XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning | Paper Citation Record

Observation 7f1c5019-ab49-48a9-bee9-926c54edd163 · outbound

This paper cites Key statistics for breast cancer.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Key statistics for breast cancer

Reference 1

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Observation 0071a102-c5b3-4187-b9a5-5697b2c445e1 · outbound

This paper cites Nicholson, Michael Silverstein, John B.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Nicholson, Michael Silverstein, John B

Reference 2

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This paper cites Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group.Eur J Cancer, 46(8):1296–1316, 2010.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group.Eur J Cancer, 46(8):1296–1316, 2010

Reference 3

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This paper cites Carney, Diana L.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Carney, Diana L

Reference 4

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This paper cites Fuchsjäger, Paola Clauser, and Ritse M.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Fuchsjäger, Paola Clauser, and Ritse M

Reference 5

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This paper cites Trimboli, Alexandra Athanasiou, and et al.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Trimboli, Alexandra Athanasiou, and et al

Reference 6

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This paper cites an unresolved cited work.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Unresolved cited work

Reference 7

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Observation 04eb58d2-b9f2-4c5d-8061-d82472c2df05 · outbound

This paper cites Breast ultrasound tumor classification using a hybrid multitask cnn-transformer network.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Breast ultrasound tumor classification using a hybrid multitask cnn-transformer network

Reference 8

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Observation 5f4c37a1-5867-44e2-bb9e-41f0a087f54e · outbound

This paper cites D’Orsi, Edward A.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning D’Orsi, Edward A

Reference 9

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Observation 9b389d8d-7592-4aa1-bf61-b6ec4f10b6bb · outbound

This paper cites Ultrasound radiomics in personalized breast management: Current status and future prospects.Frontiers in Oncology, 12:963612, 2022.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Ultrasound radiomics in personalized breast management: Current status and future prospects.Frontiers in Oncology, 12:963612, 2022

Reference 10

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Observation 84d70892-62a0-4047-bef2-8ba94a83c2e7 · outbound

This paper cites Alison Noble and Dounia Boukerroui.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Alison Noble and Dounia Boukerroui

Reference 11

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Observation b970adb3-2bc3-4855-8e84-efa4b7e3224b · outbound

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

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning U-net: Convolutional networks for biomedical image segmentation

Reference 12

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This paper cites Unet++: A nested u-net architecture for medical image segmentation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Unet++: A nested u-net architecture for medical image segmentation

Reference 13

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This paper cites Deep residual learning for image recognition.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Deep residual learning for image recognition

Reference 14

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This paper cites Weinberger.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Weinberger

Reference 15

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This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Attention U-Net: Learning Where to Look for the Pancreas

Reference 16

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Observation 67bd04ca-bc92-42d1-9e62-76728e9f1299 · outbound

This paper cites Attention Mechanisms in Medical Image Segmentation: A Survey.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 17

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Observation 3e9b395a-ff9e-407b-856e-9e2e9314290c · outbound

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

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation 5b627d81-9dc2-4293-a144-2a10c30226d4 · outbound

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

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 19

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Observation 9804822e-e720-4388-8619-942fc5398bbf · outbound

This paper cites Multi-task breast ultrasound image classifi- cation and segmentation using swin transformer and vmamba models.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Multi-task breast ultrasound image classifi- cation and segmentation using swin transformer and vmamba models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-08-04T22:44:44.777111Z

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This paper cites Breast ultrasound tumor classification using a hybrid multitask cnn-transformer network.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Breast ultrasound tumor classification using a hybrid multitask cnn-transformer network

Reference 21

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Observation 7176f03d-0e49-4677-b0b2-e9524a2401d1 · outbound

This paper cites Domain adaptation for medical image analysis: A survey.IEEE Transactions on Biomedical Engineering, 69(3):1173–1185, 2022.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Domain adaptation for medical image analysis: A survey.IEEE Transactions on Biomedical Engineering, 69(3):1173–1185, 2022

Reference 22

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Observation c28540e5-7500-4e02-bec4-0a30426711b1 · outbound

This paper cites Stan: Small tumor-aware network for breast ultrasound image segmentation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Stan: Small tumor-aware network for breast ultrasound image segmentation

Reference 23

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This paper cites Freer, and Min Xian.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Freer, and Min Xian

Reference 24

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Observation daaeb35a-8181-4635-96f7-9910b50b4aa8 · outbound

This paper cites Incorporating the breast imaging reporting and data system (bi-rads) into deep learning for breast ultrasound.NPJ Breast Cancer, 7:8, 2021.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Incorporating the breast imaging reporting and data system (bi-rads) into deep learning for breast ultrasound.NPJ Breast Cancer, 7:8, 2021

Reference 25

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Observation c0d1ab6d-de23-4795-8e6c-2797d0482277 · outbound

This paper cites Incorporating the breast imaging reporting and data system lexicon with a fully convolutional network for malignancy detection on breast ultrasound.Diagnostics, 12(1):66, 2022.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Incorporating the breast imaging reporting and data system lexicon with a fully convolutional network for malignancy detection on breast ultrasound.Diagnostics, 12(1):66, 2022

Reference 26

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Observation 7a5703e7-2d0f-47ce-bbd2-ddaa98973da3 · outbound

This paper cites Anatomically constrained neural networks (acnn): Application to cardiac image enhance- ment and segmentation.IEEE Transactions on Medical Imaging, 2017.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Anatomically constrained neural networks (acnn): Application to cardiac image enhance- ment and segmentation.IEEE Transactions on Medical Imaging, 2017

Reference 27

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Observation b20281ea-5b0f-4678-a9dc-0310690191b5 · outbound

This paper cites Boundary loss for highly unbalanced segmentation.Medical Image Analysis, 67:101851, 2021.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Boundary loss for highly unbalanced segmentation.Medical Image Analysis, 67:101851, 2021

Reference 28

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This paper cites Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

Reference 29

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This paper cites Topology-preserving deep image segmentation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Topology-preserving deep image segmentation

Reference 30

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This paper cites High-level prior-based loss functions for medical image segmentation: A survey.Computerized Medical Imaging and Graphics, 88: 101852, 2021.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning High-level prior-based loss functions for medical image segmentation: A survey.Computerized Medical Imaging and Graphics, 88: 101852, 2021

Reference 31

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XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Unresolved cited work

Reference 32

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This paper cites A critical review and uniformized representation of statistical distributions modeling the envelope of ultrasonic echoes.Ultrasound in Medicine & Biology, 36(7): 1037–1051, 2010.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning A critical review and uniformized representation of statistical distributions modeling the envelope of ultrasonic echoes.Ultrasound in Medicine & Biology, 36(7): 1037–1051, 2010

Reference 33

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This paper cites Texture quantified from ultrasound nakagami parametric images is diagnostically relevant for breast lesions.Scientific Reports, 13:10019,.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Texture quantified from ultrasound nakagami parametric images is diagnostically relevant for breast lesions.Scientific Reports, 13:10019,

Reference 34

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This paper cites Christensen, Armando Manduca, Seth Ehrenberg, and et al.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Christensen, Armando Manduca, Seth Ehrenberg, and et al

Reference 35

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This paper cites Segment Anything.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Segment Anything

Reference 36

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This paper cites URL https://pmc.ncbi.nlm.nih.gov/articles/PMC10285086/.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning URL https://pmc.ncbi.nlm.nih.gov/articles/PMC10285086/

Reference 37

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Observation e5d0ba69-42fa-4f61-a018-4af36a1ae0b5 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 38

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This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

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XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Image Segmentation Using Text and Image Prompts

Reference 40

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This paper cites Microsoft coco: Common objects in context.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Microsoft coco: Common objects in context

Reference 41

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This paper cites Berg, and Tamara L.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Berg, and Tamara L

Reference 42

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XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Unresolved cited work

Reference 43

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Observation 632e0e1b-2f72-4bb6-8444-2688c0225870 · outbound

This paper cites Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images

Reference 44

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This paper cites Segment anything in medical images.Nature Communications, 15(1):1022, 2024.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Segment anything in medical images.Nature Communications, 15(1):1022, 2024

Reference 45

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This paper cites Segment Anything Model for Medical Images?.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Segment Anything Model for Medical Images?

Reference 46

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This paper cites CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

Reference 47

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This paper cites CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention

Reference 48

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Observation 6a82f5ef-4a3f-4f29-8866-b4ea9c542007 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Customized Segment Anything Model for Medical Image Segmentation

Reference 49

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XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Unresolved cited work

Reference 50

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Observation 067e4770-d1e4-45bd-b322-3ede08a8148e · outbound

This paper cites Sanity checks for saliency maps.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Sanity checks for saliency maps

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:44.983911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efdf56e0-2084-4126-9cc7-31aca5a4f519 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T22:44:41.155155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e565988-4261-4cb7-a446-d076e6acd064 · outbound

This paper cites U-kan makes strong backbone for medical image segmentation and generation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning U-kan makes strong backbone for medical image segmentation and generation

Reference 53

Resolution: verified exact; doi, observed 2026-08-04T22:44:41.933844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d41d4358-9e8f-4044-8e5b-eadd0b9d8156 · outbound

This paper cites Anatosegnet: Anatomy based cnn-transformer network for enhanced breast ultrasound image segmentation.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Anatosegnet: Anatomy based cnn-transformer network for enhanced breast ultrasound image segmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:44.965092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 133ac89a-eb74-4239-bbcc-ed707c2b0b69 · outbound

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

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Curated benchmark dataset for ultrasound based breast lesion analysis.Scientific Data, 11(1):148, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:44.974195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fa66358-26b6-4c81-88df-914354d38c01 · outbound

This paper cites URL https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/ Reporting-and-Data-Systems/BI-RADS.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning URL https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/ Reporting-and-Data-Systems/BI-RADS

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:45.071970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f2f6f2f-c7d0-4c67-a26f-659cfd42123b · outbound

This paper cites ISBN 978-3-031-43901-8.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning ISBN 978-3-031-43901-8

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:45.091410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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