Brain Tumor

Brain tumor research focuses on improving the accuracy and efficiency of diagnosis and treatment planning, primarily using magnetic resonance imaging (MRI). Current research emphasizes the development of sophisticated deep learning models, including convolutional neural networks (CNNs), vision transformers, and hybrid architectures incorporating attention mechanisms, to analyze multi-modal MRI data and perform tasks such as tumor segmentation and classification. These advancements aim to improve diagnostic accuracy, personalize treatment strategies, and ultimately enhance patient outcomes, impacting both clinical practice and the broader medical imaging field.

Papers

October 25, 2022

A deep learning approach for brain tumor detection using magnetic resonance imaging
Al-Akhir Nayan, Ahamad Nokib Mozumder, Md. Rakibul Haque, Fahim Hossain Sifat, Khan Raqib Mahmud, Abul Kalam Al Azad, Muhammad Golam Kibria
Neural Network Magnetic Resonance Imaging Deep Learning Approach Direct Convolution Convolution Layer Brain Tumor Brain Tumor Detection

October 6, 2022

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus
Medical Imaging Tumor Segmentation Brain Tumor Cancer Patient Workflow Composition Multi Parametric MRI

September 20, 2022

Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images
Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
Tumor Segmentation Brain Tumor Segmentation Brain Tumor Superpixel Segmentation

August 28, 2022

Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks
Gopinath Balaji, Ranit Sen, Harsh Kirty
Classification Code Data Detection Deep Convolutional Neural Network State of the Art Brain Tumor Magnetic Resonance Image Real Tumor Diffuse Glioma

August 26, 2022

Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
Zecheng Liu, Jia Wei, Rui Li
Tumor Segmentation Brain Tumor Segmentation Brain Tumor Multi Modality Image

August 1, 2022

Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images
Yusuf Brima, Marcellin Atemkeng
Deep Learning Deep Neural Network Visual Representation Brain Tumor Attribution Method Model Interpretability Explainable Deep Learning

July 27, 2022

Brain Tumor Diagnosis and Classification via Pre-Trained Convolutional Neural Networks
Dmytro Filatov, Ghulam Nabi Ahmad Hassan Yar
Convolutional Neural Network Classification Code Magnetic Resonance Imaging Brain Tumor Magnetic Resonance Image Pre Trained Convolutional Neural Network

June 17, 2022

Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network
Pramit Dutta, Khaleda Akhter Sathi, Md. Saiful Islam
Deep Neural Network Transfer Learning Pre Trained Brain Tumor InceptionV3 Model Multi Category

June 13, 2022

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients
Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang
Brain Tumor Survival Prediction ATAC Net Multi Modal Magnetic Resonance Global Pooling

June 6, 2022

CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey
Classification Code Deep Convolutional Neural Network Brain Tumor Segmentation Topological Feature Brain Tumor Convolutional Recurrent Neural Network

June 4, 2022

Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients
Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
Brain Tumor Radiomics Feature Imaging Technique Deep Survival Texture Quality Imaging Data Blood Biomarkers

June 2, 2022

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning
Md. Atik Ahamed, Rabeya Tus Sadia
Convolutional Neural Network Transfer Learning Supervised ImageNet State of the Art Binary Classification BEHAVIOR Explanation Brain Tumor Multi Class Brain Tumor Detection

April 29, 2022

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget, A. Pedersen, A. S. Jakola, V. Kavouridis, K. E. Emblem, R. S. Eijgelaar, I. Kommers, H. Ardon, F. Barkhof, L. Bello, M. S. Berger, M. C. Nibali, J. Furtner, S. Hervey-Jumper, A. J. S. Idema, B. Kiesel, A. Kloet, E. Mandonnet, D. M. J. Müller, P. A. Robe, M. Rossi, T. Sciortino, W. Van den Brink, M. Wagemakers, G. Widhalm, M. G. Witte, A. H. Zwinderman, P. C. De Witt Hamer, O. Solheim, I. Reinertsen
Full Model Tumor Segmentation Brain Tumor Software System Tumor Detection Health Metric Surgical Video Segmentation Structured Reporting

April 26, 2022

Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Amin Abdollahi Dehkordi, Mina Hashemi, Mehdi Neshat, Seyedali Mirjalili, Ali Safaa Sadiq
Classification Code Brain Tumor Brain MRI Brain Tumor Detection Brain MR Image

April 4, 2022

A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction
Sanskriti Singh
Brain Tumor MRI Data Mask R CNN Image Difference

March 10, 2022

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging
Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng
Convolutional Neural Network Deep Convolutional Neural Network Magnetic Resonance Imaging Radiomics Feature Brain Tumor Molecular Subtypes Glioma Subtype Classification

January 16, 2022

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
Deep Learning Model Brain Tumor Glioblastoma Patient Brain Cancer

January 14, 2022

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Saddam Hussain Khan, Asifullah Khan
Magnetic Resonance Imaging Tumor Segmentation Brain Tumor Hybrid Deep Learning Two Stage Deep Learning

January 12, 2022

Detection of brain tumors using machine learning algorithms
Horacio Corral, Javier Melchor, Balam Sotelo, Jorge Vera
General Analysis Data Detection Practical Algorithm New Machine Machine Learning Algorithm Brain Tumor

January 11, 2022

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
Himashi Peiris, Zhaolin Chen, Gary Egan, Mehrtash Harandi
Adversarial Learning Segmentation Task Solution Path Brain Tumor Segmentation Brain Tumor Robust Segmentation BRAT Challenge Virtual Adversarial Training Reciprocal Learning

Brain Tumor

Papers

A deep learning approach for brain tumor detection using magnetic resonance imaging

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)

Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images

Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks

Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning

Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images

Brain Tumor Diagnosis and Classification via Pre-Trained Convolutional Neural Networks

Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients

CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification

Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting

Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network

A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI

Detection of brain tumors using machine learning algorithms

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task