Bala Chakravarthy Neelapu

According to our database, Bala Chakravarthy Neelapu authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data.

Chintha Sri Pothu Raju, Bala Chakravarthy Neelapu, Rabul Hussain Laskar, Ghulam Muhammad

Multim. Tools Appl., March, 2025

SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations.

Soumyajit Gayen, Maheswara Rao Nalla, Deepak Kumar Sahu, J. Sivaraman, Kunal Pal, Srikanth Vasamsetti, Bala Chakravarthy Neelapu

Eng. Appl. Artif. Intell., 2025

2024

Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis.

Ahmadsaidulu Shaik, Abhishek Tiwari, Bala Chakravarthy Neelapu, Puneet Kumar Jain, Earu Banoth

Int. J. Imaging Syst. Technol., 2024

Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman

Biomed. Signal Process. Control., 2024

Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman

Biomed. Signal Process. Control., 2024

2023

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images.

Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak

Inf. Sci., September, 2023

Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea.

Usha Rani Kandukuri, Allam Jaya Prakash, Kiran Kumar Patro, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, Pawel Plawiak

Int. J. Appl. Math. Comput. Sci., 2023

Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model.

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman

Proceedings of the Computing in Cardiology, 2023

2022

Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions.

Chintha Sri Pothu Raju, Anish Monsley Kirupakaran, Bala Chakravarthy Neelapu, Rabul Hussain Laskar

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG.

Dibya Chowdhury, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman

Proceedings of the Computing in Cardiology, 2022

Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders.

Arya Bhardwaj, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman

Proceedings of the Computing in Cardiology, 2022

2019

3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes.

Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, Harish Kumar Sardana

Cogn. Comput., 2019

2017

A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization.

Bala Chakravarthy Neelapu, Om Prakash Kharbanda, Viren Sardana, Abhishek Gupta, Srikanth Vasamsetti, Rajiv Balachandran, Shailendra Singh Rana, Harish Kumar Sardana

Int. J. Comput. Assist. Radiol. Surg., 2017