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| 1 | Mycobacterium fortuitum prosthetic valve endocarditis : a case for the pathogenetic role of biofilms显示文摘 | Bosio S Leekha S Gamb SI | 2012 | Card- iovasc Patho12012，21，4： | 1 |
| 2 | Detecting boundaries for surface reconstruction using co-cons显示文摘 | Dey T K Giesen J Leekha N | 2001 | Int J Comput Graph CAD/CAM2001，，16： | 1 |
| 3 | Detecting boundaries for surface reconstruction using co-cone显示文摘 | Dey T K Giesen J Leekha N | 2001 | Intl J Computer Graphics&CAD/CAM2001，16，： | 1 |
| 4 | The importance of colonization with Clostridium difficile on infection and transmission显示文摘 | Morgan DJ Leekha S Croft L | 2015 | Curr Infect Dis Rep2015，17，9： | 1 |
| 5 | Mycobacterium fortuitum prosthetic valve endocarditis: a case for the pathogenetic role of biofilms显示文摘 | Bosio S Leekha S Gamb S | 2012 | Cardiovasc Pathol2012，21，4： | 1 |
| 6 | General principles of antimicrobial therapy 显示文摘 | Leekha S Terrell CL Edson RS | 2011 | Mayo Clin Proc2011，86，2： | 1 |
| 7 | Should national standards for reporting surgical site infections distinguish between primary and revision orthopedic surgeries? 显示文摘 | Leekha S Sampathkumar P Berry DJ | 2010 | Infect Control Hosp Epidemiol2010，31，5： | 1 |
| 8 | Risk factors for central line-associated bloodstream infections in the era of best practice显示文摘 | Lissauer M E Leekha S Preas M A | 2012 | J Trauma Acute Care Surg2012，72，： | 1 |
| 9 | General principles of antimicrobial therapy显示文摘 | Leekha S Terrell CL Edson RS | | 0，，： | 1 |
| 10 | Rapid testing using the veri-gene gram-negative blood culture nucleic acid test in combinationwith antimicrobial stewardship intervention against Gram-negativebacteremia 显示文摘 | Bork JT Leekha S Heil EL | 2015 | Antimicrob Agents Chemother2015，59，3： | 1 |
| 11 | Relevance of Influenza A Virus Detection by PCR, Shell Vial Assay, and Tube Cell Culture to Rapid Reporting Procedures 显示文摘 | Zitterkopf NL Leekha S Espy MJ | 2006 | J Clin Microbiol2006，44，9： | 1 |
| 12 | Risk factors for central line-associated bloodstream infections in the are of best practice显示文摘 | Matthew E Lissauer MD Surbhi Leekha | 2012 | Trauma2012，72，5： | 1 |
| 13 | Transfer Learning Model to Indicate Heart Health Status Using Phonocardiogram显示文摘The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension,irregular cardiac functioning,and heart failure.Machine-based learning of heart sound is an efficient technology which can help minimize the workload of manual auscultation by automatically identifying irregular cardiac sounds.Phonocardiogram(PCG)and electrocardiogram(ECG)waveforms provide the much-needed information for the diagnosis of these diseases.In this work,the researchers have converted the heart sound signal into its corresponding repeating pattern-based spectrogram.PhysioNet 2016 and PASCAL 2011 have been taken as the benchmark datasets to perform experimentation.The existing models,viz.MobileNet,Xception,Visual Geometry Group(VGG16),ResNet,DenseNet,and InceptionV3 of Transfer Learning have been used for classifying the heart sound signals as normal and abnormal.For PhysioNet 2016,DenseNet has outperformed its peer models with an accuracy of 89.04 percent,whereas for PASCAL 2011,VGG has outperformed its peer approaches with an accuracy of 92.96 percent. | Vinay Arora Karun Verma Rohan Singh Leekha Kyungroul Lee Chang Choi Takshi Gupta Kashish Bhatia | 2021 | Computers, Materials & Continua2021，，12： | 0 |
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