Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications | Paper Citation Record

Observation 281b559e-9fca-4e31-b580-1b93ab3537d8 · outbound

This paper cites Attention Is All You Need,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Attention Is All You Need,

Reference 1

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Observation 5bf19387-53e5-44d7-b5d9-e78af6acd7fe · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:07.440542Z

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:07.114921Z

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Observation c6f0a0c2-d160-454d-a377-77428d5961ae · outbound

This paper cites Improving Language Understanding by Generative Pre-Training,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Improving Language Understanding by Generative Pre-Training,

Reference 4

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This paper cites BEiT: BERT Pre-Training of Image Transformers,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications BEiT: BERT Pre-Training of Image Transformers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:05.874742Z

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This paper cites DNABERT: pre- trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications DNABERT: pre- trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,

Reference 6

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This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,

Reference 7

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Observation 6626a5d6-c595-4e04-8f98-978e604098a5 · outbound

This paper cites FinBERT: A Pretrained Language Model for Financial Communications.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications FinBERT: A Pretrained Language Model for Financial Communications

Reference 8

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This paper cites Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer

Reference 9

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This paper cites A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:04.525094Z

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Observation d64692e5-2697-4d97-ae7a-fc11497b5ec8 · outbound

This paper cites Structural Health and Condition Monitoring with Acoustic Emission and Guided Ultrasonic Waves: What about Long-Term Durability of Sensors, Sensor Coupling and Measurement Chain?.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Structural Health and Condition Monitoring with Acoustic Emission and Guided Ultrasonic Waves: What about Long-Term Durability of Sensors, Sensor Coupling and Measurement Chain?

Reference 11

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This paper cites Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring,

Reference 12

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Observation 69f1d360-1741-49f9-b7c6-a9fa6478db9c · outbound

This paper cites Review of Ultrasonic Ranging Methods and Their Current Challenges,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Review of Ultrasonic Ranging Methods and Their Current Challenges,

Reference 13

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This paper cites Analysis and Validation of Ultrasonic Probes in Liquid Level Monitoring Systems,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Analysis and Validation of Ultrasonic Probes in Liquid Level Monitoring Systems,

Reference 14

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Observation a0228e7f-2f37-4f0e-9df2-c3a831193955 · outbound

This paper cites Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:02.277343Z

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Observation f1b88f0c-71b5-4b9c-9865-4c4e28cf0afb · outbound

This paper cites A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:01.864811Z

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Observation c9a7543a-d33e-4a1b-950e-0badcbce52ca · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders Are Scalable Vision Learners

Reference 17

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Observation 3b0d482b-211b-494c-afd9-24a99c6140fa · outbound

This paper cites SimMIM: a Simple Framework for Masked Image Modeling,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications SimMIM: a Simple Framework for Masked Image Modeling,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:57.726253Z

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Observation abe37a74-5ccb-4dbb-bef7-c83edcb04062 · outbound

This paper cites Generative Pretraining from Pixels,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Generative Pretraining from Pixels,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:01.305904Z

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Observation 340e890e-97ae-4014-9149-841490877549 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Emerging Properties in Self-Supervised Vision Transformers,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:57.409472Z

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Observation 9b97ebe1-ad58-49b2-964b-6e2ba24305a1 · outbound

This paper cites Masked Autoencoders in Computer Vision: A Comprehensive Survey,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders in Computer Vision: A Comprehensive Survey,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:01.045044Z

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This paper cites Pose Mask: A Model-Based Augmentation Method for 2D Pose Estimation in Classroom Scenes Using Surveillance Images,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Pose Mask: A Model-Based Augmentation Method for 2D Pose Estimation in Classroom Scenes Using Surveillance Images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:00.764746Z

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This paper cites An Advanced Chicken Face Detection Network Based on GAN and MAE,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications An Advanced Chicken Face Detection Network Based on GAN and MAE,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:00.444749Z

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Observation 284add3f-3092-4b88-94e0-6074b873fb8f · outbound

This paper cites Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:00.082013Z

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Observation 2434e436-dda7-448b-ba56-959ac0286a74 · outbound

This paper cites Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification,

Reference 25

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This paper cites Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors,

Reference 26

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Observation 2243b8cf-1592-4649-b84d-f214340a00b9 · outbound

This paper cites Self-supervised learning for medical image classification: a systematic review and implementation guidelines,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self-supervised learning for medical image classification: a systematic review and implementation guidelines,

Reference 27

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Observation 9024611f-2bd5-43ca-8473-a4cc3b79d986 · outbound

This paper cites Efficient Medical Image Assessment via Self-supervised Learning,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Efficient Medical Image Assessment via Self-supervised Learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:59.111803Z

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Observation 31fa2c7a-8634-4281-af48-96c6ef352748 · outbound

This paper cites Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification,

Reference 29

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Observation 18e03b82-a9b1-4b78-bd43-1d147922e1f9 · outbound

This paper cites Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder,

Reference 30

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Observation cb9baa12-0565-4f7f-b26b-cef5ba3486d5 · outbound

This paper cites Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation,

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:56.075725Z

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Observation ebb3de71-1d2f-4f37-925d-9e2a7928a24f · outbound

This paper cites How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?

Reference 32

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Observation d7ad8350-06d0-4dc9-a36a-a7d0ab0bf06a · outbound

This paper cites Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer,

Reference 33

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Observation 633ccdd0-308d-4bcf-aabd-0d7045b478a3 · outbound

This paper cites SatViT: Pretraining Transformers for Earth Observation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications SatViT: Pretraining Transformers for Earth Observation,

Reference 34

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Observation 1c7c846e-c38c-4ad1-97f5-67d69586126f · outbound

This paper cites Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding,

Reference 35

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Observation 9c5d259a-0dfd-452e-a8ec-050ee9406274 · outbound

This paper cites Anomaly and activity recognition in a video surveillance using Masked Autoencoder,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Anomaly and activity recognition in a video surveillance using Masked Autoencoder,

Reference 36

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:54.544749Z

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Observation 555eb2e0-c2e3-46f4-ba67-962b09f048c9 · outbound

This paper cites Masked Autoencoders As Spatiotemporal Learners,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders As Spatiotemporal Learners,

Reference 37

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Observation cfc58714-d45a-44d5-922f-d31aabb70bf8 · outbound

This paper cites MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting,

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:53.484875Z

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Observation a9b06404-e90c-4ffd-9c34-22730446c8a8 · outbound

This paper cites Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Reference 39

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This paper cites GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning,

Reference 40

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:52.855319Z

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Observation 4173b48a-cd69-4dbe-8a3b-7a4d3f2f6c0a · outbound

This paper cites MAEEG: Masked Auto-encoder for EEG Representation Learning.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications MAEEG: Masked Auto-encoder for EEG Representation Learning

Reference 41

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This paper cites Wavefield MAE: Leveraging Large Vision Models for Ultrasonic Wavefield Pattern Analysis,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Wavefield MAE: Leveraging Large Vision Models for Ultrasonic Wavefield Pattern Analysis,

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:52.090121Z

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Observation 396a520b-0f56-45f9-b9ba-960b90f7a2cb · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Learning Multiple Layers of Features from Tiny Images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:58.259880Z

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Observation 83bca2eb-47cd-43d4-8162-f4648ec72e38 · outbound

This paper cites FlexiViT: One Model for All Patch Sizes,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications FlexiViT: One Model for All Patch Sizes,

Reference 44

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:02:51.619124Z

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Observation 9696b4e2-820d-47dc-9178-92f96d4b8a47 · outbound

This paper cites Exploring Long-Sequence Masked Autoencoders.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Exploring Long-Sequence Masked Autoencoders

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:02:51.220785Z

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Observation 4e102723-054b-410a-9195-61a11e909127 · outbound

This paper cites Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:58.027724Z

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Observation b3e6800f-9205-4889-b9cd-9dfc044d531b · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications ImageNet: A large-scale hierarchical image database,

Reference 47

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Observation 2b33b1a5-d016-465f-8ba9-a98fd6819d4d · outbound

This paper cites Available: https://cdn.openai.com/research-covers/ language-unsupervised/language_understanding_paper.pdf.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://cdn.openai.com/research-covers/ language-unsupervised/language_understanding_paper.pdf

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:06.261945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07389bb9-9d39-4785-aea4-dcbbcd0ffae4 · outbound

This paper cites Available: https://pubs.aip.org/adv/article/10/10/105221/ 1071166/A-comprehensive-review-on-accuracy-in-ultrasonic.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://pubs.aip.org/adv/article/10/10/105221/ 1071166/A-comprehensive-review-on-accuracy-in-ultrasonic

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:01.620844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1ab8499-3127-4e17-b454-e85289dec600 · outbound

This paper cites Available: https://www.mdpi.com/2072-666X/13/4/520.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://www.mdpi.com/2072-666X/13/4/520

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:03.129100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be118dd8-7dc5-471e-b995-17d4a9389275 · outbound

This paper cites Available: https://aclanthology.org/N19-1423/.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://aclanthology.org/N19-1423/

Reference 4186

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:06.747752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bffa08f2-d5f4-4f6a-aaa0-972f962c0bd5 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2017/file/ 3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://proceedings.neurips.cc/paper/2017/file/ 3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

Reference 6008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:03:07.803035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers