UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation | Paper Citation Record

Observation 7be83830-0c7a-4357-9ba2-a942af52a9d0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 1

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Observation b51f43e2-d244-4092-a8a6-1da7df94c149 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021

Reference 2

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Observation dbd46e4a-dbf6-4795-98aa-0a0207fade7c · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:54.816080Z

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Observation ea80fa4e-9771-4983-835b-b1280661c8c8 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Unetr: Transformers for 3d medical image segmentation

Reference 4

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Observation 9252f68a-3f09-4ce2-a04d-9ea1e5577024 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.094182Z

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Observation 6dff32c4-015f-4dc5-8c46-00a96c64f6c9 · outbound

This paper cites Vm-unet: Vision mamba unet for medical image segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Vm-unet: Vision mamba unet for medical image segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.195144Z

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Observation fdd45d3a-fa95-403e-8df5-d9aada064818 · outbound

This paper cites Swin-umamba: Mamba-based unet with imagenet-based pretraining.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Swin-umamba: Mamba-based unet with imagenet-based pretraining

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.294583Z

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Observation 4ae82ab7-efa6-452d-baa4-951cbc7ad5a3 · outbound

This paper cites Log-vmamba: local-global vision mamba for medical image segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Log-vmamba: local-global vision mamba for medical image segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.406188Z

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Observation d6614b47-1444-4613-b885-1e0885ecd6c2 · outbound

This paper cites Segment anything.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Segment anything

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.555176Z

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Observation c2198afc-2780-493c-bfae-313b561f663d · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation SAM 2: Segment Anything in Images and Videos

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.677692Z

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Observation 52929b92-fae2-4015-8bd3-185bcc36ea96 · outbound

This paper cites Segment anything in medical images.Nature communications, 15(1):654, 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Segment anything in medical images.Nature communications, 15(1):654, 2024

Reference 11

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Observation 7e68bf7d-3db7-4c17-ba7c-f071f4f76479 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.880693Z

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Observation 9c2e5fcc-250d-4f91-87a8-eff2d88086f3 · outbound

This paper cites Ultrasam: a foundation model for ultrasound using large open-access segmentation datasets.International Journal of Computer Assisted Radiology and Surgery, pages 1–10, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Ultrasam: a foundation model for ultrasound using large open-access segmentation datasets.International Journal of Computer Assisted Radiology and Surgery, pages 1–10, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:55.971293Z

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Observation e84d59c8-f485-49a2-9a85-445c45651a97 · outbound

This paper cites Samusa: Segment anything model 2 for ultrasound annotation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Samusa: Segment anything model 2 for ultrasound annotation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.079711Z

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Observation d3ab7f2c-a1e6-459d-99c4-d5a361050aef · outbound

This paper cites SAM 3: Segment Anything with Concepts.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation SAM 3: Segment Anything with Concepts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.183672Z

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Observation 72e96467-f585-4da2-adf8-dfb837e6c3ce · outbound

This paper cites BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.290699Z

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Observation 69798145-612a-444f-b00b-e4c6b37570aa · outbound

This paper cites Large-vocabulary segmentation for medical images with text prompts.NPJ Digital Medicine, 8(1):566, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Large-vocabulary segmentation for medical images with text prompts.NPJ Digital Medicine, 8(1):566, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.394603Z

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Observation 8f29c071-dcbc-4790-a308-7420f139fa3b · outbound

This paper cites Unibiomed: A universal foundation model for grounded biomedical image interpretation.arXiv preprint arXiv:2504.21336, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Unibiomed: A universal foundation model for grounded biomedical image interpretation.arXiv preprint arXiv:2504.21336, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.484662Z

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Observation c0163abe-d1c6-4497-9b7c-343c47f3c0b6 · outbound

This paper cites Medsam3: Delving into segment anything with medical concepts.arXiv preprint arXiv:2511.19046, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Medsam3: Delving into segment anything with medical concepts.arXiv preprint arXiv:2511.19046, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.737336Z

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Observation 3ce064fe-de0f-47dd-b1eb-fde0fda2353e · outbound

This paper cites Medical sam3: A foundation model for universal prompt-driven medical image segmentation.arXiv preprint arXiv:2601.10880, 2026.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Medical sam3: A foundation model for universal prompt-driven medical image segmentation.arXiv preprint arXiv:2601.10880, 2026

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:56.964979Z

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Observation 683fac44-7e97-4434-8e97-e1f29ab159ed · outbound

This paper cites Kd-eye: Lightweight pupil segmentation for eye tracking on vr headsets via knowledge distillation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Kd-eye: Lightweight pupil segmentation for eye tracking on vr headsets via knowledge distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.114724Z

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Observation ce8b9a41-e243-4c08-af6c-2e301eec2596 · outbound

This paper cites Echogpt: An interactive cardiac function assessment model for echocardiogram videos.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Echogpt: An interactive cardiac function assessment model for echocardiogram videos

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.257958Z

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Observation 7c862846-a06e-4820-9e7b-ce930596dd76 · outbound

This paper cites Segment anything model 2: an application to 2d and 3d medical images.IEEE Transactions on Biomedical Engineering, 2026.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Segment anything model 2: an application to 2d and 3d medical images.IEEE Transactions on Biomedical Engineering, 2026

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.353129Z

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Observation 864cf11b-d6d2-4ce5-9680-75333fc58a10 · outbound

This paper cites AbdomenUS: US Simulation and Segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation AbdomenUS: US Simulation and Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.413131Z

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Observation a499fc60-b9ba-49af-a307-2c523fb301aa · outbound

This paper cites Bus-bra: A breast ultrasound dataset for assessing computer-aided diagnosis systems.Medical physics, 51(4):3110–3123, 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Bus-bra: A breast ultrasound dataset for assessing computer-aided diagnosis systems.Medical physics, 51(4):3110–3123, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.462802Z

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Observation 1481195b-5690-480b-b2c6-98fde628be68 · outbound

This paper cites Video-based ai for beat-to-beat assessment of cardiac function.Nature, 580(7802):252–256, 2020.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Video-based ai for beat-to-beat assessment of cardiac function.Nature, 580(7802):252–256, 2020

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.546820Z

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Observation 749586e1-ae2f-4e01-9609-3cc14d8cb31d · outbound

This paper cites Mi-segnet: Mutual information-based us segmentation for unseen domain generalization.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Mi-segnet: Mutual information-based us segmentation for unseen domain generalization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.627911Z

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Observation af75d571-448a-46b6-806d-52586ac77408 · outbound

This paper cites Pubic symphysis-fetal head segmentation and angle of progression, March 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Pubic symphysis-fetal head segmentation and angle of progression, March 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.745435Z

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Observation 797f18c7-d80d-46cf-9c13-a62ed1915560 · outbound

This paper cites Ultrasound Normal Kidney Image Dataset.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Ultrasound Normal Kidney Image Dataset

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:57.801869Z

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Observation f8195773-bc5b-483a-990b-3d826835581f · outbound

This paper cites Annotated ultrasound liver images, November 2022.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Annotated ultrasound liver images, November 2022

Reference 30

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Observation 0ac373ed-8201-4947-9e30-4a17a4f1bfc3 · outbound

This paper cites Lung ultrasound covid phantom dataset used for training machine learning model.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Lung ultrasound covid phantom dataset used for training machine learning model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.000208Z

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Observation 19fefe49-ab7e-4c0d-8d46-62ae05ea29e3 · outbound

This paper cites Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment.Computers in biology and medicine, 135:104623, 2021.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment.Computers in biology and medicine, 135:104623, 2021

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.057781Z

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Observation 8ba6ebf5-2be4-4c6a-877d-f14e9e18a50d · outbound

This paper cites Mallesnet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images.Medical Image Analysis, 80:102511, 2022.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Mallesnet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images.Medical Image Analysis, 80:102511, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.108481Z

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Observation 0a8e8821-1757-45f9-9b57-d6e0712bec0f · outbound

This paper cites MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.185272Z

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Observation 71d98a01-0f02-4678-8a0e-8b7a3e62d894 · outbound

This paper cites Micro-ultrasound prostate segmentation dataset.URL: https://doi.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Micro-ultrasound prostate segmentation dataset.URL: https://doi

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-03T11:49:58.271419Z

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Observation 6d234554-8b33-4c77-b246-548e107666e7 · outbound

This paper cites Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules.Computers in biology and medicine, 155:106389, 2023.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules.Computers in biology and medicine, 155:106389, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.351954Z

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Observation dbbcc199-e507-4e0c-b72f-4c572ee2aaa9 · outbound

This paper cites Luminous database: lumbar multifidus muscle segmentation from ultrasound images.BMC Musculoskeletal Disorders, 21(1):703, 2020.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Luminous database: lumbar multifidus muscle segmentation from ultrasound images.BMC Musculoskeletal Disorders, 21(1):703, 2020

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.455657Z

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Observation 1df065cf-3dc4-474b-8979-3859d555aeb2 · outbound

This paper cites FALLMUD: FAscicle Lower Leg Muscle Ultrasound Dataset.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation FALLMUD: FAscicle Lower Leg Muscle Ultrasound Dataset

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.519761Z

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Observation 88033a32-86c3-4888-8d84-bd429490a014 · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE transactions on medical imaging, 38(9):2198– 2210, 2019.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE transactions on medical imaging, 38(9):2198– 2210, 2019

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.593873Z

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Observation 58a18ada-14b7-40b4-b108-f6f41f6bd40a · outbound

This paper cites Unity Imaging Echocardiography Datasets.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Unity Imaging Echocardiography Datasets

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.688512Z

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Observation 5ae98526-484d-440b-a442-b5cefa4b44b0 · outbound

This paper cites Echocp: An echocardiography dataset in contrast transthoracic echocardiography for patent foramen ovale diagnosis.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Echocp: An echocardiography dataset in contrast transthoracic echocardiography for patent foramen ovale diagnosis

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.695333Z

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Observation 63ab4908-c2be-4f11-9891-f5813621376e · outbound

This paper cites an unresolved cited work.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Unresolved cited work

Reference 42

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Observation 78bd8e37-4df2-4c19-b96e-652c80442a42 · outbound

This paper cites Graphecho: Graph-driven unsuper- vised domain adaptation for echocardiogram video segmentation.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Graphecho: Graph-driven unsuper- vised domain adaptation for echocardiogram video segmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.926074Z

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Observation 41df533b-65e9-4134-9507-f07dbff6f4aa · outbound

This paper cites Mr to ultrasound registration for prostate challenge-dataset.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Mr to ultrasound registration for prostate challenge-dataset

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.068505Z

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Observation 7393f650-a258-45fd-a347-ffc439cb54f7 · outbound

This paper cites Thyroid Ultrasound Cine-clip, 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Thyroid Ultrasound Cine-clip, 2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.169220Z

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Observation 37b7316f-34b3-4171-93b1-3bd325d0b51f · outbound

This paper cites Multi-task learning for thyroid nodule segmentation with thyroid region prior.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Multi-task learning for thyroid nodule segmentation with thyroid region prior

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.312297Z

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Observation 302a239e-3e26-4996-b062-1b6e03c6ecff · outbound

This paper cites Tracked 3d ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry.Plos one, 17(7):e0268550, 2022.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Tracked 3d ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry.Plos one, 17(7):e0268550, 2022

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.433917Z

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Observation 4331ae5c-1e16-4cfd-8863-cb3eb8106d13 · outbound

This paper cites An open access thyroid ultrasound image database.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation An open access thyroid ultrasound image database

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.524283Z

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Observation d51870b8-e9a0-4dd7-bd85-6148115c89eb · outbound

This paper cites Fast and accurate u-net model for fetal ultrasound image segmentation.Ultrasonic imaging, 44(1):25–38, 2022.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Fast and accurate u-net model for fetal ultrasound image segmentation.Ultrasonic imaging, 44(1):25–38, 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.625569Z

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Observation 197e9dbc-ee67-4faf-af15-085c76b30195 · outbound

This paper cites Acouslic-ai challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries.Medical image analysis, 105:103640, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Acouslic-ai challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries.Medical image analysis, 105:103640, 2025

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.729401Z

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Observation bea19ad1-8fe3-46f9-bb13-de15d049a8ab · outbound

This paper cites Fetal abdominal structures segmentation dataset using ultrasonic images.Mendeley Data, 1:1, 2023.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Fetal abdominal structures segmentation dataset using ultrasonic images.Mendeley Data, 1:1, 2023

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.804560Z

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Observation 8d78e0c7-e280-4bf9-8264-73dfe554cd4f · outbound

This paper cites Focus: four-chamber ultrasound image dataset for fetal cardiac biometric measurement.Zenodo10, 5281, 2025.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Focus: four-chamber ultrasound image dataset for fetal cardiac biometric measurement.Zenodo10, 5281, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.910759Z

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Observation a10f6ddf-97a1-4f3a-8e39-5467cc452562 · outbound

This paper cites Automated measurement of fetal head circumference using 2d ultrasound images.PloS one, 13(8):e0200412, 2018.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Automated measurement of fetal head circumference using 2d ultrasound images.PloS one, 13(8):e0200412, 2018

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:59.984967Z

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Observation 6fa201b4-1c02-4e14-9550-0325ea28307e · outbound

This paper cites Automated breast ultrasound lesions detection using convolutional neural networks.IEEE journal of biomedical and health informatics, 22(4):1218–1226, 2017.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Automated breast ultrasound lesions detection using convolutional neural networks.IEEE journal of biomedical and health informatics, 22(4):1218–1226, 2017

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.160389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f758a0c2-1aff-4845-b660-39964d8e16a1 · outbound

This paper cites Dataset of breast ultrasound images.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Dataset of breast ultrasound images

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.297176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18ebaf8d-8658-40b6-ba3b-61f6dd1f838b · outbound

This paper cites Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task.Engineering Applications of Artificial Intelligence, 127:107292, 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task.Engineering Applications of Artificial Intelligence, 127:107292, 2024

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.425282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e0f665-cee4-4e3d-b0b3-9f1c13f9418b · outbound

This paper cites An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies.Computers in Biology and Medicine, 152:106438, 2023.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies.Computers in Biology and Medicine, 152:106438, 2023

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.593124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd0b415-38ec-40e0-a6c6-4accc6d3a3c4 · outbound

This paper cites Segmentation and recognition of breast ultrasound images based on an expanded u-net.Plos one, 16(6):e0253202, 2021.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Segmentation and recognition of breast ultrasound images based on an expanded u-net.Plos one, 16(6):e0253202, 2021

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.762893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e554e162-1c0a-4185-bdc9-327afdca639e · outbound

This paper cites The open kidney ultrasound data set.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation The open kidney ultrasound data set

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:00.934407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ecc5e7-9a66-4272-9851-e3ab04b248b0 · outbound

This paper cites Curated benchmark dataset for ultrasound based breast lesion analysis.Scientific Data, 11(1):148, 2024.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Curated benchmark dataset for ultrasound based breast lesion analysis.Scientific Data, 11(1):148, 2024

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:01.092121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 889ef938-70c4-4e9c-a3c1-b561a86844da · outbound

This paper cites Common Carotid Artery Ultrasound Images, 2022.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Common Carotid Artery Ultrasound Images, 2022

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:01.177360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aebdb01-8d26-4ad9-b156-c4c415e83a2f · outbound

This paper cites Algorithm guided outlining of 105 pancreatic cancer liver metastases in ultrasound.Scientific Reports, 7(1):12779, 2017.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Algorithm guided outlining of 105 pancreatic cancer liver metastases in ultrasound.Scientific Reports, 7(1):12779, 2017

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:01.273853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfbdabf1-3aa6-4df6-994b-1d522f0b4c71 · outbound

This paper cites Please segment the suspicious tumor region in this breast ultrasound image.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation Please segment the suspicious tumor region in this breast ultrasound image

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-03T11:50:01.382249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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