M. A. Al-masni

发表

A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services

Md. Zia Uddin, Tae-Seong Kim, S. U. Park, 2016, CENTERIS/ProjMAN/HCist.

Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network

M. A. Al-masni, M. A. Al-antari, J. M. Park, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Single Depth Sensor Based Human Activity Recognition via Convolutional Neural Network

Md. Zia Uddin, S. U. Park, M. A. Al-masni, 2017 .

A rapid algebraic 3D volume image reconstruction technique for cone beam computed tomography

M. A. Al-masni, M. A. Al-antari, Y. Kadah, 2017 .

A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net)

M. A. Al-masni, Dong-Hyun Kim, Jun-Ho Kim, 2022, 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Detection of Cerebral Microbleeds in MR Images Using a Single‐Stage Triplanar Ensemble Detection Network (TPE‐Det)

M. A. Al-masni, C. Sohn, Woo-Ram Kim, 2022, Journal of magnetic resonance imaging : JMRI.

Taxonomy metagenomic analysis for microbial sequences in three domains system via machine learning approaches

Heba M. Afify, M. A. Al-masni, Mohammed A. Al-masni, 2018 .

CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation

M. A. Al-masni, Dong-Hyun Kim, 2021, Scientific Reports.

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

Dong-Hyun Kim, Tae-Seong Kim, M. A. Al-masni, 2020, Comput. Methods Programs Biomed..

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

Mun-Taek Choi, Mugahed A. Al-antari, Seung-Moo Han, 2018, Comput. Methods Programs Biomed..

Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System

Edwin Valarezo, Mun-Taek Choi, Tae-Yeon Kim, 2018, Comput. Methods Programs Biomed..

Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.

Tae-Seong Kim, M. A. Al-masni, M. A. Al-antari, 2020, Advances in experimental medicine and biology.

An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

Yasser M. Kadah, Mugahed A. Al-antari, Seung-Moo Han, 2018 .

A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms

M. A. Al-masni, M. A. Al-antari, N. A. Samee, 2022, Biomedicines.

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

Tae-Seong Kim, Mun-Taek Choi, Mugahed A. Al-antari, 2018, Int. J. Medical Informatics.

Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach

M. A. Al-masni, E. Kim, Dong-Hyun Kim, 2020, NeuroImage: Clinical.

A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection

Dong-Hyun Kim, Eung Yeop Kim, M. A. Al-masni, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI

Abobakr Khalil Al-Shamiri, M. A. Al-masni, Sung-Min Gho, 2023, Comput. Biol. Medicine.

Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI pdf

Dong-Hyun Kim, M. A. Al-masni, Sung-Min Gho, 2021, NeuroImage.

3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention

Dong-Hyun Kim, Eung Yeop Kim, M. A. Al-masni, 2021, IEEE Access.

3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge

M. A. Al-masni, Yoon-Hee Choi, Dong-Hyun Kim, 2021, BrainLes@MICCAI.

A Deep Learning Model Integrating FrCN and Residual Convolutional Networks for Skin Lesion Segmentation and Classification

Mugahed A. Al-antari, Tae-Seong Kim, M. A. Al-masni, 2019, 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS).

Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model

M. A. Al-masni, Abdulrahman H. Ba-Alawi, C. Yoo, 2023, Journal of Water Process Engineering.

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

M. A. Al-masni, M. A. Al-antari, Mun-Taek Choi, 2018 .

Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks

Kanghyun Ryu, Dong-Hyun Kim, M. A. Al-masni, 2020, IEEE Access.

Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning

M. A. Al-masni, Woo-Ram Kim, Y. Noh, 2023, ArXiv.

Data‐driven electrical conductivity brain imaging using 3 T MRI

M. A. Al-masni, C. V. D. van den Berg, S. Mandija, 2023, Human brain mapping.

A refactoring categorization model for software quality improvement

M. A. Al-masni, H. Mahdin, Yazid Saif, 2023, PloS one.

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

M. A. Al-masni, M. A. Al-antari, Mun-Taek Choi, 2018, Comput. Methods Programs Biomed..

A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities

M. A. Al-masni, Roh-Eul Yoo, Dong-Hyun Kim, 2023, Comput. Methods Programs Biomed..

Augmented Reality Surgical Navigation System Integrated with Deep Learning

M. A. Al-masni, Hao-Li Liu, Pin-Yuan Chen, 2023, Bioengineering.