| Is thermal imaging a useful predictor of the healing status of diabetes-related foot ulcers? A pilot study B Aliahmad, AN Tint, S Poosapadi Arjunan, P Rani, DK Kumar, J Miller, ... Journal of diabetes science and technology 13 (3), 561-567, 2019 | 37 | 2019 |
| Attention-augmented U-Net (AA-U-Net) for semantic segmentation KT Rajamani, P Rani, H Siebert, R ElagiriRamalingam, MP Heinrich Signal, image and video processing 17 (4), 981-989, 2023 | 35 | 2023 |
| Multiple instance learning: Robust validation on retinopathy of prematurity P Rani, R Elagiri Ramalingam, KT Rajamani, M Kandemir, D Singh Int J Ctrl Theory Appl 9, 451-459, 2016 | 21 | 2016 |
| Retinal vessel segmentation under pathological conditions using supervised machine learning P Rani, N Priyadarshini, ER Rajkumar, K Rajamani 2016 International Conference on Systems in Medicine and Biology (ICSMB), 62-66, 2016 | 14 | 2016 |
| Classification of retinopathy of prematurity using back propagation neural network P Rani, ER Rajkumar International Journal of Biomedical Engineering and Technology 22 (4), 338-348, 2016 | 13 | 2016 |
| A novel approach for quantification of contour irregularities of diabetic foot ulcers and its association with ischemic heart disease P Rani, B Aliahmad, DK Kumar 2017 39th annual international conference of the IEEE engineering in …, 2017 | 10 | 2017 |
| Nanosensors and their potential role in internet of medical things P Rani Nanosensors for futuristic smart and intelligent healthcare systems, 293-317, 2022 | 9 | 2022 |
| Detection of retinopathy of prematurity using multiple instance learning P Rani, ER Rajkumar, KT Rajamani, M Kandemir, D Singh 2015 International Conference on Advances in Computing, Communications and …, 2015 | 6 | 2015 |
| ML-On-Rails: Safeguarding Machine Learning Models in Software Systems—A Case Study H Abdelkader, M Abdelrazek, S Barnett, JG Schneider, P Rani, R Vasa Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 5 | 2024 |
| Automated diagnosis of autism spectrum disorder condition using shape based features extracted from brainstem V Jain, A Selvaraj, R Mittal, P Rani, A Kilpattu Ramaniharan, ... Challenges of Trustable AI and Added-Value on Health, 53-57, 2022 | 4 | 2022 |
| The association of temperature of diabetic foot ulcers with chronic kidney disorder P Rani, B Aliahmad, DK Kumar 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| Robustness Attributes to Safeguard Machine Learning Models in Production H Abdelkader, M Abdelrazek, JG Schneider, P Rani, R Vasa 2023 IEEE Engineering Informatics, 1-9, 2023 | 3 | 2023 |
| Machine Learning and Deep Learning Based Hybrid Feature Extraction and Classification Model Using Digital Microscopic Bacterial Images S Kotwal, P Rani, T Arif, J Manhas SN Computer Science 4 (5), 687, 2023 | 3 | 2023 |
| Comparative evaluation of geometrical, Zernike moments, and volumetric features of the corpus callosum for discrimination of ASD using machine learning algorithms A Bhattacharya, G Manoj, V Gupta, AAS Gadda, D Vedantham, AA Prince, ... International Journal of Biomedical Engineering and Technology 43 (3), 275-296, 2023 | 3 | 2023 |
| An intelligent species level deep learning-based framework in automatic classification of microscopic bacteria images P Rani, S Kotwal, J Manhas Innovations in Computational Intelligence and Computer Vision: Proceedings …, 2022 | 2 | 2022 |
| Smart Home Goal Feature Model--A guide to support Smart Homes for Ageing in Place I Logothetis, P Rani, S Sivasothy, R Vasa, K Mouzakis arXiv preprint arXiv:2311.09248, 2023 | 1 | 2023 |
| Novel no-reference multi-dimensional perceptual similarity metric ST Rajamani, K Rajamani, P Rani, R Barick, SV Aithal, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
| Curve irregularity index for quantification of roughness in non-fractal curves P Rani, B Aliahmad, DK Kumar Physica A: Statistical Mechanics and its Applications 528, 121435, 2019 | 1 | 2019 |
| Quantification of prognostic parameters for assessment of diabetes-related foot ulcers and venous leg ulcers using image processing techniques P Rani RMIT University, 2019 | 1 | 2019 |
| Towards Robust ML-enabled Software Systems: Detecting Out-of-Distribution data using Gini Coefficients H Abdelkader, JG Schneider, M Abdelrazek, P Rani, R Vasa Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | | 2024 |
