| A systematic review of artificial intelligence techniques in cancer prediction and diagnosis Y Kumar, S Gupta, R Singla, YC Hu Archives of Computational Methods in Engineering 29 (4), 2043-2070, 2022 | 138 | 2022 |
| Computational prediction of cervical cancer diagnosis using ensemble-based classification algorithm S Gupta, MK Gupta The Computer Journal 65 (6), 1527-1539, 2022 | 58 | 2022 |
| Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental review Y Kumar, S Gupta Archives of Computational Methods in Engineering 30 (1), 521-541, 2023 | 48 | 2023 |
| A comprehensive data‐level investigation of cancer diagnosis on imbalanced data S Gupta, MK Gupta Computational Intelligence 38 (1), 156-186, 2022 | 37 | 2022 |
| [Retracted] Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data S Gupta, S Kalaivani, A Rajasundaram, GK Ameta, AK Oleiwi, ... BioMed Research International 2022 (1), 1467070, 2022 | 35 | 2022 |
| Deep learning techniques for cancer classification using microarray gene expression data S Gupta, MK Gupta, M Shabaz, A Sharma Frontiers in Physiology 13, 952709, 2022 | 34 | 2022 |
| An investigational approach for the prediction of gastric cancer using artificial intelligence techniques: a systematic review P Bhardwaj, G Bhandari, Y Kumar, S Gupta Archives of Computational Methods in Engineering 29 (6), 4379-4400, 2022 | 30 | 2022 |
| Deep learning for brain tumor segmentation using magnetic resonance images S Gupta, M Gupta 2021 IEEE conference on computational intelligence in bioinformatics and …, 2021 | 30 | 2021 |
| A comparative analysis of deep learning approaches for predicting breast cancer survivability S Gupta, MK Gupta Archives of Computational Methods in Engineering 29 (5), 2959-2975, 2022 | 28 | 2022 |
| A novel deep transfer learning models for recognition of birds sounds in different environment Y Kumar, S Gupta, W Singh Soft Computing 26 (3), 1003-1023, 2022 | 27 | 2022 |
| Study of machine and deep learning classifications for iot enabled healthcare devices Y Kumar, S Gupta, A Gupta 2021 International Conference on Technological Advancements and Innovations …, 2021 | 26 | 2021 |
| Computational model for prediction of malignant mesothelioma diagnosis S Gupta, MK Gupta The Computer Journal 66 (1), 86-100, 2023 | 24 | 2023 |
| Cancer prognosis using artificial intelligence-based techniques S Gupta, Y Kumar SN Computer Science 3 (1), 77, 2022 | 21 | 2022 |
| Prostate cancer prognosis using multi-layer perceptron and class balancing techniques S Gupta, M Kumar Proceedings of the 2021 Thirteenth International Conference on Contemporary …, 2021 | 15 | 2021 |
| A novel multi-neural ensemble approach for cancer diagnosis S Gupta, MK Gupta, R Kumar Applied Artificial Intelligence 36 (1), 2018182, 2022 | 13 | 2022 |
| Artificial intelligence techniques for the recognition of multi-plate multi-vehicle tracking systems: a systematic review P Kaur, Y Kumar, S Gupta Archives of Computational Methods in Engineering 29 (7), 4897-4914, 2022 | 11 | 2022 |
| A review on recent deep learning techniques, challenges and its applications for medical healthcare system A Gupta, S Gupta, Y Kumar 2021 International Conference on Technological Advancements and Innovations …, 2021 | 9 | 2021 |
| Personal HealthCare of Things: A novel paradigm and futuristic approach S Gupta, M Shabaz, A Gupta, A Alqahtani, S Alsubai, I Ofori CAAI Transactions on Intelligence Technology, 2023 | 8 | 2023 |
| Artificial intelligence techniques in Cancer research: Opportunities and challenges S Gupta, A Gupta, Y Kumar 2021 International Conference on Technological Advancements and Innovations …, 2021 | 8 | 2021 |
| Object detection and recognition using deep learning‐based techniques P Sharma, S Gupta, S Vyas, M Shabaz IET Communications 17 (13), 1589-1599, 2023 | 7 | 2023 |
