| Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system MS Kavitha, A Asano, A Taguchi, T Kurita, M Sanada BMC medical imaging 12, 1-11, 2012 | 127 | 2012 |
| Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women MS Kavitha, SY An, CH An, KH Huh, WJ Yi, MS Heo, SS Lee, SC Choi Oral surgery, oral medicine, oral pathology and oral radiology 119 (3), 346-356, 2015 | 103 | 2015 |
| A mini-review on the effects of COVID-19 on younger individuals M Manivannan, MP Jogalekar, MS Kavitha, BAV Maran, P Gangadaran Experimental biology and medicine 246 (3), 293-297, 2021 | 64 | 2021 |
| A mini-review on the impact of COVID 19 on vital organs MD Shah, AS Sumeh, M Sheraz, MS Kavitha, BAV Maran, KF Rodrigues Biomedicine & pharmacotherapy 143, 112158, 2021 | 45 | 2021 |
| Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches MS Kavitha, P Ganesh Kumar, SY Park, KH Huh, MS Heo, T Kurita, ... Dentomaxillofacial Radiology 45 (7), 20160076, 2016 | 44 | 2016 |
| Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells MS Kavitha, T Kurita, SY Park, SI Chien, JS Bae, BC Ahn PloS one 12 (12), e0189974, 2017 | 43 | 2017 |
| Computer‐aided measurement of mandibular cortical width on dental panoramic radiographs for identifying osteoporosis MS Kavitha, F Samopa, A Asano, A Taguchi, M Sanada Journal of investigative and clinical dentistry 3 (1), 36-44, 2012 | 41 | 2012 |
| The combination of a histogram-based clustering algorithm and support vector machine for the diagnosis of osteoporosis MS Kavitha, A Asano, A Taguchi, MS Heo Imaging science in dentistry 43 (3), 153-161, 2013 | 39 | 2013 |
| Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease TK Kavitha Muthusubash, Novanto Yudistira 2019 IEEE 11th International Workshop on Computational Intelligence …, 2019 | 35* | 2019 |
| Distributional variations in the quantitative cortical and trabecular bone radiographic measurements of mandible, between male and female populations of Korea, and its utilization MS Kavitha, SY Park, MS Heo, SI Chien PLoS One 11 (12), e0167992, 2016 | 34 | 2016 |
| A robust approach for industrial small-object detection using an improved faster regional convolutional neural network F Saeed, MJ Ahmed, MJ Gul, KJ Hong, A Paul, MS Kavitha Scientific reports 11 (1), 23390, 2021 | 32 | 2021 |
| Prediction of sequential organelles localization under imbalance using a balanced deep u-net N Yudistira, M Kavitha, T Itabashi, AH Iwane, T Kurita Scientific reports 10 (1), 2626, 2020 | 26 | 2020 |
| Segmentation and classification of brain tumor using wavelet and Zernike based features on MRI SR Sornam M, Kavitha MS IEEE International Conference on Advances in Computer Applications (ICACA …, 2016 | 25 | 2016 |
| Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP M Bhandari, P Yogarajah, MS Kavitha, J Condell Applied Sciences 13 (5), 3125, 2023 | 22 | 2023 |
| Deep neural network models for colon cancer screening MS Kavitha, P Gangadaran, A Jackson, BA Venmathi Maran, T Kurita, ... Cancers 14 (15), 3707, 2022 | 17 | 2022 |
| Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans MS Kavitha, CH Lee, KS Shibudas, T Kurita, BC Ahn Scientific reports 10 (1), 7738, 2020 | 17 | 2020 |
| Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques MS Kavitha, T Kurita, BC Ahn Computers in Biology and Medicine 94, 55-64, 2018 | 17 | 2018 |
| Regularizer based on Euler characteristic for retinal blood vessel segmentation L Hakim, MS Kavitha, N Yudistira, T Kurita Pattern recognition letters 149, 83-90, 2021 | 16 | 2021 |
| Autoencoder framework based on orthogonal projection constraints improves anomalies detection Q Yu, M Kavitha, T Kurita Neurocomputing 450, 372-388, 2021 | 16 | 2021 |
| Mixture of experts with convolutional and variational autoencoders for anomaly detection Q Yu, MS Kavitha, T Kurita Applied Intelligence 51 (6), 3241-3254, 2021 | 12 | 2021 |
Takio KuritaHiroshima University在 hiroshima-u.ac.jp 的电子邮件经过验证
