BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

CBAM: Convolutional Block Attention Module

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Hypercolumns for object segmentation and fine-grained localization

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Multi-grade brain tumor classification using deep CNN with extensive data augmentation

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Adaptive batch normalization for practical domain adaptation

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A comparison of deep networks with ReLU activation function and linear spline-type methods

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Residual Networks of Residual Networks: Multilevel Residual Networks

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A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models

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BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

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Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

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On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

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Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks

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Nutritional profiling of hilsa (Tenualosa ilisha) of different size groups and sensory evaluation of their adults from different riverine systems

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Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

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Predictive Modeling of Brain Tumor: A Deep Learning Approach

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Brain wave classification using long short-term memory network based OPTICAL predictor

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Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns

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Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

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A simple and intelligent approach for brain MRI classification

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Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models

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DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images

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Improved Faster R-CNN Traffic Sign Detection Based on a Second Region of Interest and Highly Possible Regions Proposal Network

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MRI Brain Images Classification: A Multi-Level Threshold Based Region Optimization Technique

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Diagnosis of Eye Retinal Diseases Based on Convolutional Neural Networks Using Optical Coherence Images

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Geometry Aware Constrained Optimization Techniques for Deep Learning

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Brain tumors: Special characters for research and banking

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Subclass Separation of White Blood Cell Images Using Convolutional Neural Network Models

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Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network

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Mini-batch algorithms with online step size

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Hybrid gray wolf optimizer–artificial neural network classification approach for magnetic resonance brain images

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Cancer around the brain

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DEEP LEARNING APPROACH FOR CLASSIFICATION OF BREAST CANCER

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Minimizing Medical Radiation Exposure by Incorporating a New Radiation “Vital Sign” into the Electronic Medical Record: Quality of Care and Patient Safety

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Sign Language Recognition Based on CBAM-ResNet

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Change Detection in Synthetic Aperture Radar Images based on Convolutional Block Attention Module

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Skin Lesion Segmentation using Deep Hypercolumn Descriptors

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Biyomedikal Görüntülerde Derin Öğrenme ile Mevcut Yöntemlerin Kıyaslanması

Toğaçar, M., & Ergen, B. (2019) · DergiPark (Istanbul University) · Cited by 11 · see citing works

Deep MLP neural network control of bioreactor

Salah, L. B., & Fourati, F. (2019) · International Renewable Energy Congress · doi:10.1109/irec.2019.8754572 · Cited by 9 · see citing works

ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI

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A Simple yet Effective Method to Prune Dense Layers of Neural Networks

Babaeizadeh, M., Smaragdis, P., & Campbell, R. H. (2017) · Cited by 7 · see citing works

Densely connected convolutional network block based autoencoder for panorama map compression

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Zatürre Hastalığının Derin Öğrenme Modeli ile Tespiti

Toğaçar, M., Ergen, B., & Sertkaya, M. E. (2019) · DSpace - FIRAT (Fırat University) · Cited by 6 · see citing works

Improving Residual Block for Semantic Image Segmentation

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Hypercolumn Sparsification for Low-Power Convolutional Neural Networks

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Deep Anchored Convolutional Neural Networks

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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

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Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

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A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization

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Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM

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Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

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Role of deep learning in brain tumor detection and classification (2015 to 2020): A review

Nazir, M., Shakil, S., & Khurshid, K. (2021) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2021.101940 · Cited by 293 · see citing works

Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images

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MRI brain tumor detection and classification using parallel deep convolutional neural networks

Rahman, T., & Islam, M. S. (2023) · Measurement Sensors · doi:10.1016/j.measen.2023.100694 · Cited by 216 · see citing works

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

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Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning

Almufareh, M. F., Imran, M., Khan, A., Humayun, M., & Asim, M. F. (2024) · IEEE Access · doi:10.1109/access.2024.3359418 · Cited by 200 · see citing works

Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning

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Differential Deep Convolutional Neural Network Model for Brain Tumor Classification

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An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning

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Transfer Learning Using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images

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Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model

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Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks

Toğaçar, M., Cömert, Z., & Ergen, B. (2021) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2021.110714 · Cited by 148 · see citing works

On the Performance of Deep Transfer Learning Networks for Brain Tumor Detection Using MR Images

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Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

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Computer-Aided Brain Tumor Diagnosis: Performance Evaluation of Deep Learner CNN Using Augmented Brain MRI

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A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers

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An MRI-based deep learning approach for efficient classification of brain tumors

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A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis

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A comprehensive survey on convolutional neural network in medical image analysis

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2D MRI image analysis and brain tumor detection using deep learning CNN model LeU-Net

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A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images

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An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD

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Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

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An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification

Maqsood, S., Damaševičius, R., & Shah, F. M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86976-2_8 · Cited by 89 · see citing works

Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network

Gull, S., Akbar, S., & Khan, H. U. (2021) · BioMed Research International · doi:10.1155/2021/3365043 · Cited by 92 · see citing works

Brain Tumor Detection and Classification on MR Images by a Deep Wavelet Auto-Encoder Model

Kader, I. A. E., Xu, G., Zhang, S., Saminu, S., Javaid, I., Ahmad, I. S., & Kamhi, S. (2021) · Diagnostics · doi:10.3390/diagnostics11091589 · Cited by 84 · see citing works

Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm

Emam, M. M., Samee, N. M. A., Jamjoom, M. M., & Houssein, E. H. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.106966 · Cited by 84 · see citing works

TumorDetNet: A unified deep learning model for brain tumor detection and classification

Ullah, N., Javed, A., Alhazmi, A. H., Hasnain, S. M., Tahir, A., & Ashraf, R. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291200 · Cited by 81 · see citing works

Transfer learning architectures with fine-tuning for brain tumor classification using magnetic resonance imaging

Islam, M. M., Barua, P., Rahman, M., Ahammed, T., Akter, L., & Uddin, J. (2023) · Healthcare Analytics · doi:10.1016/j.health.2023.100270 · Cited by 78 · see citing works

Multiclass classification of brain tumors using a novel CNN architecture

Kibriya, H., Masood, M., Nawaz, M., & Nazir, T. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12977-y · Cited by 72 · see citing works

Brain Tumor Classification and Detection Based DL Models: A Systematic Review

Neamah, K., Mohamed, F., Adnan, M. M., Saba, T., Bahaj, S. A., Kadhim, K. A., & Rehman, A. U. (2023) · IEEE Access · doi:10.1109/access.2023.3347545 · Cited by 74 · see citing works

Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks

Toğaçar, M., Ergen, B., & Cömert, Z. (2020) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02290-x · Cited by 69 · see citing works

A Transfer Learning-Based Approach for Brain Tumor Classification

Bibi, N., Wahid, F., Ma, Y., Ali, S., Abbasi, I. A., Alkhayyat, A. H., & Khyber (2024) · IEEE Access · doi:10.1109/access.2024.3425469 · Cited by 68 · see citing works

A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms

Başaran, E. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105857 · Cited by 67 · see citing works

Improving brain tumor classification with combined convolutional neural networks and transfer learning

İncir, R., & Bozkurt, F. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111981 · Cited by 69 · see citing works

Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach

Asad, R., Rehman, S. U., Imran, A., Li, J., Almuhaimeed, A., & Alzahrani, A. (2023) · Biomedicines · doi:10.3390/biomedicines11010184 · Cited by 71 · see citing works

Detection of brain abnormality by a novel Lu-Net deep neural CNN model from MR images

Rai, H. M., & Chatterjee, K. (2020) · Machine Learning with Applications · doi:10.1016/j.mlwa.2020.100004 · Cited by 64 · see citing works

Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction

Renugadevi, M., Narasimhan, K., Ravikumar, C. V., Anbazhagan, R., Pau, G., Ramkumar, K., Abbas, M. A. E., Raju, N., Sathish, K., & Prabu, S. (2023) · IEEE Access · doi:10.1109/access.2023.3326841 · Cited by 63 · see citing works

A Sequential Machine Learning-cum-Attention Mechanism for Effective Segmentation of Brain Tumor

Ali, T. M., Nawaz, A., Rehman, A. U., Ahmad, R. Z., Javed, A. R., Gadekallu, T. R., Chen, C., & Wu, C.-M. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.873268 · Cited by 60 · see citing works

DCNNBT: A NOVEL DEEP CONVOLUTION NEURAL NETWORK-BASED BRAIN TUMOR CLASSIFICATION MODEL

Haq, M. A., Khan, I., Ahmed, A. U., Eldin, S. M., Alshehri, A., & Ghamry, N. A. (2023) · Fractals · doi:10.1142/s0218348x23401023 · Cited by 60 · see citing works

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction

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Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging

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Brain Tumor Detection and Classification Using an Optimized Convolutional Neural Network

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Optimized deep learning model for comprehensive medical image analysis across multiple modalities

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Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey

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Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks

Rastogi, D., Johri, P., Donelli, M., Kumar, L., Bindewari, S., Raghav, A., & Khatri, S. K. (2025) · Life · doi:10.3390/life15030327 · Cited by 57 · see citing works

AI in MRI brain tumor diagnosis: A systematic review of machine learning and deep learning advances (2010–2025)

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C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet

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A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network

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