| 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 | 571 | 2018 |
| 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 | 565 | 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 | 508 | 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 | 432 | 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 (3), 443-456, 2018 | 176 | 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 | 159 | 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 | 126 | 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 | 104 | 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 | 82 | 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 | 71 | 2021 |
| 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 | 61 | 2022 |
| 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 | 61 | 2022 |
| Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations D Hussain, MA Al-Masni, M Aslam, A Sadeghi-Niaraki, J Hussain, YH Gu, ... Journal of X-Ray Science and Technology 32 (4), 857-911, 2024 | 50 | 2024 |
| Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model A Abdu, Z Zhai, HA Abdo, R Algabri, MA Al-Masni, MS Muhammad, ... Scientific Reports 14 (1), 14771, 2024 | 38 | 2024 |
| 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 | 36 | 2018 |
| 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 | 32 | 2023 |
| 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 | 31 | 2020 |
| 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 | 29 | 2023 |
| 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 | 28 | 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 | 22 | 2017 |
Mugahed A. Al-antari, Ph.D.Assistant Professor, AISSLab, Department of AI and Data Science, Sejong University, Seoul, KoreaVerified email at sejong.ac.kr
