Paper Citation Record · LEDGER

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.23721.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.23721 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 3c4befb1-9f61-4633-b8a4-a953c417c9ba · outbound

This paper cites Impact of point-of-care ultra- sound on quality of care in clinical practice,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Impact of point-of-care ultra- sound on quality of care in clinical practice,

Reference 1

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Observation 9bc4459f-713b-4781-8b34-fe46c034d0a3 · outbound

This paper cites Cognitive load predicts point-of- care ultrasound simulator performance,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Cognitive load predicts point-of- care ultrasound simulator performance,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:38.003138Z

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Observation 8ba8119a-6d15-4a02-abab-98d64be2fe19 · outbound

This paper cites Learning curves in emergency ultrasound education,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Learning curves in emergency ultrasound education,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.896887Z

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Observation 958cde09-9293-4c11-bdbc-777135d949ec · outbound

This paper cites Head-mounted displays in ultrasound scanning,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Head-mounted displays in ultrasound scanning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.764931Z

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Observation 64194f21-92bc-4abb-9e8f-6e7caddb69d5 · outbound

This paper cites Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.638412Z

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Observation f8291627-fe69-4774-82b8-3ab7c56e1cee · outbound

This paper cites Kidney ultrasound for nephrol- ogists: a review,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Kidney ultrasound for nephrol- ogists: a review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.546194Z

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Observation 86f4bf0f-ce72-4745-8641-0d02bf7b27df · outbound

This paper cites Interobserver and intraobserver variations in sonographic renal length measurements in children.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Interobserver and intraobserver variations in sonographic renal length measurements in children

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.396453Z

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Observation 9de02473-775d-48ba-9a47-d8280c4b9ad1 · outbound

This paper cites Measuring the kidneys using sonography,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Measuring the kidneys using sonography,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.261208Z

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Observation 3aaa2c67-3723-48f0-a2f2-8ecd17f5f9c8 · outbound

This paper cites Intraobserver and interobserver variations in sonographic measurements of kidney size in adult volunteers: a comparison of linear measurements and volumetric estimates,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Intraobserver and interobserver variations in sonographic measurements of kidney size in adult volunteers: a comparison of linear measurements and volumetric estimates,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:37.107043Z

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Observation 25d1a64d-30a7-44df-9d8c-8e2c78222675 · outbound

This paper cites How reliable are ultrasound measurements of renal length in adults?.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound How reliable are ultrasound measurements of renal length in adults?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.991139Z

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Observation 7bba471b-23ad-4c35-b669-f212c99e08a1 · outbound

This paper cites Deep learning in medical image analysis,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Deep learning in medical image analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.838260Z

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Observation 9804ed52-98be-43ce-af25-d9de37224ebf · outbound

This paper cites Medical deep learning—a systematic meta-review,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Medical deep learning—a systematic meta-review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.714617Z

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Observation 3742d5e1-83c1-4afa-9d22-3261e8ffc2d2 · outbound

This paper cites The hololens in medicine: A systematic review and taxonomy,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound The hololens in medicine: A systematic review and taxonomy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.618833Z

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Observation db51c942-ce08-4e3a-86be-4be59f485a86 · outbound

This paper cites Microsoft hololens 2 in medical and healthcare context: state of the art and future prospects,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Microsoft hololens 2 in medical and healthcare context: state of the art and future prospects,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.501164Z

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Observation 2f6e9cb3-e888-4377-b24d-d7cdfd40012b · outbound

This paper cites Artificial intelligence-aided ultrasound in renal dis- eases: a systematic review,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Artificial intelligence-aided ultrasound in renal dis- eases: a systematic review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.364839Z

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Observation fb24cb30-31dc-4f9e-985c-5a118356f8eb · outbound

This paper cites Deep learning in kid- ney ultrasound: overview, frontiers, and challenges,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Deep learning in kid- ney ultrasound: overview, frontiers, and challenges,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:36.220844Z

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Observation 420699d9-6fa1-4c3c-89b8-696b048d7d78 · outbound

This paper cites A narrative review on the application of artificial intelligence in renal ultra- sound,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound A narrative review on the application of artificial intelligence in renal ultra- sound,

Reference 17

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Observation b1afa3c0-549c-4807-acb7-d337fb4850ff · outbound

This paper cites Analysis of kidney ultrasound images using deep learn- ing and machine learning techniques: A review,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Analysis of kidney ultrasound images using deep learn- ing and machine learning techniques: A review,

Reference 18

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Observation 9eeee113-8799-4c2d-a849-626fb56028a5 · outbound

This paper cites Application of visual transformer in renal image analysis,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Application of visual transformer in renal image analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:35.768824Z

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Observation e5bf9013-087e-4acf-94e0-2027052025bd · outbound

This paper cites The growing role for semantic segmentation in urology,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound The growing role for semantic segmentation in urology,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:35.643725Z

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Observation cd3b649c-f1b2-490f-9cf4-b219b8524e58 · outbound

This paper cites The use of virtual reality and augmented reality in ultra- sound education, a narrative review of the literature,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound The use of virtual reality and augmented reality in ultra- sound education, a narrative review of the literature,

Reference 21

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This paper cites Augmented reality visualiza- tion for ultrasound-guided interventions: a pilot randomized crossover trial to assess trainee performance and cognitive load,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Augmented reality visualiza- tion for ultrasound-guided interventions: a pilot randomized crossover trial to assess trainee performance and cognitive load,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:35.324912Z

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Observation d1ac626b-b467-4ca7-b0cb-8cbd4464d97d · outbound

This paper cites The open kidney ultrasound data set,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound The open kidney ultrasound data set,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:35.130406Z

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Observation 5a8a9958-51e0-4ec0-a607-dc40a70f4d2f · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 24

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This paper cites Segmenter: Transformer for se- mantic segmentation,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Segmenter: Transformer for se- mantic segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:34.971138Z

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Observation feb804c9-4143-40f3-9a7e-648e14b05eec · outbound

This paper cites Ultralytics YOLO,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Ultralytics YOLO,

Reference 26

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Observation d83fa6fd-52db-4ae7-9c6c-73da5bb6f8a1 · outbound

This paper cites Segment anything in medical images,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Segment anything in medical images,

Reference 27

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Observation 15564020-1b37-4e92-9d9b-3b06b4026a6e · outbound

This paper cites Rep-medsam: Towards real-time and universal medical image segmentation,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Rep-medsam: Towards real-time and universal medical image segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:34.775902Z

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Observation 3c893b6e-b85e-4877-8a2e-eee47298e3b2 · outbound

This paper cites nnu-net revisited: A call for rigorous validation in 3d medical image segmen- tation,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound nnu-net revisited: A call for rigorous validation in 3d medical image segmen- tation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:34.470473Z

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Observation 4e60de2f-fa47-4c89-bb3b-54b65aeb5d80 · outbound

This paper cites A simple method to estimate renal volume from computed tomography,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound A simple method to estimate renal volume from computed tomography,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:34.217271Z

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Observation cc8918cd-6ca5-4999-a502-3a7e8c789e16 · outbound

This paper cites Measures of the amount of ecologic association between species,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Measures of the amount of ecologic association between species,

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-06T21:36:33.774068Z

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Observation d2d19f1a-f60a-4c58-9d6d-5a35c69b7cf4 · outbound

This paper cites Measuring intra-and inter-observer agreement in identifying and localizing 14 structures in medical images,.

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound Measuring intra-and inter-observer agreement in identifying and localizing 14 structures in medical images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:33.995083Z

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Pith citing papers

No inbound Pith citation observations are available.