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Advances and innovations in neuroimaging

Guest Editor

Mehmet A. Ozdemir, PhD, Department of Biomedical Engineering, Izmir Katip Celebi University, Turkiye


BMC Medical Imaging was calling for submissions to our Collection on Advances and innovations in neuroimaging. The field of neuroimaging is undergoing a revolutionary phase, marked by unprecedented advances and groundbreaking innovations. Recent developments have provided researchers with unparalleled insights into the intricacies of structures and functions of the nervous system. This collection welcomed original research articles that unravel the latest advances in neuroimaging, exploring where we stand today and gathering the evidence from which to build the promising horizons that lie ahead.

Meet the Guest Editor

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Mehmet A. Ozdemir, PhD, Department of Biomedical Engineering, Izmir Katip Celebi University, Turkiye

Mehmet works as a research assistant in the Department of Biomedical Engineering at Izmir Katip Celebi University, Turkiye, and currently conducts research at the Berenson-Allen Center for Noninvasive Brain Stimulation at Beth Israel Deaconess Medical Center, Harvard Medical School. His primary research focus is the investigation of neuroimaging and neurophysiological data for the early diagnosis of various neurological and psychological disorders utilizing machine learning, deep learning, and biomedical signal/image processing techniques. He also serves as an editorial board member and as a senior editor in several BMC journals.


About the Collection

BMC Medical Imaging is calling for submissions to our Collection on Advances and innovations in neuroimaging. The field of neuroimaging is undergoing a revolutionary phase, marked by unprecedented advances and groundbreaking innovations. Recent developments have provided researchers with unparalleled insights into the intricacies of structures and functions of the nervous system. These tools bear the potential to enhance our understanding of neurological disorders, paving the way for more precise and efficient interpretation of complex brain data and ultimately facilitating early and accurate diagnosis. The applications of these advancements span across clinical settings, enabling clinicians to tailor treatments and monitor therapeutic responses. As we stand at the forefront of neuroimaging, the promises for the future are compelling, with ongoing efforts in miniaturization, portability, and the exploration of novel imaging modalities.

This collection welcomes original research articles that unravel the latest advances in neuroimaging, exploring where we stand today and gathering the evidence from which to build the promising horizons that lie ahead.


Image credit: imaginima/ Getty Images/ iStock.com

  1. Cervical spondylotic myelopathy (CSM) is the most common chronic spinal cord injury with poor surgical and neurologic recovery in the advanced stages of the disease. DTI parameters can serve as important bioma...

    Authors: Xiaoyun Wang, Xiaonan Tian, Yujin Zhang, Baogen Zhao, Ning Wang, Ting Gao and Li Zhang
    Citation: BMC Medical Imaging 2024 24:260
    Content type: Research Published on:

  2. Alzheimer’s disease (AD) is a type of neurological illness that significantly impacts individuals’ daily lives. In the intelligent diagnosis of AD, 3D networks require larger computational resources and storag...

    Authors: Qiongmin Zhang, Ying Long, Hongshun Cai, Siyi Yu, Yin Shi and Xiaowei Tan
    Citation: BMC Medical Imaging 2024 24:258
    Content type: Research Published on:

  3. This study aims to utilize the deep learning method of VB-Net to locate and segment the trigeminal nerve, and employ radiomics methods to distinguish between CTN patients and healthy individuals.

    Authors: Lei Pan, Xuechun Wang, Xiuhong Ge, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Feng Shi and Zhongxiang Ding
    Citation: BMC Medical Imaging 2024 24:246
    Content type: Research Published on:

  4. Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects an individual's behavior, speech, and social interaction. Early and accurate diagnosis of ASD is pivotal for successful interventio...

    Authors: Yujing Zhou, Guangbo Jia, Yingtong Ren, Yingxin Ren, Zhifeng Xiao and Yinmei Wang
    Citation: BMC Medical Imaging 2024 24:186
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Advances and innovations in neuroimaging" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.