Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation | Paper Citation Record

Observation 14ec6b2d-be57-49c3-88b2-d5b3453942ff · outbound

This paper cites ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.661544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 442ea059-ff64-49f6-bce4-fbad1c93aa78 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.513959Z

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.

Observation e8df7f84-649a-41b7-be73-3474d5959561 · outbound

This paper cites Uni- verseg: Universal medical image segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Uni- verseg: Universal medical image segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.503171Z

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.

Observation 12c0fd30-0c69-43f7-8047-8fbe67e41fc4 · outbound

This paper cites Seg- mentation by registration-enabled sam prompt engineering using five reference images.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Seg- mentation by registration-enabled sam prompt engineering using five reference images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.493501Z

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.

Observation 620c5b8b-8d10-4f98-808e-1d6809d98dd6 · outbound

This paper cites Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.484058Z

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.

Observation cc499de2-d45e-4400-b5f5-8ae87d89fa43 · outbound

This paper cites REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.681478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ce41c7-ba2e-443f-8aea-9ea25d32ef16 · outbound

This paper cites Isuog practice guide- lines: intrapartum ultrasound.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Isuog practice guide- lines: intrapartum ultrasound

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.474393Z

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.

Observation 7ede956f-622c-4252-9825-3bf62cc9ad9f · outbound

This paper cites Modeling Sequences with Structured State Spaces.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Modeling Sequences with Structured State Spaces

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.464431Z

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.

Observation f1e0ed1a-96cd-41ac-9d08-761879350f04 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.693359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986b0c75-2b6c-4059-9c56-9b9b37a7f195 · outbound

This paper cites Deep residual learning for image recognition.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Deep residual learning for image recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.697159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c116b31a-e311-46ef-bc7b-c8c39cfa631e · outbound

This paper cites Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.449807Z

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.

Observation 0e884586-eec9-4718-854b-cf93ee9ee6c8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.705469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a3ccea-bd0c-43f1-ac28-8e3b8f7e4ad1 · outbound

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

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.440002Z

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.

Observation a463c361-0fbf-4c7a-8675-b1e8ba9b0459 · outbound

This paper cites Pubic Symphysis-Fetal Head Segmentation and Angle of Progression, 2023.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Pubic Symphysis-Fetal Head Segmentation and Angle of Progression, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.429922Z

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.

Observation 17a60cbe-5be6-4987-83a4-fb58214de8da · outbound

This paper cites VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.717492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440103db-632a-4c6a-80a7-78b6e6c91ae9 · outbound

This paper cites Segment any- thing.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Segment any- thing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.419634Z

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.

Observation 9997a0a6-a13b-4247-831e-d7c92c0359c8 · outbound

This paper cites Visual in-context prompting.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Visual in-context prompting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.409551Z

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.

Observation b8029d65-750b-4a94-b9d1-e6424b191d63 · outbound

This paper cites Evaluation of prostate segmentation algorithms for mri: the promise12 challenge.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Evaluation of prostate segmentation algorithms for mri: the promise12 challenge

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.398805Z

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.

Observation ffaf2f62-0907-4c4f-9894-c08a28baef17 · outbound

This paper cites The jnu-ifm dataset for segmenting pubic symphysis-fetal head.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation The jnu-ifm dataset for segmenting pubic symphysis-fetal head

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.388848Z

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.

Observation 47fa46c0-65f2-43c1-9efd-238f470b759b · outbound

This paper cites Semi-supervised medical image segmentation through dual- task consistency.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Semi-supervised medical image segmentation through dual- task consistency

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.379260Z

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.

Observation 65b31dd2-233e-4611-aa88-a47fa2187992 · outbound

This paper cites FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.738764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a464f6-6609-4d40-92b0-46430e925f4a · outbound

This paper cites Segment anything in medical images.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Segment anything in medical images

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.742560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb2bb39-cffa-4096-8ce2-1d9fa75b26fe · outbound

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

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.746727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a38660f-b786-4a44-8f11-aec1dd6a1840 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.363763Z

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.

Observation 01f17d5f-35d8-40ca-a679-0223f16ccafb · outbound

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

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation SAM 2: Segment Anything in Images and Videos

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.754773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc97396d-21ed-4a8b-93ba-ed21a2d0797b · outbound

This paper cites Auto- mated localisation of optic disk and fovea in retinal fundus images.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Auto- mated localisation of optic disk and fovea in retinal fundus images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.353765Z

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.

Observation 1ea2fad7-f99c-4211-ac34-278f6aeeb983 · outbound

This paper cites AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.762365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4db26bf-13a2-4827-b979-02d08e917134 · outbound

This paper cites Vrp-sam: Sam with visual reference prompt.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Vrp-sam: Sam with visual reference prompt

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.343975Z

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.

Observation 4071ef4a-3567-497c-b266-1c53a3428009 · outbound

This paper cites Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.334440Z

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.

Observation 3f44fc3d-4dcd-4c1b-9c45-2c32d228f806 · outbound

This paper cites Attention is all you need.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Attention is all you need

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.773615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fafebf9-ce43-4e01-b34a-4462127c9966 · outbound

This paper cites Deeply supervised 3d fully convolutional networks with group dilated convolution for automatic mri prostate segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Deeply supervised 3d fully convolutional networks with group dilated convolution for automatic mri prostate segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.320314Z

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.

Observation 895ead5c-c745-4448-a252-9cff3642445d · outbound

This paper cites Review of large vision models and visual prompt engineering.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Review of large vision models and visual prompt engineering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.310909Z

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.

Observation 33ffb6b1-668d-447a-b70b-7a2151e10502 · outbound

This paper cites Boundary and entropy-driven ad- versarial learning for fundus image segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Boundary and entropy-driven ad- versarial learning for fundus image segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.302029Z

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.

Observation b6e40a45-53d0-4f81-83ae-0c6ddfe20bb2 · outbound

This paper cites Consistency-guided meta- learning for bootstrapping semi-supervised medical image segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Consistency-guided meta- learning for bootstrapping semi-supervised medical image segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.292391Z

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.

Observation 89953310-8e3c-439f-9c70-107a8fd1885b · outbound

This paper cites Cbam: Convolutional block attention module.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Cbam: Convolutional block attention module

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.274055Z

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.

Observation 6ee6a43f-e4a3-4ac5-a717-f2745825f4c3 · outbound

This paper cites One-prompt to segment all med- ical images.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation One-prompt to segment all med- ical images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.265115Z

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.

Observation c5fd905f-8e00-4c57-be4c-42c5cb55db63 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.802795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eb68023-507a-4172-aad5-575612fd95a9 · outbound

This paper cites Self-prompting large vision models for few-shot medical image segmenta- tion.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Self-prompting large vision models for few-shot medical image segmenta- tion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.255903Z

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.

Observation 796231c6-c561-40ed-98cf-7e06ee204137 · outbound

This paper cites EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.810240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9400399-fe55-42ec-883f-370a66744e76 · outbound

This paper cites TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.813831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70168af-6f70-414f-833f-d7ab863a68df · outbound

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

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Customized Segment Anything Model for Medical Image Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.817574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b9c05e-873b-4aa5-84df-24eee15462a8 · outbound

This paper cites Personalize Segment Anything Model with One Shot.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Personalize Segment Anything Model with One Shot

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.821410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd74614-0b91-4ae3-a099-e58c105e4fc6 · outbound

This paper cites FD-Vision Mamba for Endoscopic Exposure Correction.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation FD-Vision Mamba for Endoscopic Exposure Correction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.824747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90dbf59e-6503-470b-a4ab-2209c0385b4a · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T10:10:42.828293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d388a60a-4dcd-4229-8252-a16557d382d9 · outbound

This paper cites Segment everything everywhere all at once.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Segment everything everywhere all at once

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.246404Z

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.

Observation 3a23929f-861d-4fb5-b3b2-dfb6951340aa · outbound

This paper cites Settings for Image Dataset.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Settings for Image Dataset

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.225077Z

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.

Observation 79f52cd8-fc24-4152-a33d-71d6d8ebcea9 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.214219Z

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.

Observation e22079b1-842d-4e51-94a9-66283a77b19d · outbound

This paper cites We select the prediction that the highest overlaps with ground truth to calculate the model’s Dice score.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation We select the prediction that the highest overlaps with ground truth to calculate the model’s Dice score

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.193862Z

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.

Observation f9b43eb1-6636-4532-8433-58b8e5e258fd · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.184433Z

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.

Observation dd6ad7a9-39af-4778-8210-bd35482bc157 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.203929Z

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.

Observation 16e23052-c9fd-4894-b34b-e2fabfdf2554 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.175230Z

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.

Observation 4f4c7126-ebf0-4862-8263-32004105916d · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.165911Z

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.

Observation 3b4645b7-f003-4297-a63c-bce23396a0b6 · outbound

This paper cites non-target.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation non-target

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.156696Z

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.

Observation c5f21b20-4bbd-4f72-9712-bffdc16b909c · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.146952Z

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.

Observation 039f6bfe-4901-4a6a-a789-86782e4f435a · outbound

This paper cites 3D DSD-FCN [31] and MLB-Seg are existing SOTA models for PROMISE12 [18] dataset under fully supervised and semi-supervised settings, respectively.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation 3D DSD-FCN [31] and MLB-Seg are existing SOTA models for PROMISE12 [18] dataset under fully supervised and semi-supervised settings, respectively

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.137265Z

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.

Observation 8f301f2d-db13-447c-b237-45b52e6a88b6 · outbound

This paper cites Given that SAM2 is pretrained on a large-scale video dataset, it was a natural choice to integrate our method into SAM2 for video segmentation.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Given that SAM2 is pretrained on a large-scale video dataset, it was a natural choice to integrate our method into SAM2 for video segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.127777Z

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.

Observation ce848969-9b69-42df-8be8-6a3abe0e0500 · outbound

This paper cites #𝐹𝑟𝑎𝑚𝑒!"$%𝐹𝑟𝑎𝑚𝑒!.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation #𝐹𝑟𝑎𝑚𝑒!"$%𝐹𝑟𝑎𝑚𝑒!

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.117671Z

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.

Observation 07f175ae-f5d3-438b-ae2c-f5621cca7d40 · outbound

This paper cites For our proposed modules, we conducted ablations on CSM and CCM, visualized the effectiveness of the Selec- tive Map , and analyzed different encoder architectures within CSM.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation For our proposed modules, we conducted ablations on CSM and CCM, visualized the effectiveness of the Selec- tive Map , and analyzed different encoder architectures within CSM

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.107143Z

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.

Observation 2b64b74a-8d34-46e8-9da0-3ff252903975 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.097275Z

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.

Observation 05e2e20c-5350-4dcf-a9f3-96f6612b3aec · outbound

This paper cites The most notable improvement is on STARE-Vessel, where Dice increased by 39.3%.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation The most notable improvement is on STARE-Vessel, where Dice increased by 39.3%

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.087244Z

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.

Observation d6a1fa2e-45fc-4ac1-b2db-40e82a936e05 · outbound

This paper cites According to MedSAM’s supplementary mate- rials, its pretraining included FPA and REFUGE datasets.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation According to MedSAM’s supplementary mate- rials, its pretraining included FPA and REFUGE datasets

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T10:10:43.077930Z

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.

Observation 1d516bd0-2fe6-47bb-b14a-8ccd57307fb5 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:10:43.066375Z

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.

Observation afd7f613-9ae8-417a-9db7-196c7f074e03 · outbound

This paper cites an unresolved cited work.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Unresolved cited work

Reference 193

Resolution: parse uncertain; raw_fallback, observed 2026-08-09T10:10:43.283852Z

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.

Observation 125fdefc-2664-48dd-807c-75109c3661d3 · outbound

This paper cites Quantitative comparison results on four representative examples.

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation Quantitative comparison results on four representative examples

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:10:43.236506Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers