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 005; Srikanth Vasamsetti; Rajiv Balachandran; Shailendra Singh Rana; Harish Kumar Sardana (Int. J. Comput. Assist. Radiol. Surg., 2017)

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)

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 (CinC, 2022)

Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG. - Dibya Chowdhury; Bala Chakravarthy Neelapu; Kunal Pal; J. Sivaraman (CinC, 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 (CVIP (1), 2022)

Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model. - N. Prasanna Venkatesh; R. Pradeep Kumar; Bala Chakravarthy Neelapu; Kunal Pal; J. Sivaraman (CinC, 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)

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., 2023)

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)

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)

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)

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)

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., 2025)