| 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 | 79 | 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 | 54 | 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 | 53 | 2017 |
| 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 | 29 | 2023 |
| 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 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 |
| Robust weapon detection in dark environments using Yolov7-DarkVision P Yadav, N Gupta, PK Sharma Digital Signal Processing 145, 104342, 2024 | 4 | 2024 |
| 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 |
| COVID-19 Detection from CT Scan Images using Transfer Learning Approach NG Navjot Singh Bajaj Pavinder Yadav Proceedings of the 2024 8th International Conference on Machine Learning and …, 2024 | 2 | 2024 |
| 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 |
| 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 | 1 | 2023 |
| Handwritten equation solver using Convolutional Neural Network M Arya, P Yadav, N Gupta Intelligent Systems and Applications in Computer Vision, 72-85, 2023 | 1 | 2023 |
| Deep Learning Based Automated Electronic Meter Reading System using YOLOv5 Architecture NG Harsh Gupta, Ankita Jaiswal, Pavinder Yadav Proceedings of the 2023 International Conference on Big Data Mining and …, 2024 | | 2024 |
| Applications of Optimization and Machine Learning in Image Processing and IoT N Gupta CRC Press, 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 |
Pritee KhannaProfessor, IIITDM Jabalpur在 iiitdmj.ac.in 的电子邮件经过验证
