| Deep convolutional neural networks with transfer learning for automated brain image classification T Kaur, TK Gandhi Machine Vision and Applications 31 (20), 1-16, 2020 | 197 | 2020 |
| Automated Brain Image Classification Based on VGG-16 and Transfer Learning T Kaur, TK Gandhi 2019 International Conference on Information Technology (ICIT), 94-98, 2020 | 171 | 2020 |
| A deep learning approach to measure stress level in plants due to Nitrogen deficiency S Azimi, T Kaur, TK Gandhi Measurement, 108650, 2020 | 85 | 2020 |
| Quantitative metric for MR brain tumor grade classification using sample space density measure of analytic intrinsic mode function representation T Kaur, BS Saini, S Gupta IET Image Processing (http://ieeexplore.ieee.org/document/7995185/) 11 (8 …, 2017 | 37 | 2017 |
| Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization T Kaur, TK Gandhi, BK Panigrahi IEEE Journal of Translational Engineering in Health and Medicine 9, 1800209, 2021 | 32 | 2021 |
| Artificial Intelligence in Epilepsy T Kaur, A Diwakar, P Mirpuri, M Tripathi, PS Chandra, TK Gandhi Neurology India 69 (3), 560-566, 2021 | 32 | 2021 |
| An adaptive fuzzy K-nearest neighbor approach for MR brain tumor image classification using parameter free bat optimization algorithm T Kaur, BS Saini, S Gupta Multimedia Tools and Applications 78, 21853–21890, 2019 | 30 | 2019 |
| An optimal spectroscopic feature fusion strategy for MR brain tumor classification using Fisher Criteria and Parameter-Free BAT optimization algorithm T Kaur, BS Saini, S Gupta Biocybernetics and Biomedical Engineering 38 (2), 409-424, 2018 | 28 | 2018 |
| Optimized Multi Threshold Brain Tumor Image Segmentation Using Two Dimensional Minimum Cross Entropy Based on Co-occurrence Matrix T Kaur, BS Saini, S Gupta Medical Imaging in Clinical Applications 651, 461-486, 2016 | 24 | 2016 |
| Classifier fusion for detection of COVID-19 from CT scans T Kaur, TK Gandhi Circuits, systems, and signal processing 41 (6), 3397-3414, 2022 | 23 | 2022 |
| A joint intensity and edge magnitude-based multilevel thresholding algorithm for the automatic segmentation of pathological MR brain images T Kaur, BS Saini, S Gupta Neural Computing and Applications 30, 1317-1340, 2016 | 20 | 2016 |
| A novel fully automatic multilevel thresholding technique based on optimized intuitionistic fuzzy sets and tsallis entropy for MR brain tumor image segmentation T Kaur, BS Saini, S Gupta Australasian physical & engineering sciences in medicine 41, 41-58, 2018 | 17 | 2018 |
| Automated diagnosis of COVID-19 from CT scans based on concatenation of Mobilenetv2 and ResNet50 features T Kaur, TK Gandhi In: Singh S.K., Roy P., Raman B., Nagabhushan P. (eds) Computer Vision and …, 2021 | 9 | 2021 |
| A comparative study on Kapur's and Tsallis entropy for multilevel thresholding of MR images via particle swarm optimisation technique T Kaur, BS Saini, S Gupta International Journal of Computational Systems Engineering 4 (2-3), 156-164, 2018 | 9 | 2018 |
| Bat optimized CNN model identifies water stress in chickpea plant shoot images S Azimi, T Kaur, TK Gandhi 2020 25th International Conference on Pattern Recognition (ICPR), 8500-8506, 2021 | 7 | 2021 |
| Water stress identification in chickpea plant shoot images using deep learning S Azimi, T Kaur, TK Gandhi 2020 IEEE 17th India Council International Conference (INDICON), 1-7, 2020 | 7 | 2020 |
| Deep learning identifies brain cognitive load via EEG signals A Diwakar, T Kaur, C Ralekar, TK Gandhi 2020 IEEE 17th India Council International Conference (INDICON), 1-5, 2020 | 7 | 2020 |
| 2019 international conference on information technology (icit) T Kaur, TK Gandhi | 6 | 2019 |
| Image denoising using Alexander fractional hybrid filter AK Verma, BS Saini, T Kaur International Journal of Image and Graphics 18 (01), 1850003, 2018 | 6 | 2018 |
| Automated diagnosis of epileptic seizures using eeg image representations and deep learning T Kaur, TK Gandhi Neuroscience Informatics 3 (3), 100139, 2023 | 5 | 2023 |
