mlsanityData to 14 Oct 2026

Deep learning in ultrasound imaging

arXiv 1907.02994 ↗First posted 5 Jul 2019eess.SP cs.LG eess.IVcited by 40

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Abstract (arXiv)

We consider deep learning strategies in ultrasound systems, from the front-end to advanced applications. Our goal is to provide the reader with a broad understanding of the possible impact of deep learning methodologies on many aspects of ultrasound imaging. In particular, we discuss methods that lie at the interface of signal acquisition and machine learning, exploiting both data structure (e.g. sparsity in some domain) and data dimensionality (big data) already at the raw radio-frequency channel stage. As some examples, we outline efficient and effective deep learning solutions for adaptive beamforming and adaptive spectral Doppler through artificial agents, learn compressive encodings for color Doppler, and provide a framework for structured signal recovery by learning fast approximations of iterative minimization problems, with applications to clutter suppression and super-resolution ultrasound. These emerging technologies may have considerable impact on ultrasound imaging, showing promise across key components in the receive processing chain.

Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Jul 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 11; 2022: 7; 2023: 10; 2024: 6; 2025: 4; 2026: 2.

40 papers.

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  1. 2022A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysiscited by 29
  2. 2023Dehazing Ultrasound using Diffusion Modelscited by 17
  3. 2021Rethinking Ultrasound Augmentation: A Physics-Inspired Approachcited by 15
  4. 2023Deep Ultrasound Denoising Using Diffusion Probabilistic Modelscited by 12
  5. 2023Ultrasound Image Reconstruction with Denoising Diffusion Restoration Modelscited by 12
  6. 2021Deep Unrolled Recovery in Sparse Biological Imagingcited by 10
  7. 2021Learned super resolution ultrasound for improved breast lesion characterizationcited by 7
  8. 2021Deep Algorithm Unrolling for Biomedical Imagingcited by 6
  9. 2024Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Modelscited by 6
  10. 2021A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Imagescited by 5
  11. 2023AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformerscited by 5
  12. 2021Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Imagecited by 4
28 more
  1. 2021Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priorscited by 4
  2. 2022Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learningcited by 4
  3. 2022Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustnesscited by 3
  4. 2024Ultrasound Imaging based on the Variance of a Diffusion Restoration Modelcited by 3
  5. 2021Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensingcited by 2
  6. 2022Ultrasound Signal Processing: From Models to Deep Learningcited by 2
  7. 2022Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memorycited by 2
  8. 2023Deep Unrolling for Nonconvex Robust Principal Component Analysiscited by 2
  9. 2023BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRIcited by 2
  10. 2023Diffusion Reconstruction of Ultrasound Images with Informative Uncertaintycited by 2
  11. 2025High Volume Rate 3D Ultrasound Reconstruction with Diffusion Modelscited by 2
  12. 2021Single Plane-Wave Imaging using Physics-Based Deep Learningcited by 1
  13. 2021Deep Learning for Ultrasound Beamformingcited by 1
  14. 2022Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representationcited by 1
  15. 2022Image translation of Ultrasound to Pseudo Anatomical Display by CycleGANcited by 1
  16. 2023Multi-source adversarial transfer learning for ultrasound image segmentation with limited similaritycited by 1
  17. 2023Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentationcited by 1
  18. 2024Optimization of array encoding for ultrasound imagingcited by 1
  19. 2024Deep Spectral Methods for Unsupervised Ultrasound Image Interpretationcited by 1
  20. 2024Ultrasound Image Enhancement with the Variance of Diffusion Modelscited by 1
  21. 2025Lightweight Physics-Aware Zero-Shot Ultrasound Plane-Wave Denoisingcited by 1
  22. 2025mSQUID: Model-Based Leanred Modulo Recovery at Low Sampling Ratescited by 1
  23. 2021Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipelinecited by 0
  24. 2023Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Imagescited by 0
  25. 2024Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imagingcited by 0
  26. 2025REASON: Probability map-guided dual-branch fusion framework for gastric content assessmentcited by 0
  27. 2026DSU-Net: An Attention-Enhanced Dense Skip U-Net for Breast Lesion Segmentation in Mammographic Imagescited by 0
  28. 2026C2LUE: Clinically Aligned Patient-Level Ultrasound Diagnosis via Evidence-Aware Multi-Instance Learningcited by 0