Glioma detection on brain MRIs using texture and morphological features with ensemble learning KP Gupta N, Bhatele P Biomedical Signal Processing and Control 47, 115–125, 2019 | 72 | 2019 |
Identification of Gliomas from brain MRI through adaptive segmentation and run length of centralized patterns N Gupta, P Bhatele, P Khanna Journal of Computational Science 25, 213-220, 2018 | 53 | 2018 |
A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’s thresholding with prominent features and supervised learning N Gupta, P Khanna Signal Processing: Image Communication 59, 18-26, 2017 | 52 | 2017 |
Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion N Gupta, R Kumar Jha Journal of Electronic Imaging 25 (2), 023017-023017, 2016 | 29 | 2016 |
A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods P Yadav, N Gupta, PK Sharma Expert Systems with Applications 212, 118698, 2023 | 21 | 2023 |
A fast and efficient computer aided diagnostic system to detect tumor from brain magnetic resonance imaging N Gupta, P Khanna International Journal of Imaging Systems and Technology 25 (2), 123-130, 2015 | 21 | 2015 |
Enhancement of dark images using dynamic stochastic resonance in combined DWT and DCT domain N Gupta, RK Jha, SK Mohanty 2014 9th International Conference on Industrial and Information Systems …, 2014 | 12 | 2014 |
Enhancement of high dynamic range dark images using internal noise in DWT domain N Gupta, R Jha International Conference on Intelligent Interactive Technologies and …, 2013 | 11 | 2013 |
Glioma identification from brain MRI using superpixels and FCM clustering N Gupta, S Mishra, P Khanna 2018 Conference on Information and Communication Technology (CICT), 1-6, 2018 | 6 | 2018 |
Selective block based approach for neoplasm detection from T2-weighted brain MRIs N Gupta, A Seal, P Bhatele, P Khanna 2016 IEEE International Conference on Signal and Image Processing (ICSIP …, 2016 | 3 | 2016 |
A Comprehensive Study on Machine Learning Approaches for Emotion Recognition N Kumar, N Gupta 2022 2nd International Conference on Artificial Intelligence and Signal …, 2022 | 2 | 2022 |
Classification of brain MRIs forming superpixels N Gupta, S Mishra, P Khanna Advanced Computational and Communication Paradigms: Proceedings of …, 2018 | 2 | 2018 |
Robust weapon detection in dark environments using Yolov7-DarkVision P Yadav, N Gupta, PK Sharma Digital Signal Processing 145, 104342, 2024 | | 2024 |
JMCD Dataset for Brain Tumor Detection and Analysis Using Explainable Deep Learning A Verma, N Gupta, P Bhatele, P Khanna SN Computer Science 4 (6), 840, 2023 | | 2023 |
Handwritten equation solver using Convolutional Neural Network M Arya, P Yadav, N Gupta Intelligent Systems and Applications in Computer Vision, 72-85, 2023 | | 2023 |
Retrospective Review on Object Detection Approaches Using Boundary Information V Jhala, N Gupta Proceedings of Emerging Trends and Technologies on Intelligent Systems …, 2022 | | 2022 |
An adaptive smart healthcare system to detect tumor from brain MRI using machine learning algorithm N Gupta Brain tumor MRI image segmentation using deep learning techniques, 79, 2021 | | 2021 |
Customized use of Expectation Maximization for Glioma Identication from Brain MRIs NG Pritee Khanna, Pushpraj Bhatele 15th International Conference on Machine Learning and Data Mining, MLDM 2019 …, 2019 | | 2019 |
Implementation of Deep Learning Techniques to the Detection and Classification of Knives, with a Flask Web-Based User Interface P Yadav, N Gupta, PK Sharma Available at SSRN 4281618, 0 | | |