Paper Citation Record · LEDGER

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2507.11055.

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

pith.paper-citation-record.v1
2507.11055 v3

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 49484c5f-8436-41e0-9ba0-4cdc7ee783d9 · outbound

This paper cites Medical image segmentation review: The suc- cess of u-net.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Medical image segmentation review: The suc- cess of u-net

Reference 1

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This paper cites Sabuncu, John Guttag, and Adrian V.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Sabuncu, John Guttag, and Adrian V

Reference 2

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This paper cites Density-based clustering based on hierarchical density esti- mates.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Density-based clustering based on hierarchical density esti- mates

Reference 3

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This paper cites Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration

Reference 4

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 5

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This paper cites Vlp: A survey on vision-language pre-training.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Vlp: A survey on vision-language pre-training

Reference 6

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This paper cites Deep learning with edge comput- ing: A review.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Deep learning with edge comput- ing: A review

Reference 7

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

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 8

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This paper cites Prior: Prototype representation joint learning from medical images and reports.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Prior: Prototype representation joint learning from medical images and reports

Reference 9

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 10

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

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Measures of the amount of ecologic association between species

Reference 11

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This paper cites Value of multidetector computed tomogra- phy image segmentation for preoperative planning in general surgery.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Value of multidetector computed tomogra- phy image segmentation for preoperative planning in general surgery

Reference 12

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This paper cites Vision-and-language navigation: A survey of tasks, methods, and future directions.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Vision-and-language navigation: A survey of tasks, methods, and future directions

Reference 13

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This paper cites Feasibility of real- time workflow segmentation for tracked needle interven- tions.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Feasibility of real- time workflow segmentation for tracked needle interven- tions

Reference 14

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This paper cites Lga: A language guide adapter for advancing the sam model’s capabilities in medi- cal image segmentation.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Lga: A language guide adapter for advancing the sam model’s capabilities in medi- cal image segmentation

Reference 15

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This paper cites Lungren, and Serena Yeung.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Lungren, and Serena Yeung

Reference 16

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This paper cites ´Etude comparative de la distribution florale dans une portion des alpes et des jura.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation ´Etude comparative de la distribution florale dans une portion des alpes et des jura

Reference 17

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Kvasir-seg: A segmented polyp dataset

Reference 18

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This paper cites Registration and segmenta- tion for image-guided therapy.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Registration and segmenta- tion for image-guided therapy

Reference 19

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This paper cites Optical image-guided surgery—where do we stand? Molecular Imaging and Biology, 13:199–207, 2011.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Optical image-guided surgery—where do we stand? Molecular Imaging and Biology, 13:199–207, 2011

Reference 20

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This paper cites Lvit: language meets vision transformer in medical image seg- mentation.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Lvit: language meets vision transformer in medical image seg- mentation

Reference 21

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 22

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Image segmenta- tion using text and image prompts

Reference 23

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This paper cites Segment anything in medical images.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Segment anything in medical images

Reference 24

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Atten- tion res-unet with guided decoder for semantic segmentation of brain tumors

Reference 25

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This paper cites Breast cancer segmentation methods: current status and 9 future potentials.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Breast cancer segmentation methods: current status and 9 future potentials

Reference 26

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Mosmeddata: Chest ct scans with covid-19 related findings

Reference 27

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Attention U-Net: Learning Where to Look for the Pancreas

Reference 28

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This paper cites Towards building multilingual language model for medicine.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Towards building multilingual language model for medicine

Reference 29

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This paper cites Language models are unsuper- vised multitask learners.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Language models are unsuper- vised multitask learners

Reference 30

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Learning transferable visual models from natural language supervi- sion

Reference 31

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Ronneberger, P

Reference 32

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Siddique, S

Reference 33

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Prototypical networks for few-shot learning

Reference 34

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Large language models in medicine

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Neural discrete representation learning

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Cris: Clip- driven referring image segmentation

Reference 37

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Provision of automated step-by-step procedural guidance in virtual reality surgery simulation

Reference 38

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Bridging vision and language en- coders: Parameter-efficient tuning for referring image seg- mentation

Reference 39

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Robust classification with convolutional proto- type learning

Reference 40

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Covid-19: im- munopathogenesis and immunotherapeutics

Reference 41

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This paper cites Enabling text-free inference in language- guided segmentation of chest x-rays via self-guidance.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Enabling text-free inference in language- guided segmentation of chest x-rays via self-guidance

Reference 42

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation [retracted] u-net-based medical image segmentation

Reference 43

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This paper cites Vision-language models for vision tasks: A survey.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Vision-language models for vision tasks: A survey

Reference 44

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Lungren, Tristan Naumann, Sheng Wang, and Hoifung Poon

Reference 45

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Madapter: A better interaction between image and language for medical image segmentation

Reference 46

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This paper cites A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities

Reference 47

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This paper cites Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:16.974342Z

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Observation 3ae3ac40-fa20-4b40-99e8-39e91f68bae7 · outbound

This paper cites an unresolved cited work.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:25:16.952313Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e2c8957-5f2b-4082-9ac4-aa1f6d119075 · outbound

This paper cites an unresolved cited work.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 462

Resolution: parse uncertain; no resolver link, observed 2026-08-06T17:25:15.059237Z

Source-reported events for the cited work

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Observation 8379162b-e99a-46da-808e-9c710586958c · outbound

This paper cites an unresolved cited work.

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T17:25:17.548603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 7f1cce9d-9ea4-4e7e-a777-8206e2317d64 · inbound

Localization-Infused Vision-Language Semantic Fusion for Text-Guided Medical Image Segmentation cites this paper.

Localization-Infused Vision-Language Semantic Fusion for Text-Guided Medical Image Segmentation Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T03:33:56.305981Z

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Unavailable: canonical work link unavailable.