Evolution of Brain Tumor and Stability of Geometric Invariants by K. Tawbe, F. Cotton, L. Vuillon

“…This paper presents a method to reconstruct and to calculate geometric invariants on brain tumors. The geometric invariants considered in the paper are the volume, the area, the discrete Gauss curvature, and the discrete mean curvature. …”
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Result of Surgery to Patients with Brain Tumor in Cienfuegos by Jorge Luis Acevedo Cardoso, Samuel Sánchez Sánchez, Yoniel Suárez Guerrero, Tamara García Alfonso de Armas, Wendy Gómez Menéndez

“…<strong>Foundation:</strong> brain tumors cause high mortality, decrease in quality of life and impact negatively family health. …”
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Focused ultrasound for treatment of peripheral brain tumors by Phillip Mitchell Johansen, Payton Yerke Hansen, Ali A. Mohamed, Sarah J. Girshfeld, Marc Feldmann, Brandon Lucke-Wold

“…Malignant brain tumors are the leading cause of cancer-related death in children and remain a significant cause of morbidity and mortality throughout all demographics. …”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

“… This paper presents a brain tumor segmentation system for MRI images using Convolutional Neural Networks (CNNs). …”
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Brain-targeting Nanoparticle Drug Delivery Systems for Brain Tumors by Yi Zhao, Yamin Cui, Yuanyuan Sun

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Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

“…The authors used VGG-16, ResNet-50, and AlexNet models based on the transfer learning algorithm for three models to classify images as an ensemble model. As a result, MRI brain tumor segmentation is more precise because each spatial feature point can now refer to all other contextual data. …”
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Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities by Jiarui Zhang, Jinan Zhang, Chen Yang

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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…The diagnosis of brain tumors through magnetic resonance imaging (MRI) has become highly significant in the field of medical science. …”
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Brain Tumor Segmentation Based on Hybrid Clustering and Morphological Operations by Chong Zhang, Xuanjing Shen, Hang Cheng, Qingji Qian

“…Inference of tumor and edema areas from brain magnetic resonance imaging (MRI) data remains challenging owing to the complex structure of brain tumors, blurred boundaries, and external factors such as noise. …”
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Metastatic brain tumors: from development to cutting‐edge treatment by Guilong Tanzhu, Liu Chen, Jiaoyang Ning, Wenxiang Xue, Ce Wang, Gang Xiao, Jie Yang, Rongrong Zhou

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Association between a Primitive Brain Tumor and Cerebral Aspergillosis by Siegfried Hélage, Charles Duyckaerts, Danielle Seilhean, Jean-Jacques Hauw, Jacques Chiras

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Plasticity of the Primary Motor Cortex in Patients with Primary Brain Tumors by Nathan W. Kong, William R. Gibb, Suvarna Badhe, Benjamin P. Liu, Matthew C. Tate

“…In a retrospective case series of 13 patients, we utilize a novel paradigm that analyzes serial fMRI scans in patients harboring intrinsic brain tumors that vary in location and growth kinetics to better understand the mechanisms underlying these two modes of plasticity in the human primary motor cortex. …”
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Dilated SE-DenseNet for brain tumor MRI classification by Yuannong Mao, Jiwook Kim, Lena Podina, Mohammad Kohandel

“…Abstract In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an advanced convolutional neural network (CNN) leveraging the DenseNet-121 architecture, enhanced with dilated convolutional layers and Squeeze-and-Excitation (SE) networks’ attention mechanisms. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. However, traditional methods face challenges such as data privacy, model interpretability, and data heterogeneity. …”
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An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification by Mohammed Bourennane, Hilal Naimi

Subjects: “…Convolutional neural network; Support Vector Machines; Brain tumors; Efficientnetb0; Gaussian kernel function.…”
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Stochastic modelling of PTEN regulation in brain tumors: A model for glioblastoma multiforme by Margherita Carletti, Matteo Montani, Valentina Meschini, Marzia Bianchi, Lucia Radici

Subjects: “…brain tumors…”
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YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance by Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu

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Activities of Some Medicinal Plants on the Proliferation and Invasion of Brain Tumor Cell Lines by Saidu I. Ngulde, Umar K. Sandabe, Roger Abounader, Ying Zhang, Isa M. Hussaini

“…U87 and U231 brain tumor cell lines were used for proliferation assay, U251 cell line was used for the invasion assay in collagen V coated inserts, and U87 cell line was used for the western blot detection of cleaved Poly-ADP-Ribose-Polymerase (PARP). …”
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PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

Subjects: “…Brain tumor detection…”
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Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon

Subjects: “…brain tumor detection…”
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