Transforming view of medical images using deep learning. - Nitesh Pradhan; Vijaypal Singh Dhaka; Geeta Rani; Himanshu Chaudhary (Neural Comput. Appl., 2020)

Handwritten Character Recognition using Deep Neural Networks. - Sparsh Kotriwal; Nitesh Pradhan; Vijaypal Singh Dhaka (DSMLAI, 2021)

Deep Learning Technique for Image Colorization. - Nitesh Pradhan; Vijaypal Singh Dhaka; Shivam Thakur; Suman Bhakar (DSMLAI, 2021)

Conversion of two dimensional images into multi-view images of bone using deep learning. - Nitesh Pradhan; Vaibhav Singh; Virat Kumar; Parth Goel; Vijaypal Singh Dhaka (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Offline script recognition from handwritten and printed multilingual documents: a survey. - Deepak Sinwar; Vijaypal Singh Dhaka; Nitesh Pradhan; Saumya Pandey (Int. J. Document Anal. Recognit., 2021)

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. - Gaurav Srivastava 012; Nitesh Pradhan; Yashwin Saini (Comput. Biol. Medicine, 2022)

Machine Learning Model for Multi-View Visualization of Medical Images. - Nitesh Pradhan; Vijaypal Singh Dhaka; Geeta Rani; Himanshu Chaudhary (Comput. J., 2022)

Applying deep learning-based multi-modal for detection of coronavirus. - Geeta Rani; Meet Ganpatlal Oza; Vijaypal Singh Dhaka; Nitesh Pradhan; Sahil Verma; Joel J. P. C. Rodrigues (Multim. Syst., 2022)

Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views. - Nitesh Pradhan; Vijaypal Singh Dhaka; Geeta Rani; Vivek Pradhan; Eugenio Vocaturo; Ester Zumpano (IEEE Access, 2023)

CJT-DEO: Condorcet's Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification. - Gaurav Srivastava 012; Aninditaa Chauhan; Nitesh Pradhan (Appl. Soft Comput., 2023)

Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization. - Gaurav Srivastava 012; Nitesh Pradhan (Eng. Appl. Artif. Intell., 2023)

ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals. - Gaurav Srivastava 012; Aninditaa Chauhan; Nitigya Kargeti; Nitesh Pradhan; Vijaypal Singh Dhaka (Biomed. Signal Process. Control., 2023)

eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals. - Amitesh Kumar Dwivedi; Gaurav Srivastava; Sakshi Tripathi; Nitesh Pradhan (Multim. Tools Appl., 2025)