A Survey on Deep Learning Approaches to Medical Images and a Systematic Look up into Real-Time Object Detection

Deep Residual Learning for Image Recognition

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You Only Look Once: Unified, Real-Time Object Detection

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Feature Pyramid Networks for Object Detection

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Deep Contextualized Word Representations

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Vision meets robotics: The KITTI dataset

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Radiomics: Images Are More than Pictures, They Are Data

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Large-Scale Video Classification with Convolutional Neural Networks

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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WaveNet: a generative model for raw audio

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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

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Greedy layer-wise training of deep networks

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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

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A learning algorithm for Boltzmann machines

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Brain tumor segmentation with Deep Neural Networks

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LVIS: A Dataset for Large Vocabulary Instance Segmentation

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Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

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Interactive medical image segmentation using deep learning with image-specific fine tuning

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Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

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A CNN Regression Approach for Real-Time 2D/3D Registration

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Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

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The Microsoft 2017 Conversational Speech Recognition System

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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation

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Seizure prediction – ready for a new era

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Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

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Entity Embeddings of Categorical Variables

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Neural network with unbounded activation functions is universal approximator

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Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines

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Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation

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The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

Ali, M. L., & Zhang, Z. (2024) · Computers · doi:10.3390/computers13120336 · Cited by 383 · see citing works