A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. - S. U. Park; J. H. Park; Mohammed A. Al-Masni; Mugahed A. Al-antari; Md. Zia Uddin; Tae-Seong Kim 001 (CENTERIS/ProjMAN/HCist, 2016)

Non-local means filter denoising for DEXA images. - Mugahed A. Al-antari; Mohammed A. Al-masni; Mohamed K. Metwally; Dildar Hussain; Edwin Valarezo; Patricio Rivera; Geon Gi; Jeong-min Park; Tae-Yeon Kim; Se-Je Park; Jeong-Sik Shin; Seung-Moo Han; et al. (EMBC, 2017)

Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. - Mohammed A. Al-masni; Mugahed A. Al-antari; Jeong-min Park; Geon Gi; Tae-Yeon Kim; Patricio Rivera; Edwin Valarezo; Seung-Moo Han; Tae-Seong Kim 001 (EMBC, 2017)

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. - Mohammed A. Al-masni; Mugahed A. Al-antari; Mun-Taek Choi; Seung-Moo Han; Tae-Seong Kim 001 (Comput. Methods Programs Biomed., 2018)

Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. - Mohammed A. Al-masni; Mugahed A. Al-antari; Jeong-min Park; Geon Gi; Tae-Yeon Kim; Patricio Rivera; Edwin Valarezo; Mun-Taek Choi; Seung-Moo Han; Tae-Seong Kim 001 (Comput. Methods Programs Biomed., 2018)

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. - Mugahed A. Al-antari; Mohammed A. Al-masni; Mun-Taek Choi; Seung-Moo Han; Tae-Seong Kim 001 (Int. J. Medical Informatics, 2018)

A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. - Mohammed A. Al-masni; Woo-Ram Kim; Eung-Yeop Kim; Young Noh; Dong-Hyun Kim 008 (EMBC, 2020)

Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks. - Hunjin Chung; Koung Mi Kang; Mohammed A. Al-Masni; Chul-Ho Sohn; Yoonho Nam; Kanghyun Ryu; Dong-Hyun Kim 008 (IEEE Access, 2020)

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. - Mohammed A. Al-masni; Dong-Hyun Kim 008; Tae-Seong Kim 001 (Comput. Methods Programs Biomed., 2020)

3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge. - Yoonseok Choi; Mohammed A. Al-masni; Dong-Hyun Kim 008 (BrainLes@MICCAI (1), 2021)

3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. - Mohammed A. Al-Masni; Woo-Ram Kim; Eung-Yeop Kim; Young Noh; Dong-Hyun Kim 008 (IEEE Access, 2021)

A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net). - Jun-Ho Kim; Mohammed A. Al-masni; Haejoon Lee; Yoon-Seok Choi; Dong-Hyun Kim 008 (AICAS, 2022)

1D-DCGAN for Oversampling Minority Mitotic Patterns in HEp-2 Cell Images. - Asaad Anaam; Mohammed A. Al-Masni; Akio Gofuku (LifeTech, 2022)

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. - Jun-Ho Kim; Mohammed A. Al-masni; Seul Lee; Haejoon Lee; Dong-Hyun Kim 008 (MICCAI (1), 2022)

Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI. - Mohammed A. Al-masni; Seul Lee; Jaeuk Yi; Sewook Kim; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim 008 (NeuroImage, 2022)

Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. - Jun-Ho Kim; Young Noh; Haejoon Lee; Seul Lee; Woo-Ram Kim; Koung Mi Kang; Eung-Yeop Kim; Mohammed A. Al-masni; Dong-Hyun Kim 008 (CoRR, 2023)

A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. - Mohammed A. Al-masni; Seul Lee; Abobakr Khalil Alshamiri; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim 008 (Comput. Biol. Medicine, 2023)

A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities. - Yoonseok Choi; Mohammed A. Al-masni; Kyu-Jin Jung; Roh-Eul Yoo; Seong-Yeong Lee; Dong-Hyun Kim 008 (Comput. Methods Programs Biomed., 2023)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. - Sunyoung Jung; Yoonseok Choi; Mohammed A. Al-masni; Minyoung Jung; Donghyun Kim 008 (MICCAI (9), 2024)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning. - Sunyoung Jung; Yoonseok Choi; Mohammed A. Al-masni; Minyoung Jung; Dong-Hyun Kim (CoRR, 2024)

Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework. - Daniel Kim; Mohammed A. Al-masni; Jaehun Lee; Dong-Hyun Kim; Kanghyun Ryu (WACV, 2025)

Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development. - Abdullah Almogahed; Hairulnizam Mahdin; Yeong Hyeon Gu; Mohammed A. Al-Masni; Shehab Abdulhabib Alzaeemi; Mazni Omar; Abdulwadood Alawadhi; Samera Obaid Barraood; Abdul Rehman Gilal; Adnan Ameen Bakather (IEEE Access, 2025)

Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions. - Jaehun Lee; Daniel Kim; Taehun Kim; Mohammed A. Al-masni; Yoseob Han; Dong-Hyun Kim; Kanghyun Ryu (Comput. Medical Imaging Graph., 2025)

Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency. - Seuk Kim; Mohammed A. Al-masni; Seul Lee; Sunyoung Jung; Kyu-Jin Jung; Chuanjiang Cui; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim (Eng. Appl. Artif. Intell., 2025)

Toward automated detection of microbleeds with anatomical scale localization using deep learning. - Jun-Ho Kim; Young Noh; Haejoon Lee; Seul Lee; Woo-Ram Kim; Koung Mi Kang; Eung-Yeop Kim; Mohammed A. Al-masni; Donghyun Kim 008 (Medical Image Anal., 2025)

Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator. - Chuanjiang Cui; Kyu-Jin Jung; Mohammed A. Al-Masni; Jun-Hyeong Kim; Soo-Yeon Kim; Mina Park; Shao Ying Huang; Se Young Chun; Dong-Hyun Kim 008 (IEEE Trans. Biomed. Eng., 2025)