MainReads

Discover Books. Explore Knowledge.

Home » Academic Articles & Research Papers

Academic Articles & Research Papers

Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.

Reset
Showing 7 of 7 academic articles

MRI Application in Quantification of Epiphyseal Development in the Wrist and Bone Age Estimation of Han Male Adolescents in East China

ZHOU Zhi-lu, ZHANG Dong-fei, CHEN Jie-min, WANG Ya-hui et al. • Fayixue Zazhi (2024)

ObjectiveTo investigate the value of wrist MRI in bone age estimation for male adolescents in Shanghai, Zhejiang and Jiangsu.MethodsA total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai, Zhejiang and Jiangsu were selected...

DOAJ Open Access (DOAJ) DOI: 10.12116/j.issn.1004-5619.2023.231203

Data Efficient Vision Transformer Based Model for Brain Tumor Classification in MRI

Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems (2026)

Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.570662.1424

Brain tumor grading based on Neural Networks and Convolutional Neural Networks

Yuehao Pan, Weimin Huang, Zhiping Lin, Wanzheng Zhu et al. • Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2015)

This paper studies brain tumor grading using multiphase MRI images and compares the results with various configurations of deep learning structure and baseline Neural Networks. The MRI images are used directly into the learning machine, wit...

OPENALEX DOI: https://doi.org/10.1109/embc.2015.7318458

Applications of deep learning to MRI images: A survey

Jin Liu, Yi Feng Pan, Min Li, Ziyue Chen et al. • Big Data Mining and Analytics (2018)

Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, and is seen as a key method for various future applications. On account of its non-invasive and good soft tiss...

OPENALEX cc-by DOI: https://doi.org/10.26599/bdma.2018.9020001

Correlation analysis between preoperative MRI image features based on image reconstruction algorithms and incision healing in patients with benign hepatobiliary diseases undergoing postoperative drainage tube placement

Chunlong Shao, Ning Zhang, Wei Du, Han Li et al. • Journal of Radiation Research and Applied Sciences (2026)

Objective: This study was designed to examine the association between preoperative abdominal MRI features derived using a deep learning-based reconstruction (DL-Recon) algorithm and postoperative surgical incision-healing outcomes, while ev...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jrras.2026.102395

A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm

Srigiri Krishnapriya, Yepuganti Karuna • Frontiers in Oncology (2024)

IntroductionBrain tumors are a common disease that affects millions of people worldwide. Considering the severity of brain tumors (BT), it is important to diagnose the disease in its early stages. With advancements in the diagnostic process...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2024.1347363

An automated deep learning framework for brain tumor classification using MRI imagery

Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports (2025)

Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-02209-2