| Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks MA Al-Masni, MA Al-Antari, MT Choi, SM Han, TS Kim Computer methods and programs in biomedicine 162, 221-231, 2018 | 496 | 2018 |
| Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system MA Al-Masni, MA Al-Antari, JM Park, G Gi, TY Kim, P Rivera, E Valarezo, ... Computer methods and programs in biomedicine 157, 85-94, 2018 | 469 | 2018 |
| A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification MA Al-Antari, MA Al-Masni, MT Choi, SM Han, TS Kim International journal of medical informatics 117, 44-54, 2018 | 430 | 2018 |
| Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification MA Al-Masni, DH Kim, TS Kim Computer methods and programs in biomedicine 190, 105351, 2020 | 339 | 2020 |
| An automatic computer-aided diagnosis system for breast cancer in digital mammograms via deep belief network MA Al-Antari, MA Al-Masni, SU Park, JH Park, MK Metwally, YM Kadah, ... Journal of Medical and Biological Engineering 38, 443-456, 2018 | 151 | 2018 |
| Detection and classification of the breast abnormalities in digital mammograms via regional convolutional neural network MA Al-masni, MA Al-antari, JM Park, G Gi, TY Kim, P Rivera, E Valarezo, ... 2017 39th annual international conference of the IEEE engineering in …, 2017 | 148 | 2017 |
| Deep learning computer-aided diagnosis for breast lesion in digital mammogram MA Al-Antari, MA Al-Masni, TS Kim Deep Learning in Medical Image Analysis: Challenges and Applications, 59-72, 2020 | 100 | 2020 |
| A depth camera-based human activity recognition via deep learning recurrent neural network for health and social care services SU Park, JH Park, MA Al-Masni, MA Al-Antari, MZ Uddin, TS Kim Procedia Computer Science 100, 78-84, 2016 | 89 | 2016 |
| Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach MA Al-Masni, WR Kim, EY Kim, Y Noh, DH Kim NeuroImage: Clinical 28, 102464, 2020 | 64 | 2020 |
| CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation MA Al-Masni, DH Kim Scientific reports 11 (1), 10191, 2021 | 54 | 2021 |
| Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI MA Al-Masni, S Lee, J Yi, S Kim, SM Gho, YH Choi, DH Kim NeuroImage 259, 119411, 2022 | 35 | 2022 |
| A hybrid workflow of residual convolutional transformer encoder for breast cancer classification using digital X-ray mammograms RM Al-Tam, AM Al-Hejri, SM Narangale, NA Samee, NF Mahmoud, ... Biomedicines 10 (11), 2971, 2022 | 34 | 2022 |
| Femur segmentation in DXA imaging using a machine learning decision tree D Hussain, MA Al-Antari, MA Al-Masni, SM Han, TS Kim Journal of X-ray Science and Technology 26 (5), 727-746, 2018 | 27 | 2018 |
| A two cascaded network integrating regional-based YOLO and 3D-CNN for cerebral microbleeds detection MA Al-Masni, WR Kim, EY Kim, Y Noh, DH Kim 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 26 | 2020 |
| A deep learning model integrating FrCN and residual convolutional networks for skin lesion segmentation and classification MA Al-Masni, MA Al-Antari, HM Park, NH Park, TS Kim 2019 IEEE Eurasia conference on biomedical engineering, healthcare and …, 2019 | 22 | 2019 |
| Human Activity Recognition Using a Single Wrist IMU Sensor via Deep Learning Convolutional and Recurrent Neural Nets TSK E. Valarezo, P. Rivera, J. M. Park, G. Gi, T. Y. Kim, M. Al-antari, M ... Journal of ICT, Design, Engineering and Technological Science 1 (1), 1-5, 2017 | 21 | 2017 |
| Human Activity Recognition Using a Single Wrist IMU Sensor via Deep Learning Convolutional and Recurrent Neural Nets TSK E. Valarezo, P. Rivera, J. M. Park, G. Gi, T. Y. Kim, M. Al-antari, M ... 2nd International Conference on Sustainable Development in Biomechanics …, 2017 | 21* | 2017 |
| Hybrid model of computer-aided breast cancer diagnosis from digital mammograms MA Al-antari, MA Al-masni, YM Kadah J. Sci. Eng 4 (2), 114-126, 2017 | 18 | 2017 |
| Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model AH Ba-Alawi, MA Al-masni, CK Yoo Journal of Water Process Engineering 55, 104119, 2023 | 16 | 2023 |
| A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities Y Choi, MA Al-Masni, KJ Jung, RE Yoo, SY Lee, DH Kim Computer Methods and Programs in Biomedicine 240, 107644, 2023 | 16 | 2023 |
Mugahed A. Al-antari, Ph.D.Assistant Professor, AISSLab, Department of AI and Data Science, Sejong University, Seoul, KoreaBestätigte E-Mail-Adresse bei sejong.ac.kr
