An aggregated-based deep learning method for leukemic B-lymphoblast classification PH Kasani, SW Park, JW Jang Diagnostics 10 (12), 1064, 2020 | 55 | 2020 |
A computer vision-based approach for behavior recognition of gestating sows fed different fiber levels during high ambient temperature PH Kasani, SM Oh, YH Choi, SH Ha, H Jun, KH Park, HS Ko, JE Kim, ... Journal of Animal Science and Technology 63 (2), 367, 2021 | 14 | 2021 |
Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM JH Byun, DY Lee, CW Jeong, Y Kim, HY Rhee, KW Moon, J Heo, Y Hong, ... Scientific Reports 12 (1), 4451, 2022 | 12 | 2022 |
Evaluation of nutritional status and clinical depression classification using an explainable machine learning method P Hosseinzadeh Kasani, JE Lee, C Park, CH Yun, JW Jang, SA Lee Frontiers in Nutrition 10, 1165854, 2023 | 11 | 2023 |
An evaluation of machine learning classifiers for prediction of alzheimer's disease, mild cognitive impairment and normal cognition PH Kasani, SH Kasani, Y Kim, CH Yun, SH Choi, JW Jang 2021 International Conference on Information and Communication Technology …, 2021 | 6 | 2021 |
Influence of artificial intelligence and chatbots on research integrity and publication ethics PH Kasani, KH Cho, JW Jang, CH Yun Science Editing 11 (1), 12-25, 2024 | 5 | 2024 |
HEp-2 Cell Classification Using an Ensemble of Convolutional Neural Networks PH Kasani, SH Kasani, HW Kim, KH Cho, JW Jang, CH Yun 2021 International Conference on Information and Communication Technology …, 2021 | 5 | 2021 |
Machine learning-based automatic estimation of cortical atrophy using brain computed tomography images JW Jang, J Kim, SW Park, PH Kasani, Y Kim, S Kim, SJ Kim, DL Na, ... Scientific reports 12 (1), 14740, 2022 | 4 | 2022 |
Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms C Park, JW Jang, G Joo, Y Kim, S Kim, G Byeon, SW Park, PH Kasani, ... Frontiers in Neurology 13, 906257, 2022 | 4 | 2022 |
Predicting 2-year neurodevelopmental outcomes in preterm infants using multimodal structural brain magnetic resonance imaging with local connectivity YH Jang, J Ham, PH Kasani, H Kim, JY Lee, GY Lee, TH Han, BN Kim, ... Scientific Reports 14 (1), 9331, 2024 | 3 | 2024 |
Comparative effectiveness of explainable machine learning approaches for extrauterine growth restriction classification in preterm infants using longitudinal data KH Cho, ES Kim, JW Kim, CH Yun, JW Jang, PH Kasani, HS Jo Frontiers in Medicine 10, 1166743, 2023 | 2 | 2023 |
The applications of radiomics for predicting survival rate of patients with head and neck squamous cell carcinoma (HNSCC) SW Park, PH Kasani, NY Yeo, GJ Kim, SJ Yoo, JS Kim Journal of Magnetics 25 (4), 587-594, 2020 | 2 | 2020 |
Lower-Body Fractures and the Risk of Dementia: A Nationwide Population-Based Study JK Kim, SW Park, SH Lee, PH Kasani, GH Byeon, Y Kim, JW Jang, ... Journal of Clinical Neurology (Seoul, Korea) 20 (2), 208, 2024 | 1 | 2024 |
Predicting two-year neurodevelopmental outcomes in preterm infants using multimodal structural brain magnetic resonance imaging with local connectivity: A machine learning approach YH Jang, J Ham, PH Kasani, H Kim, JY Lee, GY Lee, BN Kim, HJ Lee | | 2024 |
A Machine Learning‐Based Approach for Classification of Alzheimer’s Disease and its Risk Prediction PH Kasani, JK Kim, PH Kassani, Y Kim, JA Kim, C Park, CH Yun, SH Choi, ... Alzheimer's & Dementia 18, e064066, 2022 | | 2022 |
Inter-eye Comparison of the Lamina Cribrosa Depth in Patients with Bilateral Normal-tension Glaucoma with Asymmetrical Damage JY Lee, PH Kasani, SO Kwon, JA Kim Journal of the Korean Ophthalmological Society 63 (5), 446-454, 2022 | | 2022 |