Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

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Rubik-Net: Learning Spatial Information via Rotation-Driven Convolutions for Brain Segmentation

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Residual Block Based Nested U-Type Architecture for Multi-Modal Brain Tumor Image Segmentation

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A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical Segmentation

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The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities.

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A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural Network

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Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation

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Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Model with Spatial Constraints

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Extraction of Gliomas from 3D MRI Images using Convolution Kernel Processing and Adaptive Thresholding

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Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

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Application of Partial Differential Equation in Brain Image Segmentation and Registration

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Machine Intelligence in Biomedical Data Modeling, Processing, and Analysis

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An automatic and accurate deep learning-based neuroimaging pipeline for the neonatal brain

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Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights

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Underwater Acoustic Target Classification Using Scattering Transform With Small Sample Size

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Identification of Brain Tumor using Deep Learning Neural Networks

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YOLO Object Detector and Inception-V3 Convolutional Neural Network for Improved Brain Tumor Segmentation

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Head Circumference Growth Is Enhanced by SMOFlipid in Preterm Neonates

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Decoding and preserving Indonesia's iconic Keris via A CNN-based classification

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Integrating deep learning and machine learning for ceramic artifact classification and market value prediction

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Firefly Optimization Based Improved Fuzzy Clustering for CT/MR Image Segmentation

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Adversarial Data Augmentation via Deformation Statistics

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Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM

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Deep Learning Semantic Segmentation for High-Resolution Medical Volumes

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Application of Deep Learning in Biomedical Informatics and Healthcare

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Automated segmentation of brain tumor based on improved U-Net with residual units

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MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks

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An efficient combined approach for medical brain tumour segmentation

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Human Brain Tissue Segmentation in fMRI using Deep Long-Term Recurrent Convolutional Network

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Automatic Retinal Blood Vessel Segmentation Based on Multi-Level Convolutional Neural Network

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Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network

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GSCFN: A graph self-construction and fusion network for semi-supervised brain tissue segmentation in MRI

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A Systematic Approach for Deep Learning Based Brain Tumor Segmentation

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Iterative fully convolutional neural networks for automatic vertebra segmentation.Preprint

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Automated segmentation of multiple sclerosis lesions based on convolutional neural networks

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Role of Deep Learning in Classification of Brain MRI Images for Prediction of Disorders: A Survey of Emerging Trends

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An artificial intelligence algorithm for the classification of sphenoid sinus pneumatisation on sinus computed tomography scans

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Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks

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Facial expression recognition based on CNN

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AIU-Net: An Efficient Deep Convolutional Neural Network for Brain Tumor Segmentation

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Brain tissue segmentation via non-local fuzzy c-means clustering combined with Markov random field

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Entropy-based kernel graph cut for textural image region segmentation

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Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions

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A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy

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Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil

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Brain segmentation in patients with perinatal arterial ischemic stroke

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Convolutional Neural Networks for Rapid and Simultaneous Brain Extraction and Tissue Segmentation

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A Method for Weak Pulsar Signal Detection Combining the Bispectrum and a Deep Convolutional Neural Network

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Age-specific optimization of T1-weighted brain MRI throughout infancy

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Automated Pterygium Detection in Anterior Segment Photographed Images using Deep Convolutional Neural Network

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Segmentation and Approximation of Blood Volume in Intracranial Hemorrhage Patients Based on Computed Tomography Scan Images Using Deep Learning Method

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Improved particle swarm optimized deep convolutional neural network with super‐pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging

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Multi-Modal Segmentation of 3D Brain Scans Using Neural Networks

Zopes, J., Platscher, M., Paganucci, S., & Federau, C. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.653375 · Cited by 11

Optimization of deep learning based segmentation method

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Classification of Brain Tumor using PCA-RF in MR Neurological Images

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Asymmetric Similarity Loss Function to Balance Precision and Recall in Highly Unbalanced Deep Medical Image SegmentationPreprint

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Deep learning-based, fully automated, pediatric brain segmentation

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Improved Brain Segmentation Using Pixel Separation and Additional Segmentation Features

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The Neurobiology of Zika Virus: New Models, New Challenges

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A Modified U-Net Based Framework for Automated Segmentation of Hippocampus Region in Brain MRI

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Robust 3D Convolutional Neural Network With Boundary Correction for Accurate Brain Tissue Segmentation

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Image Recognition and Analysis of Intrauterine Residues Based on Deep Learning and Semi-Supervised Learning

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Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans

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A Basic Concept of Image Classification for Covid-19 Patients Using Chest CT Scan and Convolutional Neural Network

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IAS‐NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross‐domain in neonatal brain MRI segmentation

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The Research of Chronic Gastritis Diagnosis with Electronic Noses

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