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Mohammed A. Al-masni
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2020 – today
- 2024
- [c9]Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Donghyun Kim:
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. MICCAI (9) 2024: 213-222 - 2023
- [j9]Mohammed A. Al-masni
, Seul Lee
A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. Comput. Biol. Medicine 153: 106553 (2023) - [j8]Yoonseok Choi, Mohammed A. Al-masni
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities. Comput. Methods Programs Biomed. 240: 107644 (2023) - [i2]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:
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. CoRR abs/2306.13020 (2023) - 2022
- [j7]Mohammed A. Al-masni
Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI. NeuroImage 259: 119411 (2022) - [c8]Jun-Ho Kim, Mohammed A. Al-masni
A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net). AICAS 2022: 1-4 - [c7]Asaad Anaam
1D-DCGAN for Oversampling Minority Mitotic Patterns in HEp-2 Cell Images. LifeTech 2022: 172-174 - [c6]Jun-Ho Kim
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. MICCAI (1) 2022: 452-460 - 2021
- [j6]Mohammed A. Al-Masni
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. IEEE Access 9: 11787-11797 (2021) - [c5]Yoonseok Choi, Mohammed A. Al-masni
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge. BrainLes@MICCAI (1) 2021: 333-343 - [i1]Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim:
Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI. CoRR abs/2111.06401 (2021) - 2020
- [j5]Hunjin Chung, Koung Mi Kang, Mohammed A. Al-Masni
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks. IEEE Access 8: 43325-43335 (2020) - [j4]Mohammed A. Al-masni
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Comput. Methods Programs Biomed. 190: 105351 (2020) - [c4]Mohammed A. Al-masni
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. EMBC 2020: 1055-1058
2010 – 2019
- 2018
- [j3]Mohammed A. Al-masni
Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. Comput. Methods Programs Biomed. 157 (2018) - [j2]Mohammed A. Al-masni
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Comput. Methods Programs Biomed. 162: 221-231 (2018) - [j1]Mugahed A. Al-antari
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. Int. J. Medical Informatics 117: 44-54 (2018) - 2017
- [c3]Mugahed A. Al-antari
Non-local means filter denoising for DEXA images. EMBC 2017: 572-575 - [c2]Mohammed A. Al-masni
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. EMBC 2017: 1230-1233 - 2016
- [c1]S. U. Park, J. H. Park, Mohammed A. Al-Masni
A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. CENTERIS/ProjMAN/HCist 2016: 78-84
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last updated on 2024-10-11 18:20 CEST by the dblp team
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