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Sunil Kumar Vengalil

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2020 – today

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2023
[i3]
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  - journals/corr/abs-2307-07703
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Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha:
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. CoRR abs/2307.07703 (2023)
2021
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  - conf/embc/LahotiVVSR21
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Ritu Lahoti, Sunil Kumar Vengalil, Punith B. Venkategowda, Neelam Sinha, Vinod Veera Reddy:
Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network. EMBC 2021: 4111-4114
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Sunil Kumar Vengalil, Neelam Sinha:
Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. PReMI 2021: 529-536
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Sunil Kumar Vengalil, Neelam Sinha:
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. CoRR abs/2109.00479 (2021)
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Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha:
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. CoRR abs/2109.01572 (2021)

2010 – 2019

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2019
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Debanjali Bhattacharya, Sunil Kumar Vengalil, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, M. Sandhya:
Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. TENCON 2019: 441-446

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