Srinivas Kudavelly

Affiliations:
  • Samsung Research India, Bangalore, India


According to our database1, Srinivas Kudavelly authored at least 9 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Deep learning based needle tracking in prostate fusion biopsy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Ovarian assessment using deep learning-based 3D ultrasound super resolution.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep Learning Based Fetal Face Detection And Visualization In Prenatal Ultrasound.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Rigid and deformable corrections in real-time using deep learning for prostate fusion biopsy.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Automated detection and segmentation of follicles in 3D ultrasound for assisted reproduction.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018


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