| An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers | May 11, 2022 | image-classificationImage Classification | CodeCode Available | 0 |
| Cross-organ all-in-one parallel compressed sensing magnetic resonance imaging | May 7, 2025 | Allcompressed sensing | CodeCode Available | 0 |
| Generalized Image Reconstruction over T-Algebra | Jan 17, 2021 | Data CompressionDimensionality Reduction | CodeCode Available | 0 |
| Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction | Aug 6, 2023 | Image ReconstructionImage Restoration | CodeCode Available | 0 |
| Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction | Dec 11, 2019 | Image ReconstructionSensitivity | CodeCode Available | 0 |
| Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction | Dec 18, 2019 | Image EnhancementImage Reconstruction | CodeCode Available | 0 |
| Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search | Aug 27, 2023 | Efficient Neural NetworkFairness | CodeCode Available | 0 |
| Cross-domain heterogeneous residual network for single image super-resolution | May 26, 2022 | Image ReconstructionImage Super-Resolution | CodeCode Available | 0 |
| Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction | Dec 5, 2017 | Image ReconstructionTemporal Sequences | CodeCode Available | 0 |
| Recurrent Spike-based Image Restoration under General Illumination | Aug 6, 2023 | DenoisingImage Reconstruction | CodeCode Available | 0 |
| FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation | Oct 21, 2024 | Image ReconstructionImage Segmentation | CodeCode Available | 0 |
| Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction | Nov 21, 2017 | Compressive SensingImage Reconstruction | CodeCode Available | 0 |
| Unsupervised Adversarial Image Reconstruction | May 1, 2019 | Image Reconstruction | CodeCode Available | 0 |
| D-VDAMP: Denoising-based Approximate Message Passing for Compressive MRI | Oct 25, 2020 | DenoisingImage Reconstruction | CodeCode Available | 0 |
| Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder | Mar 22, 2022 | Anomaly DetectionImage Reconstruction | CodeCode Available | 0 |
| Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator | Dec 4, 2023 | Image ReconstructionMedical Diagnosis | CodeCode Available | 0 |
| Refining 3D Human Texture Estimation from a Single Image | Mar 6, 2023 | Image Reconstruction | CodeCode Available | 0 |
| A Cone-Beam X-Ray CT Data Collection designed for Machine Learning | May 12, 2019 | BIG-bench Machine LearningComputed Tomography (CT) | CodeCode Available | 0 |
| Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction | May 17, 2021 | Image ReconstructionMRI Reconstruction | CodeCode Available | 0 |
| From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI | Jul 3, 2019 | DecoderImage Reconstruction | CodeCode Available | 0 |
| Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection | May 26, 2020 | AnatomyAnomaly Detection | CodeCode Available | 0 |
| An Efficient Inference Frame for SMLM (Single-Molecule Localization Microscopy) | Oct 3, 2024 | Deep LearningGPU | CodeCode Available | 0 |
| Fourier Transform Approximation as an Auxiliary Task for Image Classification | Jun 22, 2021 | Classificationimage-classification | CodeCode Available | 0 |
| Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences | Aug 28, 2023 | Image ReconstructionQ-Learning | CodeCode Available | 0 |
| A Bayesian Perspective on the Deep Image Prior | Apr 16, 2019 | Bayesian InferenceDenoising | CodeCode Available | 0 |
