Mohammed A. Al-masni

32 papers A 1Journal 19Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI. Comput. Biol. Medicine Abbas Mohamed Rezk, Abdulkhalek Al-Fakih, Abdullah Shazly, Vivek Kumar Singh, Yun Hwa Roh, Kanghyun Ryu, Mohammed A. Al-masni
2025	J	`jnl`	Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator. IEEE Trans. Biomed. Eng. 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
2025	A	`conf`	Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework. WACV Daniel Kim, Mohammed A. Al-masni, Jaehun Lee, Dong-Hyun Kim, Kanghyun Ryu
2025	J	`jnl`	Learning robust brain tumor segmentation under label corruption and data scarcity. Eng. Appl. Artif. Intell. Abdulkhalek Al-Fakih, Abbas Mohamed Rezk, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025	J	`jnl`	Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions. Comput. Medical Imaging Graph. Jaehun Lee, Daniel Kim, Taehun Kim, Mohammed A. Al-masni, Yoseob Han, Dong-Hyun Kim, Kanghyun Ryu
2025	J	`jnl`	Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development. IEEE Access 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
2025	—	`conf`	Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations. DEMI@MICCAI Abdulkhalek Al-Fakih, Abbas Mohamed Rezk, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025	—	`conf`	Robust Glioblastoma Segmentation Across Multi-modal MRI: A Study on BraTS 2025 Challenge, Task 5 (Sub-Saharan Africa). BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Abbas Mohamed Rezk, Abdulkhalek Al-Fakih, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025	—	`conf`	TESLA: Test-Time Reference-Free Through-Plane Super-Resolution for Multi-Contrast Brain MRI. MICCAI (13) Yoonseok Choi, Sunyoung Jung, Mohammed A. Al-masni, Ming-Hsuan Yang, Dong-Hyun Kim
2025	J	`jnl`	Toward automated detection of microbleeds with anatomical scale localization using deep learning. Medical Image Anal. Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung-Yeop Kim, Mohammed A. Al-masni, Donghyun Kim
2025	J	`jnl`	Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency. Eng. Appl. Artif. Intell. Seuk Kim, Mohammed A. Al-masni, Seul Lee, Sunyoung Jung, Kyu-Jin Jung, Chuanjiang Cui, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim
2024	—	`conf`	Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. MICCAI (9) Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Donghyun Kim
2024	J	`jnl`	Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning. CoRR Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Dong-Hyun Kim
2023	J	`jnl`	A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. Comput. Biol. Medicine Mohammed A. Al-masni, Seul Lee, Abobakr Khalil Alshamiri, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim
2023	J	`jnl`	A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities. Comput. Methods Programs Biomed. Yoonseok Choi, Mohammed A. Al-masni, Kyu-Jin Jung, Roh-Eul Yoo, Seong-Yeong Lee, Dong-Hyun Kim
2023	J	`jnl`	Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. CoRR 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
2022	—	`conf`	1D-DCGAN for Oversampling Minority Mitotic Patterns in HEp-2 Cell Images. LifeTech Asaad Anaam, Mohammed A. Al-masni, Akio Gofuku
2022	—	`conf`	A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net). AICAS Jun-Ho Kim, Mohammed A. Al-masni, Haejoon Lee, Yoon-Seok Choi, Dong-Hyun Kim
2022	—	`conf`	Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. MICCAI (1) Jun-Ho Kim, Mohammed A. Al-masni, Seul Lee, Haejoon Lee, Dong-Hyun Kim
2022	J	`jnl`	Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI. NeuroImage Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim
2021	—	`conf`	3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge. BrainLes@MICCAI (1) Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim
2021	J	`jnl`	3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. IEEE Access Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim
2021	J	`jnl`	Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI. CoRR Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim
2020	—	`conf`	A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. EMBC Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim
2020	J	`jnl`	Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Comput. Methods Programs Biomed. Mohammed A. Al-masni, Dong-Hyun Kim, Tae-Seong Kim
2020	J	`jnl`	Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks. IEEE Access Hunjin Chung, Koung Mi Kang, Mohammed A. Al-masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim
2018	J	`jnl`	A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. Int. J. Medical Informatics Mugahed A. Al-antari, Mohammed A. Al-masni, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim
2018	J	`jnl`	Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. Comput. Methods Programs Biomed. 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
2018	J	`jnl`	Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Comput. Methods Programs Biomed. Mohammed A. Al-masni, Mugahed A. Al-antari, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim
2017	—	`conf`	Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. EMBC 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
2017	—	`conf`	Non-local means filter denoising for DEXA images. EMBC 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, Tae-Seong Kim
2016	—	`conf`	A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. CENTERIS/ProjMAN/HCist S. U. Park, J. H. Park, Mohammed A. Al-masni, Mugahed A. Al-antari, Md. Zia Uddin, Tae-Seong Kim