Articles

Deep learning techniques for isointense infant brain tissue segmentation: a systematic literature review

in Nuclear Medicine

• Sandile Thamie Mhlanga
• Serestina Viriri

Dilated convolution network with edge fusion block and directional feature maps for cardiac MRI segmentation

in Computational Physiology and Medicine

• Zhensen Chen
• Jieyun Bai
• Yaosheng Lu

Cardiac MRI segmentation of the atria based on UU-NET

in Cardiovascular Imaging

• Yi Wang
• Shu-Ting Li
• Jing Huang
• Qing-Quan Lai
• Yi-Fan Guo
• Yin-Hui Huang
• Yuan-Zhe Li

Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues

• Liangliang Liu
• Jing Zhang
• Jin-xiang Wang
• Shufeng Xiong
• Hui Zhang

A bibliometric analysis of cerebral small vessel disease

in Neurocognitive Aging and Behavior

• Xiaoxiao Yan
• Yongyin Zhang
• Ruqian He
• Xiachan Chen
• Mian Lin

Attention-enhanced SAM with PBFO tuning: advancing glioma MRI segmentation

in Precision Medicine

• Salem Alhatamleh
• Hamad Yahia Abu Mhanna
• Mohammad Amin
• Amal Alishwait
• Mohammad Latayfeh
• Qutaiba Mohammad
• Ghada A. Khouqeer
• Abdullah Alrefai
• Sitah Alanazi
• Kholoud J. Sandougah

Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline

in Brain Imaging Methods

• Hanna Jokinen
• Nicolau Gonçalves
• Ricardo Vigário
• Jari Lipsanen
• Franz Fazekas
• Reinhold Schmidt
• Frederik Barkhof
• Sofia Madureira
• Ana Verdelho
• Domenico Inzitari

AI-assisted MRI segmentation analysis of brain region volume alterations in Parkinson’s disease

in Brain Health and Clinical Neuroscience

• He Sui
• Zhanhao Mo
• Huiyan Luan
• Weisha Yao
• Meijun Wang
• Lei Zhang

Unsupervised semi-automated MRI segmentation detects cortical lesion expansion in chronic traumatic brain injury

in Applied Neuroimaging

• Holly J. Freeman
• Alexander S. Atalay
• Jian Li
• Evie Sobczak
• Natalie Gilmore
• Samuel B. Snider
• Brian C. Healy
• Holly Carrington
• Enna Selmanovic
• Ariel Pruyser

Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies

in Cardiovascular Imaging

• Samer Alabed
• Ahmed Maiter
• Mahan Salehi
• Aqeeb Mahmood
• Sonali Daniel
• Sam Jenkins
• Marcus Goodlad
• Michael Sharkey
• Michail Mamalakis
• Vera Rakocevic

Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT

• Meera Srikrishna
• Rolf A. Heckemann
• Joana B. Pereira
• Giovanni Volpe
• Anna Zettergren
• Silke Kern
• Eric Westman
• Ingmar Skoog
• Michael Schöll

Quantitative reliability assessment of brain MRI volumetric measurements in type II GM1 gangliosidosis patients

in Clinical Neuroimaging

• Christopher Zoppo
• Josephine Kolstad
• Jean Johnston
• Precilla D'Souza
• Anna Luisa Kühn
• Zeynep Vardar
• Ahmet Peker
• Clifford Lindsay
• Zubir S. Rentiya
• Robert King

CASNet: curvature-aware cardiac MRI segmentation with multi-scale and attention-driven encoding for enhanced risk-oriented structural analysis

in Precision Medicine

• Yan Du
• Kaisen Huang
• Miaomiao Yue
• Cheng Chen
• Xiaojian Deng
• Ning Wang

BT-CAP: A Subcomponent-Aware and Anatomically Constrained Data Augmentation Framework for Multi-Modal Brain Tumor MRI Segmentation

in Artificial Intelligence in Radiology

• Amin Tavallaii
• Shamim Shah Ghasi

MRF-Net: A multi-branch residual fusion network for fast and accurate whole-brain MRI segmentation

in Brain Imaging Methods

• Chong Wei
• Yanwu Yang
• Xutao Guo
• Chenfei Ye
• Haiyan Lv
• Yang Xiang
• Ting Ma

How should studies using AI be reported? lessons from a systematic review in cardiac MRI

in Artificial Intelligence in Radiology

• Ahmed Maiter
• Mahan Salehi
• Andrew J. Swift
• Samer Alabed