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Venkata Suryanarayana K.

Kadimesetty Venkata Suryanarayana

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affiliation: Samsung R&D Institute, Bangalore, India

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2021
[c6]
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  - conf/embc/BhardwajMSSSKSK21
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Aditya Bhardwaj, Praful Mathur, Tejal Singh, Venkata Suryanarayana K., Yuri Son, Srinivas Rao Kudavelly, Sangha Song, Hokyung Kang:
An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning. EMBC 2021: 2993-2996
[c5]
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Chaitanya Mehta, Bibi Ayeesha, Ayesha Sotakanal, Nirmala S. R, Shrinivas D. Desai, Venkata Suryanarayana K., Ashes Dhanna Ganguly, Veerendra Shetty:
Deep Learning Framework for Automatic Bone Age Assessment. EMBC 2021: 3093-3096
[c4]
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Diplav Srivastava, Saumya Gupta, Srinivas Kudavelly, Kadimesetty Venkata Suryanarayana, G. A. Ramaraju:
Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction. EMBC 2021: 3209-3212
[c3]
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Tejal Singh, Srinivas Rao Kudavelly, Venkata Suryanarayana K.:
Deep Learning Based Fetal Face Detection And Visualization In Prenatal Ultrasound. ISBI 2021: 1760-1763
[c2]
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  - conf/micad/GuptaKKR21
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Saumya Gupta, Venkata Suryanarayana K., Srinivas Rao Kudavelly, G. A. Ramaraju:
Ovarian assessment using deep learning-based 3D ultrasound super resolution. Medical Imaging: Computer-Aided Diagnosis 2021
2016
[c1]
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Venkata Suryanarayana K., Abhishek Mitra, Srikrishnan V., Hyun Hee Jo, Anup Bidesi:
An efficient method for accurate segmentation of LV in contrast-enhanced cardiac MR images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97882E

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