heisele T Serre T Poggio | 2007 | International Journal of Computer Vision2007，74，2： | 1 |
| 18 | Face recognition:Feature versus templates显示文摘 | Berto R Poggio T | 1993 | IEEE Trans on PAMI1993，15，10： | 1 |
| 19 | A Probabilistic Approach to River Network Detection in Digital Elevation Models显示文摘 | POGGIO L SOILLE P | 2011 | Catena2011，87，3： | 1 |
| 20 | A trainable system for objeet detection 显示文摘 | PAPAGEORG1OU C POGGIO T | 2000 | International Journal of Computer Vision2000，，38： | 1 |
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