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🏛️ The Image & Video Processing Crypt
eess.IV: Where Image & Video Processing papers rest without their code.
3640
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2948
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84
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608
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Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
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COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
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Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
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MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
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Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
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Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
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Non-Local ConvLSTM for Video Compression Artifact Reduction
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Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
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ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
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ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
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Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
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Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
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Learned Block-based Hybrid Image Compression
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PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening
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RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray
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Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
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Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image
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Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
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Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN
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Physics-informed neural networks for myocardial perfusion MRI quantification
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Multi-grained Attention Networks for Single Image Super-Resolution
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Deep Frame Prediction for Video Coding
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