EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance | Paper Citation Record

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This paper cites Oasis: A universe in a transformer.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Oasis: A universe in a transformer

Reference 1

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Observation 227c8269-4173-44e4-afde-b8806e3d45d3 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Diffusion for World Modeling: Visual Details Matter in Atari

Reference 2

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This paper cites Goal-conditioned reinforcement learning for ultrasound nav- igation guidance.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Goal-conditioned reinforcement learning for ultrasound nav- igation guidance

Reference 3

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This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Self-supervised learning from images with a joint-embedding predictive architecture

Reference 4

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This paper cites Data2vec: A general frame- work for self-supervised learning in speech, vision and lan- guage.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Data2vec: A general frame- work for self-supervised learning in speech, vision and lan- guage

Reference 5

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This paper cites Efficient self-supervised learning with contextualized target representations for vision, speech and language.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Efficient self-supervised learning with contextualized target representations for vision, speech and language

Reference 6

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This paper cites V-jepa: Latent video prediction for visual represen- tation learning.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance V-jepa: Latent video prediction for visual represen- tation learning

Reference 7

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This paper cites High Fidelity Visualization of What Your Self-Supervised Representation Knows About.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance High Fidelity Visualization of What Your Self-Supervised Representation Knows About

Reference 8

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Observation 7d2b68b6-2936-4273-b1c2-370770f94eba · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 9

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Observation db95c1bc-52a1-4432-a254-442940be8eb5 · outbound

This paper cites Applied optimal control: optimization, estimation and control.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Applied optimal control: optimization, estimation and control

Reference 10

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Observation 8c8d58f7-527e-4268-90b6-2fb897bbaab9 · outbound

This paper cites Constrained model predictive control.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Constrained model predictive control

Reference 11

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Observation 2d5449c1-7fb5-489b-a6b1-25f54b5308b2 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Emerg- ing properties in self-supervised vision transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:20:00.102848Z

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Observation b7c84174-1c9f-4d2f-99ac-1492a2bbe50d · outbound

This paper cites Decision transformer: Reinforce- ment learning via sequence modeling.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Decision transformer: Reinforce- ment learning via sequence modeling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:20:00.086347Z

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Observation e3f5a959-b913-4c3a-9fd6-d630325e5bf0 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance A simple framework for contrastive learning of visual representations

Reference 14

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Observation b5aa8005-f4df-4991-be1f-e922cfd61510 · outbound

This paper cites An empirical study of training self-supervised vision transformers.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance An empirical study of training self-supervised vision transformers

Reference 15

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Observation 71c3e72c-cd8f-4135-8410-79fb16435f67 · outbound

This paper cites Vision–language foundation model for echocardiogram interpretation.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Vision–language foundation model for echocardiogram interpretation

Reference 16

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Observation 35bdfcf2-dced-43ba-a6f8-5a6ac2006f71 · outbound

This paper cites The nature of explanation.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance The nature of explanation

Reference 17

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Observation 8ff95405-aae6-4c7d-ba2a-aa624b37e333 · outbound

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

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Imagenet: A large-scale hierarchical image database

Reference 18

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Observation 380e8835-4dc4-473b-89fe-88f56fc569ba · outbound

This paper cites Memsam: Taming segment anything model for echocardiog- raphy video segmentation.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Memsam: Taming segment anything model for echocardiog- raphy video segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:20:00.007130Z

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Observation e7b01aee-750e-4527-8e35-b318ee868fff · outbound

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

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

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Observation 56c3a58a-2b2f-4457-b5bf-914c8f5a6e44 · outbound

This paper cites Automatic probe movement guidance for freehand obstetric ultrasound.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Automatic probe movement guidance for freehand obstetric ultrasound

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.992509Z

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Observation 387c9c41-33e3-42b3-b8d3-0c090fa99892 · outbound

This paper cites A Learned Representation For Artistic Style.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance A Learned Representation For Artistic Style

Reference 22

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This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 23

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Observation 84bcd6b0-6df3-4213-be49-2b0b4c210466 · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Learning and Leveraging World Models in Visual Representation Learning

Reference 24

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Observation 6275a0da-6ed9-4ec7-8d2a-f56cca5ff237 · outbound

This paper cites Recurrent world models facilitate policy evolution.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Recurrent world models facilitate policy evolution

Reference 25

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Observation c5e00e0d-79ff-4236-8b49-95991b0d5c71 · outbound

This paper cites World Models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance World Models

Reference 26

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Observation dc4755be-f00f-4af9-a4be-80e7a2589416 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Dream to Control: Learning Behaviors by Latent Imagination

Reference 27

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Observation c221868b-b4c6-4b3c-953b-c5badeece020 · outbound

This paper cites Mastering Atari with Discrete World Models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Mastering Atari with Discrete World Models

Reference 28

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Observation 556bc8aa-a97b-44fa-aa64-33c605ff7dd0 · outbound

This paper cites Mastering Diverse Domains through World Models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Mastering Diverse Domains through World Models

Reference 29

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Observation f46aa96a-662a-441d-856b-dafb095931cc · outbound

This paper cites Masked autoencoders are scalable vision learners.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Masked autoencoders are scalable vision learners

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.969551Z

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Observation 557edc0d-2846-4349-9860-94ff075b3956 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance GAIA-1: A Generative World Model for Autonomous Driving

Reference 31

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Observation 34158c3f-607e-44c7-8df1-8d5fb670d58f · outbound

This paper cites Cardiac copilot: Automatic probe guidance for echocardiography with world model.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Cardiac copilot: Automatic probe guidance for echocardiography with world model

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.956149Z

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Observation 6a9c4b7d-83fb-47af-b755-7159b0f9a6fa · outbound

This paper cites Sequence-aware pre-training for echocardiography probe guidance.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Sequence-aware pre-training for echocardiography probe guidance

Reference 33

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Observation 3fb28319-066d-4e88-9dea-f05e985d6673 · outbound

This paper cites Usfm: A universal ultrasound founda- tion model generalized to tasks and organs towards label effi- cient image analysis.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Usfm: A universal ultrasound founda- tion model generalized to tasks and organs towards label effi- cient image analysis

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.942099Z

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Observation 7333c574-698c-42e0-b87a-d3c070a2e25c · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance How Far is Video Generation from World Model: A Physical Law Perspective

Reference 35

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Observation 1b670621-722f-49c4-84da-57f1af5803ec · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance OpenVLA: An Open-Source Vision-Language-Action Model

Reference 36

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Observation d8c3c865-788e-46a8-a8f1-f32acd7d458f · outbound

This paper cites A path towards autonomous machine intelli- gence version 0.9.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance A path towards autonomous machine intelli- gence version 0.9

Reference 37

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Observation cdc7b791-4858-44f4-825e-55b6b0657e99 · outbound

This paper cites Rl-tee: Autonomous probe guidance for trans- esophageal echocardiography based on attention-augmented deep reinforcement learning.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Rl-tee: Autonomous probe guidance for trans- esophageal echocardiography based on attention-augmented deep reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.913616Z

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Observation a2019230-f4c6-464d-a05e-2dc940abe91e · outbound

This paper cites Be- yond adapting sam: Towards end-to-end ultrasound image segmentation via auto prompting.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Be- yond adapting sam: Towards end-to-end ultrasound image segmentation via auto prompting

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.899718Z

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Observation 773cee44-6f41-4306-a246-221685075636 · outbound

This paper cites Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.886075Z

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Observation 93073012-d1da-45c4-9ae1-97c27db4417d · outbound

This paper cites Lvm-med: Learning large- scale self-supervised vision models for medical imaging via second-order graph matching.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Lvm-med: Learning large- scale self-supervised vision models for medical imaging via second-order graph matching

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.871840Z

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Observation 46e118eb-0ec7-4e6b-989d-f12a7c0523d5 · outbound

This paper cites Guidelines for performing a comprehensive transthoracic echocardiographic examination in adults: rec- ommendations from the american society of echocardiogra- phy.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Guidelines for performing a comprehensive transthoracic echocardiographic examination in adults: rec- ommendations from the american society of echocardiogra- phy

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.857756Z

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Observation 26537ae2-fcda-48ce-b59b-401d9b7341fb · outbound

This paper cites Util- ity of a deep-learning algorithm to guide novices to acquire echocardiograms for limited diagnostic use.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Util- ity of a deep-learning algorithm to guide novices to acquire echocardiograms for limited diagnostic use

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.844514Z

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Observation ac55714f-7e10-4b28-b383-ccd8ff7ee92d · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 44

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Observation 1b3534ee-35a9-4580-a1ab-f4ec8f615fac · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Representation Learning with Contrastive Predictive Coding

Reference 45

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Observation 54e37182-3251-48cf-95f1-4ca437cbb5e0 · outbound

This paper cites Video generation models as world simula- tors.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Video generation models as world simula- tors

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.829758Z

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Observation 42033c03-770f-4151-82b3-279a2f1b6102 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance DINOv2: Learning Robust Visual Features without Supervision

Reference 47

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Observation 97d97792-844f-4cf0-8276-852c647bba8c · outbound

This paper cites Video-based ai for beat-to-beat assessment of cardiac func- tion.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Video-based ai for beat-to-beat assessment of cardiac func- tion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.814885Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af38cc26-8050-427f-99a4-dcccac17343f · outbound

This paper cites Global, regional, and national burden of cardiovascular dis- eases for 10 causes, 1990 to 2015.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Global, regional, and national burden of cardiovascular dis- eases for 10 causes, 1990 to 2015

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.800921Z

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Observation ab4215b6-aa70-4c7e-97c4-b4f3979bbc79 · outbound

This paper cites Introducing general world models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Introducing general world models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.786999Z

Source-reported events for the cited work

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Observation fc12f62c-baf0-41da-a080-c02545ae9195 · outbound

This paper cites Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.772920Z

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Observation 3b1cf592-f1b0-410b-8f02-db712c3eb68d · outbound

This paper cites Self- attention with relative position representations.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Self- attention with relative position representations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.758119Z

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Observation b34c1317-a38f-470f-af6a-db09b094126f · outbound

This paper cites Automated image acquisition of parasternal long- axis view with robotic echocardiography.IEEE Robotics and Automation Letters, 2023.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Automated image acquisition of parasternal long- axis view with robotic echocardiography.IEEE Robotics and Automation Letters, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.743318Z

Source-reported events for the cited work

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This paper cites Diagnos- tic posture control system for seated-style echocardiography robot.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Diagnos- tic posture control system for seated-style echocardiography robot

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.727751Z

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This paper cites Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta- analysis, and modelling study.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta- analysis, and modelling study

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.712710Z

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This paper cites Moco pretraining improves representation and transferability of chest x-ray models.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Moco pretraining improves representation and transferability of chest x-ray models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.696766Z

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Observation bdce2117-971c-4814-8c36-b1c78cc293f6 · outbound

This paper cites Echo from noise: synthetic ultra- sound image generation using diffusion models for real im- age segmentation.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Echo from noise: synthetic ultra- sound image generation using diffusion models for real im- age segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.681292Z

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Observation 8f289ba5-50cf-4eda-a475-3e2cb79f7ca0 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Roformer: Enhanced transformer with rotary position embedding

Reference 58

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Observation 6326a3e7-7350-4cf6-b1a9-92a123fc98a3 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Training data-efficient image transformers & distillation through at- tention

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.657560Z

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Observation 39f0631b-ab21-4faa-837a-4efafc21e39e · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Diffusion Models Are Real-Time Game Engines

Reference 60

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This paper cites Attention is all you need.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Attention is all you need

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.642013Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 875cc094-dbfb-4fe5-9c33-5a701e070cea · outbound

This paper cites Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre- training.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre- training

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.626526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f3800f9-ff61-4271-9e59-b4f41765d858 · outbound

This paper cites Efficienttrain: Exploring gener- alized curriculum learning for training visual backbones.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Efficienttrain: Exploring gener- alized curriculum learning for training visual backbones

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.612261Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9115da92-6f83-4e50-8eae-910e055a0818 · outbound

This paper cites Fine-grained context and multi-modal alignment for freehand 3d ultrasound re- construction.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Fine-grained context and multi-modal alignment for freehand 3d ultrasound re- construction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.598372Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ccde877-665a-4a29-bf22-815cc9c00c3c · outbound

This paper cites Generalized predictive model for autonomous driving.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Generalized predictive model for autonomous driving

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:59.583988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10826e72-161a-43f6-9231-0c0176c341a4 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:59.188023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3c106a-79ce-4fd4-845f-86660d008d94 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:59.192474Z

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Observation 241ad101-843d-4b4e-8ed1-c9ec7eab3b0d · outbound

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EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:19:59.568919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Outbound references

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