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Bala Chakravarthy Neelapu
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2020 – today
- 2023
- [j4]Usha Rani Kandukuri, Allam Jaya Prakash, Kiran Kumar Patro, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz
, Pawel Plawiak:
Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [j3]Kiran Kumar Patro, Allam Jaya Prakash
, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz
, U. Rajendra Acharya
, Mohamed Hammad
, Özal Yildirim, Pawel Plawiak
:
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. 640: 119005 (2023) - [c4]N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman:
Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model. CinC 2023: 1-4 - 2022
- [c3]Arya Bhardwaj, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman:
Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders. CinC 2022: 1-4 - [c2]Dibya Chowdhury, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman:
Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG. CinC 2022: 1-4 - [c1]Chintha Sri Pothu Raju, Anish Monsley Kirupakaran, Bala Chakravarthy Neelapu, Rabul Hussain Laskar:
Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions. CVIP (1) 2022: 276-288
2010 – 2019
- 2019
- [j2]Srikanth Vasamsetti, Neerja Mittal
, Bala Chakravarthy Neelapu, Harish Kumar Sardana
:
3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes. Cogn. Comput. 11(1): 18-30 (2019) - 2017
- [j1]Bala Chakravarthy Neelapu, Om Prakash Kharbanda, Viren Sardana, Abhishek Gupta
, Srikanth Vasamsetti, Rajiv Balachandran, Shailendra Singh Rana, Harish Kumar Sardana
:
A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization. Int. J. Comput. Assist. Radiol. Surg. 12(11): 1877-1893 (2017)
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