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| 1 | Imaging and radiological interventions in extra-hepatic portal vein obstruction显示文摘Extrahepatic portal vein obstruction(EHPVO) is a primary vascular condition characterized by chronic long standing blockage and cavernous transformation of portal vein with or without additional involvement of intrahepatic branches, splenic or superior mesenteric vein. Patients generally present in childhood with multiple episodes of variceal bleed and EHPVO is the predominant cause of paediatric portal hypertension(PHT) in developing countries. It is a pre-hepatic type of PHT in which liver functions and morphology are preserved till late. Characteristic imaging findings include multiple parabiliary venous collaterals which form to bypass the obstructed portal vein with resultant changes in biliary tree termed portal biliopathy or portal cavernoma cholangiopathy. Ultrasound with Doppler, computed tomography, magnetic resonance cholangiography and magnetic resonance portovenography are non-invasive techniques which can provide a comprehensive analysis of degree and extent of EHPVO, collaterals and bile duct abnormalities. These can also be used to assess in surgical planning as well screening for shunt patency in post-operative patients. The multitude of changes and complications seen in EHPVO can be addressed by various radiological interventional procedures. The myriad of symptoms arising secondary to vascular, biliary, visceral and neurocognitive changes in EHPVO can be managed by various radiological interventions like transjugular intra-hepatic portosystemic shunt, percutaneous transhepatic biliary drainage, partial splenic embolization, balloon occluded retrograde obliteration of portosystemic shunt(PSS) and revision of PSS. | Sudheer S Pargewar Saloni N Desai S Rajesh Vaibhav P Singh Ankur Arora Amar Mukund | 2016 | World Journal of Radiology2016，8，6： | 8 |
| 2 | An axiomatization of event structures显示文摘 | Mukund M Thiagarajan P S | 1989 | Lecture Notes in Computer Science1989，405，： | 1 |
| 3 | Lanthanide Lewis acid-mediated enantioselective conjugate radical additions显示文摘 | Shankar Manyem | 2002 | Org Lett2002，4，17： | 1 |
| 4 | Logical characterization of well branching event structures显示文摘 | Mukund M Thiagarajan P S | 1992 | Theoretical Computer Science1992，96，： | 1 |
| 5 | Turbulent drag reduction using riblets on a supercritical airfoil at transonic speeds显示文摘 | VISWANATH P R MUKUND R | 1995 | AIAA Journal1995，33，5： | 1 |
| 6 | Impact toughness in AI-12Si and AI-12Si-3Cu cast alloys-Part l:Effect of process variables and microstructure 显示文摘 | Basavakumar K G Mukund P G Chakraborty M | 2008 | International Jour- nal of Impact Engineering2008，35，： | 1 |
| 7 | Chemoselective dieckmann-like condensations using N-methoxy-N-methylamides 显示文摘 | Mukund P Sibi James W | 1995 | Tet- rahedron Letters1995，36，35： | 1 |
| 8 | Production of naringinase from a new soil isolate, Bacillus methylotrophicus: isolation, optimization and scale-up studies显示文摘 | Mukund P Belur PD Saidutta M | 2014 | Preparative Biochemistry and Biotechnology2014，44，2： | 1 |
| 9 | Synthesis of NBOC-D-diphenylalanine from L-serine Methyl Ester Hydrochloride 显示文摘 | Mukund P Sibi Prasad K Deshpande | 1995 | Tetrahedron Lett1995，36，： | 1 |
| 10 | Spectroscopic characterization of the tungsten and iron-sulfur centers in aldehyde ferredoxin oxidoreductases from two hyperthermophilic archaea显示文摘 | Koehler B P Mukund S Conover R C | 1996 | J Am Chem Soc1996，118，12： | 1 |
| 11 | Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions显示文摘Artificial intelligence(AI)-based tools have ushered in a new era of innovation in the field of gastrointestinal(GI)endoscopy.Despite vast improvements in endoscopic techniques and equipment,diagnostic endoscopy remains heavily operator-dependent,in particular,colonoscopy and endoscopic ultrasound(EUS).Recent reports have shown that as much as 25%of colonic adenomas may be missed at colonoscopy.This can result in an increased incidence of interval colon cancer.Similarly,EUS has been shown to have high inter-observer variability,overlap in diagnoses with a relatively low specificity for pancreatic lesions.Our understanding of Machine-learning(ML)techniques in AI have evolved over the last decade and its application in AI–based tools for endoscopic detection and diagnosis is being actively investigated at several centers.ML is an aspect of AI that is based on neural networks,and is widely used for image classification,object detection,and semantic segmentation which are key functional aspects of AI-related computer aided diagnostic systems.In this review,current status and limitations of ML,specifically for adenoma detection and endosonographic diagnosis of pancreatic lesions,will be summarized from existing literature.This will help to better understand its role as viewed through the prism of real world application in the field of GI endoscopy. | Harshavardhan Rao B Judy A Trieu Priya Nair Gilad Gressel Mukund Venu Rama P Venu | 2022 | Artificial Intelligence in Gastrointestinal Endoscopy2022，3，3： | 1 |
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