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| 1 | A review on marine immunomodulators显示文摘 | Vikrant A Gupta V K | 2011 | International Journal of Pharmacy and Life Sciences2011，2，5： | 1 |
| 2 | Prevention of experimental diabetic cataract by Indian Ayurvedic plant extracts显示文摘 | Rathi SS Grover JK Vikrant V | 2002 | Phytother Res2002，16，8： | 1 |
| 3 | Pre- vention of experimental diabetic cataract by Indian Ayurvedic plant extracts 显示文摘 | RATHI S S GROVER J K VIKRANT V | 2002 | Phytother Res2002，16，8： | 1 |
| 4 | Preventionof experimental diabetic cataract by Indian ayurvedic plantextracts 显示文摘 | RATHI S S GROVER J K VIKRANT V | 2002 | Phytotherapy Research2002，16，6： | 1 |
| 5 | Treatment with extracts of Momordica charantia and Eugenia jambolana prevents hyperglycemia and hyperinsulinemia in fructose fed rats显示文摘 | Grover JK Tandon N | 2001 | J Ethnopharmacol2001，76，2： | 1 |
| 6 | Treatment with extracts of Momordica charantia and Eugenia jambolana preventshyperglycemia and hyperinsulinemia in fructose fed rat显示文摘 | Vikrant V Gupta JK Tandon N | 2001 | J Ethnopharmacol2001，76，2： | 1 |
| 7 | Treatment with extracts of momordica charantia and eugenia iambolana prevents hyperglycemia and hyperinsulinemia in fructose fed rats 显示文摘 | Vikrant V Grover JK Tandon N | 2001 | J Ethnopharmacol2001，76，2： | 1 |
| 8 | Prevention of experimental diabetic cataract by Indian Ayurvedic plant extracts显示文摘 | Rathi SS Grover JK Vikrant V | 2002 | Phytother Res2002，16，8： | 1 |
| 9 | Prevention of experimental diabetic cataract by Indian Ayurvedic plant extracts显示文摘 | Grover JK Vikrant V | 2002 | Phytotherapy Research2002，16，： | 1 |
| 10 | The effect of Momordica chatantiaand Mucuna pruriens in experimental diabetes and their effect onkey metabolic enzymes involved in carbohydrate metabolism显示文摘 | Rathi SS Grover JK Vikrant V | 2002 | Phytother Res2002，16，3： | 1 |
| 11 | Mechanical properties and rheological behavior of Poly (butylene terephthalate )/clay nanocomposites with different organoclays 显示文摘 | JITENDRA S N VIKRANT V S | 2001 | J Appl Polym Sci2001，119，： | 1 |
| 12 | A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks显示文摘Sperm identification and selection is an essential task when processing human testicular samples for in vitro fertilization.Locating and identifying sperm cell(s)in human testicular biopsy samples is labor intensive and time consuming.We developed a new computer-aided sperm analysis(CASA)system,which utilizes deep learning for near human-level performance on testicular sperm extraction(TESE),trained on a custom dataset.The system automates the identification of sperm in testicular biopsy samples.A dataset of 702 de-identified images from testicular biopsy samples of 30 patients was collected.Each image was normalized and passed through glare filters and diffraction correction.The data were split 80%,10%,and 10%into training,validation,and test sets,respectively.Then,a deep object detection network,composed of a feature extraction network and object detection network,was trained on this dataset.The model was benchmarked against embryologists’performance on the detection task.Our deep learning CASA system achieved a mean average precision(mAP)of 0.741,with an average recall(AR)of 0.376 on our dataset.Our proposed method can work in real time;its speed is effectively limited only by the imaging speed of the microscope.Our results indicate that deep learning-based technologies can improve the efficiency of finding sperm in testicular biopsy samples. | Daniel J Wu Odgerel Badamjav Vikrant V Reddy Michael Eisenberg Barry Behr | 2021 | Asian Journal of Andrology2021，23，2： | 0 |
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