Bala Chakravarthy Neelapu

16 papers Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CAF-DNet: A class aware attention fusion network with multi-scale dilated convolutions for acute lymphoblastic leukemia classification.
Expert Syst. Appl.
Rushikesh T. Gaikwad, Nalla Maheswararao, Soumyajit Gayen, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2026 J jnl
SPHE-Match: Semi-supervised Prototype-aware Hierarchical Embedding Matching approach for classifying Sleep Apnea events using single-lead Electrocardiogram.
Eng. Appl. Artif. Intell.
Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Arya Bhardwaj, Pradeep Kumar, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2025 J jnl
Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data.
Multim. Tools Appl.
Chintha Sri Pothu Raju, Bala Chakravarthy Neelapu, Rabul Hussain Laskar, Ghulam Muhammad
2025 J jnl
SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations.
Eng. Appl. Artif. Intell.
Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Srikanth Vasamsetti, Bala Chakravarthy Neelapu
2024 J jnl
Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis.
Int. J. Imaging Syst. Technol.
Ahmadsaidulu Shaik, Abhishek Tiwari, Bala Chakravarthy Neelapu, Puneet Kumar Jain, Earu Banoth
2024 — conf
Analyzing the Effect of Coffee Consumption on Visual Pathway Using Visual Evoked Potential (VEP) Signals and Machine Learning Algorithms.
CICBA (1)
Garima Singhal, Nalla Maheswara Rao, C. S. Amit, Srushti Badge, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2024 J jnl
Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms.
Biomed. Signal Process. Control.
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2024 J jnl
Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model.
Biomed. Signal Process. Control.
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2023 J jnl
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images.
Inf. Sci.
Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak
2023 — conf
Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model.
CinC
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2023 J jnl
Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea.
Int. J. Appl. Math. Comput. Sci.
Usha Rani Kandukuri, Allam Jaya Prakash, Kiran Kumar Patro, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, Pawel Plawiak
2022 — conf
Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders.
CinC
Arya Bhardwaj, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2022 — conf
Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions.
CVIP (1)
Chintha Sri Pothu Raju, Anish Monsley Kirupakaran, Bala Chakravarthy Neelapu, Rabul Hussain Laskar
2022 — conf
Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG.
CinC
Dibya Chowdhury, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2019 J jnl
3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes.
Cogn. Comput.
Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, Harish Kumar Sardana
2017 J jnl
A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization.
Int. J. Comput. Assist. Radiol. Surg.
Bala Chakravarthy Neelapu, Om Prakash Kharbanda, Viren Sardana, Abhishek Gupta, Srikanth Vasamsetti, Rajiv Balachandran, Shailendra Singh Rana, Harish Kumar Sardana