Collaboration with Samsung Research Institute (SRI) India and South Korea.
Krishnaivf clinic is a center of excellence in reproductive medicine. From 2006 Krishna IVF moved from 2d to 3d ultrasound, and in 2016 moved from 3d to 4d and 5d ultrasound. The WS80A Elite is a high-resolution premium system designed to meet the needs of women’s healthcare. As pioneers in 3D/4D ultrasound, Samsung continues to advance volumetric imaging with Realistic Vue™ and 5D ultrasound, which are present in WS80. 5D is the logical advancement in volumetric ultrasound, addressing the needs of today’s women’s healthcare professionals. In 2016 Krishnaivfand Samsung research Institute started working together in ultrasound and Artificialintelligence. This led to eleven publication.
Authors |
Title |
Publication |
Volume |
Number |
Pages |
Year |
Publisher |
N. Subbarao , R. G.A. , K.A. Patwardhan, S.R.
Kudavelly; |
EP27. 03: Longitudinal
volumetric analysis of follicular growth |
Ultrasound in Obstetrics &
Gynecology |
50 |
S1 |
384-384 |
2017 |
John Wiley & Sons, Ltd |
Ramaraju, N. Singhal S.R. Kudavelly K. Lakshmi
G.A.; |
Predicting implantation
success using junctional zone assessment in assisted reproduction |
Ultrasound Obstet Gynecol, |
52 |
9 |
Pages: 175 |
2018 |
John Wiley & Sons, Ltd |
N Singhal, SR Kudavelly, K Lakshmi, GA Ramaraju; |
Predicting disruption of the
junctional zone in Caesarean section deliveries |
Ultrasound in Obstetrics &
Gynecology |
52 |
175-175. |
2018 |
John Wiley & Sons, Ltd |
|
Narayan, Nikhil S; Sivanandan, Srinivasan;
Kudavelly, Srinivas; Patwardhan, Kedar A; GA., Ramaraju; |
Automated detection and
segmentation of follicles in 3D ultrasound for assisted reproduction. |
Medical Imaging 2018:
Computer-Aided Diagnosis |
10575 |
10575 |
10575w |
2018 |
International Society for
Optics and Photonics |
G.A. Rama Raju Nitin Singhal, Srinivas
Kudavelly; |
Junctional zone imaging:
quantification of thickness, volume, and degree of deformity. |
Obstetrics & Gynecology |
133 |
Issue 2 |
cover page |
2019 |
Wolters Kluwer |
Dr G.A. Rama Raju, Nitin Singhal, Shubham
Chechani, Srinivas Kudavelly; |
Automated Angle of Progression
and Fetal Head Direction During Labor |
2019 AIUM Convention, April
6‐10, Orlando, FL |
38 |
IssueS1 |
Pages S1-S214 |
2019 |
|
Mathur, Praful; Kakwani, Karan; Kudavelly,
Srinivas; Ramaraju, GA; |
Deep learning based
quantification of ovary and follicles using 3d transvaginal ultrasound in
assisted reproduction |
2020 42nd Annual International
Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
2109-2112 |
2020 |
IEEE |
||
Singhal, Nitin; Kudavelly, Srinivas; Ramaraju,
GA; |
Deep learning based junctional
zone quantification using 3D transvaginal ultrasound in assisted reproduction |
2020 42nd Annual International
Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
2133-2136 |
2020 |
IEEE |
||
Narra, Ravi Teja; Singhal, Nitin; Narayan, Nikhil
S; Ramaraju, GA; |
Automated ovarian volume
quantification in transvaginal ultrasound |
2018 IEEE 15th International
Symposium on Biomedical Imaging (ISBI 2018) |
1513-1516 |
2018 |
IEEE |
||
Gupta, Saumya; Kudavelly, Srinivas Rao; Ramaraju,
GA; |
Ovarian assessment using deep
learning-based 3D ultrasound super resolution |
Medical Imaging 2021:
Computer-Aided Diagnosis |
11597 |
127-137 |
2021 |
SPIE |
|
Srivastava, Diplav; Gupta, Saumya; Kudavelly,
Srinivas; Ga, Ramaraju; |
Unsupervised Deep Learning
based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D
Transvaginal Ultrasound in Assisted Reproduction |
2021 43rd Annual International
Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
3209-3212 |
2021 |
IEEE |