Performance analysis of machine learning and deep learning architectures for malaria detection on cell images BN Narayanan, R Ali, RC Hardie Applications of Machine Learning 11139, 240-247, 2019 | 70 | 2019 |
IMNets: Deep learning using an incremental modular network synthesis approach for medical imaging applications R Ali, RC Hardie, BN Narayanan, TM Kebede Applied Sciences 12 (11), 5500, 2022 | 56 | 2022 |
Deep learning ensemble methods for skin lesion analysis towards melanoma detection R Ali, RC Hardie, BN Narayanan, S De Silva 2019 IEEE National Aerospace and electronics conference (NAECON), 311-316, 2019 | 56 | 2019 |
Skin lesion segmentation and classification for ISIC 2018 using traditional classifiers with hand-crafted features RC Hardie, R Ali, MS De Silva, TM Kebede arXiv preprint arXiv:1807.07001, 2018 | 43 | 2018 |
Convolutional neural network for classification of histopathology images for breast cancer detection BN Narayanan, V Krishnaraja, R Ali 2019 IEEE National Aerospace and electronics conference (NAECON), 291-295, 2019 | 35 | 2019 |
Understanding deep neural network predictions for medical imaging applications BN Narayanan, MS De Silva, RC Hardie, NK Kueterman, R Ali arXiv preprint arXiv:1912.09621, 2019 | 34 | 2019 |
Recursive non-local means filter for video denoising RA Ali, RC Hardie EURASIP Journal on Image and Video Processing 2017, 1-11, 2017 | 27 | 2017 |
Skin lesion segmentation and classification for ISIC 2018 by combining deep CNN and handcrafted features R Ali, RC Hardie, MS De Silva, TM Kebede arXiv preprint arXiv:1908.05730, 2019 | 24 | 2019 |
A leaf recognition approach to plant classification using machine learning R Ali, R Hardie, A Essa NAECON 2018-IEEE National Aerospace and Electronics Conference, 431-434, 2018 | 24 | 2018 |
Ensemble lung segmentation system using deep neural networks R Ali, RC Hardie, HK Ragb 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5, 2020 | 21 | 2020 |
Recursive non-local means filter for video denoising with Poisson-Gaussian noise R Almahdi, RC Hardie 2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio …, 2016 | 18 | 2016 |
Deep convolutional neural network ensemble for improved malaria parasite detection HK Ragb, IT Dover, R Ali 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-10, 2020 | 16 | 2020 |
A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data R Ali, H Li, JR Dillman, M Altaye, H Wang, NA Parikh, L He Pediatric radiology 52 (11), 2227-2240, 2022 | 13 | 2022 |
Fused deep convolutional neural networks based on voting approach for efficient object classification R Ali, HK Ragb 2019 IEEE National Aerospace and Electronics Conference (NAECON), 335-339, 2019 | 12 | 2019 |
Skin lesion segmentation and classification using deep learning and handcrafted features R Ali, HK Ragb arXiv preprint arXiv:2112.10307, 2021 | 9 | 2021 |
Understanding deep neural network predictions for medical imaging applications. arXiv 2019 BN Narayanan, MS De Silva, RC Hardie, NK Kueterman, R Ali arXiv preprint arXiv:1912.09621, 1912 | 9 | 1912 |
Ensemble method of lung segmentation in chest radiographs BN Narayanan, MS De Silva, RC Hardie, R Ali NAECON 2021-IEEE National Aerospace and Electronics Conference, 382-385, 2021 | 8 | 2021 |
Fused deep convolutional neural network for precision diagnosis of covid-19 using chest x-ray images HK Ragb, IT Dover, R Ali arXiv preprint arXiv:2009.08831, 2020 | 4 | 2020 |
Convolutional neural network based on transfer learning for breast cancer screening H Ragb, R Ali, E Jera, N Buaossa arXiv preprint arXiv:2112.11629, 2021 | 2 | 2021 |
Aggregate channel features based on local phase, color, texture, and gradient features for people localization HK Ragb, R Ali, V Asari 2019 IEEE National Aerospace and Electronics Conference (NAECON), 351-355, 2019 | 1 | 2019 |