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Paper Citation Record · LEDGER

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

As of 17 August 2026, this Paper Citation Record lists 100 of 148 outbound references and 0 inbound Pith citation observations for arXiv:2412.15058.

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

pith.paper-citation-record.v1
2412.15058 v2

Coverage vector

measured 100 of 148 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:43:08.732680Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 148 outbound references displayed

  • verified exact4
  • verified fuzzy17
  • unresolved78
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 3ebc6ef5-d500-4671-ae0e-1cf238245ad6 · outbound

This paper cites Automatic segmentation of mandible in panoramic x-ray.Journal of Medical Imaging, 2(4):044003,.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Automatic segmentation of mandible in panoramic x-ray.Journal of Medical Imaging, 2(4):044003,

Reference 1

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Observation d504675d-3500-4a11-83ab-7592b8583dfc · outbound

This paper cites an unresolved cited work.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Unresolved cited work

Reference 2

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Observation 4d62631e-9997-4947-b106-59bd2e4c5219 · outbound

This paper cites Dataset of breast ultrasound images.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Dataset of breast ultrasound images

Reference 3

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Observation 77385bb5-1f53-40bc-990b-b17106dcc68e · outbound

This paper cites ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation

Reference 4

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Observation 2f64eb11-0699-43bc-8eb7-e666d3fd5aec · outbound

This paper cites Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Reference 5

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Observation e9b8ef8a-a6ca-49e2-ac4e-f3722d295d1c · outbound

This paper cites Layer Normalization.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Layer Normalization

Reference 6

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Observation 6912cdb5-1635-4953-96be-878b18c8a77f · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 7

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Observation 272e3001-b561-4515-927f-1d8b15ff7f3b · outbound

This paper cites Advancing the cancer genome atlas glioma mri collections with expert seg- mentation labels and radiomic features.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Advancing the cancer genome atlas glioma mri collections with expert seg- mentation labels and radiomic features

Reference 8

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Observation 181d59d1-53ba-471b-afc7-6876293bdafb · outbound

This paper cites Deep placental vessel segmentation for fetoscopic mosaicking.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Deep placental vessel segmentation for fetoscopic mosaicking

Reference 9

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Observation e48d2b5e-90f3-4562-a65a-a2352c53a295 · outbound

This paper cites Large-scale interactive object segmentation with human an- notators.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Large-scale interactive object segmentation with human an- notators

Reference 10

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Observation c7b15f8d-786d-457a-bcea-c01c51773765 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging , 37(11):2514–2525, 2018.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging , 37(11):2514–2525, 2018

Reference 11

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Observation cb1c83e3-2ab1-47ff-965a-a1f4e6d05511 · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The Liver Tumor Segmentation Benchmark (LiTS)

Reference 12

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Observation fd41ea69-9c8a-4a62-bda9-c83ac5d3e446 · outbound

This paper cites Synthseg: Segmenta- tion of brain mri scans of any contrast and resolution with- out retraining.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Synthseg: Segmenta- tion of brain mri scans of any contrast and resolution with- out retraining

Reference 13

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Observation 0500ac5c-5750-4e73-91c1-a3255e9aed22 · outbound

This paper cites Nci-isbi 2013 challenge: automated segmentation of prostate structures.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Nci-isbi 2013 challenge: automated segmentation of prostate structures

Reference 14

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Observation 743b79f7-b858-485b-9eaa-e26a7cfd307c · outbound

This paper cites Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learn- ing algorithm.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learn- ing algorithm

Reference 15

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Observation 44efb549-4b29-4dbc-bf1a-3f1a11f445e3 · outbound

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

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Sabuncu, John Guttag, and Adrian V

Reference 16

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Observation 4ea8bbe3-2939-4877-90a2-09289c0c529b · outbound

This paper cites Caicedo, Allen Goodman, Kyle W.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Caicedo, Allen Goodman, Kyle W

Reference 17

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Observation addef999-dfdc-4d1f-af40-51d1b14b1eb2 · outbound

This paper cites An integrated micro-and macroarchitectural analysis of the drosophila brain by computer-assisted serial section electron microscopy.PLoS biology, 8(10):e1000502, 2010.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance An integrated micro-and macroarchitectural analysis of the drosophila brain by computer-assisted serial section electron microscopy.PLoS biology, 8(10):e1000502, 2010

Reference 18

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Observation 7347a76e-917e-48c6-9a73-472bdaaf7115 · outbound

This paper cites SAM-Med2D.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance SAM-Med2D

Reference 19

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Observation 86508ace-ce21-4cbb-9554-fa49b2a21c33 · outbound

This paper cites Interactive medical image segmentation: A bench- mark dataset and baseline.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Interactive medical image segmentation: A bench- mark dataset and baseline

Reference 20

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Observation 02c3aff1-9d7c-40c5-ad7f-db47206a0bd0 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC).

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 21

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Observation ee07ff2c-34fb-455e-8886-e0f5f0e7a6af · outbound

This paper cites Neuralizer: General neuroimage analysis without re-training.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Neuralizer: General neuroimage analysis without re-training

Reference 22

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Observation 3a4dc585-f156-4f1e-954e-bf72d0f4e112 · outbound

This paper cites Anatomical priors in convolutional networks for unsuper- vised biomedical segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Anatomical priors in convolutional networks for unsuper- vised biomedical segmentation

Reference 23

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Observation b25d53db-206f-44be-9c38-b6374dd6fa2c · outbound

This paper cites Anatomical priors in convolutional networks for unsuper- vised biomedical segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Anatomical priors in convolutional networks for unsuper- vised biomedical segmentation

Reference 24

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Observation dddf92bf-8bf5-4c48-8c52-6e349354b1e1 · outbound

This paper cites Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

Reference 25

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Observation 738cdb27-7bb9-4b23-aac5-976a972393cb · outbound

This paper cites Teleophta: Machine learning and image process- ing methods for teleophthalmology.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Teleophta: Machine learning and image process- ing methods for teleophthalmology

Reference 26

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Observation de58b698-1d7f-4014-af33-ff007ba6779c · outbound

This paper cites Early detection of myocardial infarction in low- quality echocardiography.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Early detection of myocardial infarction in low- quality echocardiography

Reference 27

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Observation 3d85fa97-89d7-478a-bbd2-a21b81e11c58 · outbound

This paper cites Monai label: A framework for ai-assisted interactive label- ing of 3d medical images.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Monai label: A framework for ai-assisted interactive label- ing of 3d medical images

Reference 28

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Observation 00ef2ed0-9400-4be2-bf6f-3a5a49be0dc3 · outbound

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

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Measures of the amount of ecologic association between species

Reference 29

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Observation 7b7cf13b-07f0-4855-97c6-ed9017185778 · outbound

This paper cites Efficient graph-based image segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Efficient graph-based image segmentation

Reference 30

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Observation 8e1d478b-24b1-415e-983f-adf4478e89aa · outbound

This paper cites Freesurfer.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Freesurfer

Reference 31

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Observation 23fd4a5a-f348-4424-8e06-193e0215d255 · outbound

This paper cites Pan- nuke dataset extension, insights and baselines.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Pan- nuke dataset extension, insights and baselines

Reference 32

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Observation 088270c0-a041-47b6-abeb-b0f5a1dd522e · outbound

This paper cites Boosting your context by dual similarity checkup for in-context learning medical im- age segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Boosting your context by dual similarity checkup for in-context learning medical im- age segmentation

Reference 33

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Observation dd131c6b-d5e5-4df2-9cd7-bd28e628b15b · outbound

This paper cites Segmented anisotropic ssTEM dataset of neural tissue.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Segmented anisotropic ssTEM dataset of neural tissue

Reference 34

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Observation 63288b1d-b45a-4064-9ca6-22c346468f6b · outbound

This paper cites The mcic collection: a shared repository of multi- modal, multi-site brain image data from a clinical inves- tigation of schizophrenia.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The mcic collection: a shared repository of multi- modal, multi-site brain image data from a clinical inves- tigation of schizophrenia

Reference 35

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Observation fbfc86be-8441-4e93-9777-184c0d490eab · outbound

This paper cites Synthetic data in generalizable, learning-based neuroimaging.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Synthetic data in generalizable, learning-based neuroimaging

Reference 36

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Observation 0c396bcd-2398-4b74-934d-a0d12c3ce061 · outbound

This paper cites Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Reference 37

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Observation 11a687d4-13da-45f8-b681-a48bb129b3d5 · outbound

This paper cites Automatic segmentation of brain mris of 2-year-olds into 83 regions of interest.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Automatic segmentation of brain mris of 2-year-olds into 83 regions of interest

Reference 38

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Observation ad234f6f-3d8c-4c50-ae0c-90ec920d5119 · outbound

This paper cites Magnetic resonance imaging of the newborn brain: manual segmentation of labelled atlases in term-born and preterm infants.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Magnetic resonance imaging of the newborn brain: manual segmentation of labelled atlases in term-born and preterm infants

Reference 39

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Observation 269d5160-62d3-441e-bc98-1b0b53042ba9 · outbound

This paper cites Hover-net: Simultaneous segmentation and classi- fication of nuclei in multi-tissue histology images.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Hover-net: Simultaneous segmentation and classi- fication of nuclei in multi-tissue histology images

Reference 40

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Observation 1baeb2bd-9a23-4d13-8687-44df9369dfe1 · outbound

This paper cites Deep learning enables automatic detection and segmentation of brain metastases on multisequence mri.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Deep learning enables automatic detection and segmentation of brain metastases on multisequence mri

Reference 41

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Observation 5918130d-0b7b-4c31-a8a8-0a677ac2eb52 · outbound

This paper cites X-ray images of the hip joints.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance X-ray images of the hip joints

Reference 42

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Observation 6daec8e6-fd3c-43a9-9b86-fceec94cb3fe · outbound

This paper cites The state of the 10 art in kidney and kidney tumor segmentation in contrast- enhanced ct imaging: Results of the kits19 challenge.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The state of the 10 art in kidney and kidney tumor segmentation in contrast- enhanced ct imaging: Results of the kits19 challenge

Reference 43

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Observation 9f6ef529-c0c1-4cbd-8df9-15da22621e6f · outbound

This paper cites Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Reference 44

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source=pdf_text observed=2026-08-11T11:43:08.533025Z digest=sha256:0e2c1367803c4b2185ab8568a8a68de5325c246f227ba00eb0d35f250d8cb873

Observation 85e063b1-ade7-4a1a-9d0e-a3ab20e3fabd · outbound

This paper cites Greve, Bruce Fischl, John Guttag, and Adrian V.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Greve, Bruce Fischl, John Guttag, and Adrian V

Reference 45

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Observation 10e1d824-59e7-4e7e-8f10-13bf08277be9 · outbound

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

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Locating blood vessels in retinal images by piece- wise threshold probing of a matched filter response

Reference 46

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Observation 43e22e98-ae00-42a2-a298-8139da54ad59 · outbound

This paper cites Icl-sam: Synergizing in-context learn- ing model and sam in medical image segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Icl-sam: Synergizing in-context learn- ing model and sam in medical image segmentation

Reference 47

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source=pdf_text observed=2026-08-11T11:43:08.543661Z digest=sha256:f5a63fd8d9acf9699868da8df0846ffe5fd766a50bccbd9fb0a74067dd156c33

Observation 32593623-e883-429c-9360-c1d7ecff2419 · outbound

This paper cites How to efficiently adapt large segmentation model(sam) to medical images,.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance How to efficiently adapt large segmentation model(sam) to medical images,

Reference 48

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Observation 70ac20ad-998f-454f-9f50-ecbe31c444c4 · outbound

This paper cites Interformer: Real-time interactive image segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Interformer: Real-time interactive image segmentation

Reference 49

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Observation cc345657-9ac7-4960-884e-56f6d700e222 · outbound

This paper cites MatchSeg: Towards Better Segmentation via Reference Image Matching.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance MatchSeg: Towards Better Segmentation via Reference Image Matching

Reference 50

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Observation a1b71604-7e7d-4a89-b2ae-e64a6feff373 · outbound

This paper cites Klanderman, and William J Rucklidge.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Klanderman, and William J Rucklidge

Reference 51

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source=pdf_text observed=2026-08-11T11:43:08.557201Z digest=sha256:8fdac72abc73b80a1315a386b55908e43a347d393c864f8310d34140f7ef6683

Observation 0c501382-2a35-4e50-af28-a46cd123ccb5 · outbound

This paper cites Teeth segmentation dataset.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Teeth segmentation dataset

Reference 52

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source=pdf_text observed=2026-08-11T11:43:08.560799Z digest=sha256:35f66153d32b07d1311e5709f52aacb2ef15b0c1f95db62eeb8f8af258247c77

Observation 1776a325-0705-4623-9cfb-e91bfc558a05 · outbound

This paper cites Jaeger, Simon A.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Jaeger, Simon A

Reference 53

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source=pdf_text observed=2026-08-11T11:43:08.564412Z digest=sha256:a6ee8c581c627e564ed10dfe38653b5cfd345ca6ab81258ba4a6c1b72fb594bf

Observation 7c8e0fae-4034-4fca-87bf-9d8c3fa5c706 · outbound

This paper cites AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 54

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Observation dfa164fd-ad69-4503-ba2a-bdecdd9d8c87 · outbound

This paper cites an unresolved cited work.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-11T11:43:08.571262Z digest=sha256:ed20417cb00cb5612bc94d345f56dc4c82666355ebeb42d90663d9bd426fe922

Observation 14873762-f10b-414c-899e-f27a878d4851 · outbound

This paper cites Alper Selver, O ˘guz Dicle, Mustafa Barıs ¸, and N.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Alper Selver, O ˘guz Dicle, Mustafa Barıs ¸, and N

Reference 56

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Observation 162ed2d9-bf61-446d-a9b3-8e87a5aae19f · outbound

This paper cites Emre Kavur, N.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Emre Kavur, N

Reference 57

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Observation a6db1bfa-833b-42db-9052-7bb76f1007b1 · outbound

This paper cites Evaluation and improvement of segment anything model for interactive histopathology image segmentation,.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Evaluation and improvement of segment anything model for interactive histopathology image segmentation,

Reference 58

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source=pdf_text observed=2026-08-11T11:43:08.581851Z digest=sha256:6242ddafb03e408d80d976fb279c70d8595ab339ee61f29d2ef1e17ed53e8e2d

Observation c2fa8dd4-26fb-4d35-9e30-8c83a02d7ca0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Adam: A Method for Stochastic Optimization

Reference 59

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source=pdf_text observed=2026-08-11T11:43:08.585412Z digest=sha256:a67a42f860b3114e1854accdba060fb4c3dd407ca3b6bf8f4055c3286ecbd979

Observation f6d72411-f2cc-461c-b319-7decaabce7c6 · outbound

This paper cites Left ventricular wall motion estimation by ac- tive polynomials for acute myocardial infarction detection.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Left ventricular wall motion estimation by ac- tive polynomials for acute myocardial infarction detection

Reference 60

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source=pdf_text observed=2026-08-11T11:43:08.589152Z digest=sha256:a07f6ef061f9a87aecf2bbde10e6b83f6558ee6b23651f71bf49a26c8763be54

Observation a903d25f-c5b3-47c7-990a-3b1db921bed6 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick

Reference 61

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source=pdf_text observed=2026-08-11T11:43:08.593468Z digest=sha256:e3cdcd66b5ba09f3b57478ef7d37c47f1a0cf836d54d1e7f2942c4b241806eca

Observation 84f1d8ab-3dfa-4ce9-848d-55c558d569c3 · outbound

This paper cites Continuous adaptation for interac- tive object segmentation by learning from corrections.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Continuous adaptation for interac- tive object segmentation by learning from corrections

Reference 62

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source=pdf_text observed=2026-08-11T11:43:08.596928Z digest=sha256:2c074fae6a93ab1d8b3afffa42478925ad2d95acd74d159f451d7eff19576d56

Observation 3244dc39-f5df-4b23-9cea-53ba649e9565 · outbound

This paper cites Tracked 3d ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Tracked 3d ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry

Reference 63

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Observation 7e989c14-16dd-49fe-8069-66ef74ba0d70 · outbound

This paper cites Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge

Reference 64

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Observation 15300895-c53f-4018-9239-298b75fb0bb0 · outbound

This paper cites A dynamic 4d probabilistic atlas of 11 the developing brain.NeuroImage, 54(4):2750–2763, 2011.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance A dynamic 4d probabilistic atlas of 11 the developing brain.NeuroImage, 54(4):2750–2763, 2011

Reference 65

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Observation acf21a89-0aac-46a5-bbfb-ffecf0a89595 · outbound

This paper cites Segthor: segmentation of thoracic organs at risk in ct images.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Segthor: segmentation of thoracic organs at risk in ct images

Reference 66

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source=pdf_text observed=2026-08-11T11:43:08.608957Z digest=sha256:f4b6d1204182bc5c8629a18a95be8d5b7eeadefe685535c7ecfabc90c79c398f

Observation 49bac93f-25d3-433c-a674-56ed9e1495d9 · outbound

This paper cites Discobox: Weakly supervised instance segmentation and semantic correspondence from box su- pervision.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Discobox: Weakly supervised instance segmentation and semantic correspondence from box su- pervision

Reference 67

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source=pdf_text observed=2026-08-11T11:43:08.613210Z digest=sha256:1114577a422dbfea19c4b02d697c8e6efa955a5af03c182463fc982e65c3dd6a

Observation edd649f0-bf93-4a9d-b1fc-4a0c6188aeae · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge

Reference 68

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source=pdf_text observed=2026-08-11T11:43:08.616599Z digest=sha256:219676f73514eb2dcdf2375bfa63cd7754063b703e0d89e80cfd425161211523

Observation 649fa864-6a11-48ae-8e64-f32e090e4b9c · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Deep learning for segmentation using an open large-scale dataset in 2d echocardiography

Reference 69

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source=pdf_text observed=2026-08-11T11:43:08.619903Z digest=sha256:d32de749d2c642554f51de8394d3e7c95c8c7b6fb85828fafd70ad7c327f7c2d

Observation 899dd8f3-4b3a-43d2-9119-9d43c630e2bc · outbound

This paper cites Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric mri: a review.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric mri: a review

Reference 70

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Observation 6ca5610b-55f1-4c41-ab38-d9cbac8507e1 · outbound

This paper cites OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

Reference 71

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 967d036e-5620-4483-8d91-f1ab56168e85 · outbound

This paper cites Scribblevc: Scribble-supervised medical im- age segmentation with vision-class embedding.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Scribblevc: Scribble-supervised medical im- age segmentation with vision-class embedding

Reference 72

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source=pdf_text observed=2026-08-11T11:43:08.631460Z digest=sha256:3b194e86220fbe255ba8947ec8d63e0d2c26ec6865cb01c916cebd65b02d2b40

Observation ba108cd6-994e-4364-833e-f2fa120293d9 · outbound

This paper cites Scribblesup: Scribble-supervised convolutional networks for semantic segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Scribblesup: Scribble-supervised convolutional networks for semantic segmentation

Reference 73

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source=pdf_text observed=2026-08-11T11:43:08.635093Z digest=sha256:efd53fa7f2ed3eca81b2e5fc9419862cc54258fc6fed829d7945b2c9149b116f

Observation dd219d38-1427-4193-a8a1-39aec476fe4e · outbound

This paper cites Focal loss for dense object detection.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Focal loss for dense object detection

Reference 74

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source=pdf_text observed=2026-08-11T11:43:08.639010Z digest=sha256:58e6d1d3072312a9de8f7edf3c17824aa413d37cbfe222531edcad4500f892fc

Observation ae7ed6ea-3e51-4e7e-960e-4ac75f00d8e9 · outbound

This paper cites Samus: Adapting segment any- thing model for clinically-friendly and generalizable ultra- sound image segmentation, 2023.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Samus: Adapting segment any- thing model for clinically-friendly and generalizable ultra- sound image segmentation, 2023

Reference 75

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source=pdf_text observed=2026-08-11T11:43:08.642235Z digest=sha256:36e6b627f38254345934b2412a862a151edd20bbc8c9e4d5c93d12d20f1e627b

Observation 802767d5-aa6d-48b8-8fd3-415736b2cd68 · outbound

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

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Evaluation of prostate segmentation algorithms for mri: the promise12 challenge

Reference 76

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.645733Z digest=sha256:a279e314731e0f9cea6ed69b18862de03c3a1255324e0203d8d4e891917f5389

Observation d0a19fce-2622-4aac-bd97-71ded5dee81e · outbound

This paper cites ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations

Reference 77

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source=pdf_text observed=2026-08-11T11:43:08.649221Z digest=sha256:6627d050935ae6a64d18a04ce820a50431057e4ea80fbb33376d305fef9732c6

Observation fff67beb-a2af-4b4e-bd60-80178ac7bf86 · outbound

This paper cites Simpleclick: Interactive image segmentation with simple vision transformers.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Simpleclick: Interactive image segmentation with simple vision transformers

Reference 78

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no resolver link, observed 2026-08-11T11:43:08.652523Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.652523Z digest=sha256:911f06baa3465be0f67041b605feb6922c756a5746b8769015380e75a64e165a

Observation c4160072-90a5-472d-b458-5de022484358 · outbound

This paper cites Rethinking interactive image segmentation with low latency high quality and diverse prompts.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Rethinking interactive image segmentation with low latency high quality and diverse prompts

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.655607Z digest=sha256:b073fbcdb121a6a48a10a263f726cad2bb99ce7af8ea90899b7e50372f64e2bb

Observation 4ade8944-4f2d-4009-9b1b-075231598f64 · outbound

This paper cites The effects of interactive la- tency on exploratory visual analysis.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The effects of interactive la- tency on exploratory visual analysis

Reference 80

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.658667Z digest=sha256:c74cf32ee485af16d397366b8381fbd8b1d54296914f136c44d2708492a54bd0

Observation 4f1d2daa-0a90-4e59-a416-9049c40340c1 · outbound

This paper cites One thing one click: A self-training approach for weakly supervised 3d semantic segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance One thing one click: A self-training approach for weakly supervised 3d semantic segmentation

Reference 81

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no resolver link, observed 2026-08-11T11:43:08.661863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.661863Z digest=sha256:8df81ed42da35698a046a28048b785465365b71be7899a38a5d066c8dc5d3e0c

Observation 9fae4ce4-d6cb-4f62-8ba0-b7c050b81e39 · outbound

This paper cites Annotated high-throughput microscopy image sets for validation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Annotated high-throughput microscopy image sets for validation

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.891573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.665701Z digest=sha256:25b18381705e9484cba183c75164a8cd3ffb0110980525e453fc7928d49f6937

Observation 879b783e-faf6-471f-9993-aa6c68fa0e0f · outbound

This paper cites A vertebral segmentation dataset with fracture grading.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance A vertebral segmentation dataset with fracture grading

Reference 83

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raw_fallback, observed 2026-08-11T11:43:09.880593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.669427Z digest=sha256:45cca8b1a17d71257abcd93f1c803242353b7bc2f0fd6c83cbbeff5e0e8d7904

Observation e3f361fd-b401-4f69-a45e-b6091627146b · outbound

This paper cites WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Reference 84

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no resolver link, observed 2026-08-11T11:43:08.672917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.672917Z digest=sha256:53973de240f987a3eaab341c4d73dc06442cef351e2ea8571364f08f568b808e

Observation 1cff3001-7111-468b-ab1e-043b5f42e053 · outbound

This paper cites Mideepseg: Minimally interactive segmentation of unseen objects from medical images using deep learning.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Mideepseg: Minimally interactive segmentation of unseen objects from medical images using deep learning

Reference 85

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.869593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.677909Z digest=sha256:e55b581f0663c94be1723c39cbe8184f81831d2b7119cedc4324a09164c5cd78

Observation 43533e60-f29c-4eb3-9d3e-9f7a1c915131 · outbound

This paper cites Scribble- supervised medical image segmentation via dual-branch network and dynamically mixed pseudo labels supervision.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Scribble- supervised medical image segmentation via dual-branch network and dynamically mixed pseudo labels supervision

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.859674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.681407Z digest=sha256:bab53033b3c653fd9b8d04487a12835bba9ce3f1fa1d96e86a7a4d8c7ba4ac5d

Observation e6342922-42da-4460-bd95-04cd6ed09c7c · outbound

This paper cites Fast and low-gpu-memory abdomen ct organ seg- mentation: the flare challenge.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Fast and low-gpu-memory abdomen ct organ seg- mentation: the flare challenge

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.849805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.684950Z digest=sha256:11cdd9d56b598c2fa89956be6519876d38b059bf040ecfac12beb244bcc845c2

Observation 965df361-9f31-4076-9f55-ef46e395f368 · outbound

This paper cites Segment anything in medical images.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Segment anything in medical images

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.840640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.688589Z digest=sha256:8181b5a7f77f3948fef6113dc72ca56daebe8fa20c53dabc0d82d7bdb617b45a

Observation 27fc4bf7-664d-4bed-87ea-d3b79571e94a · outbound

This paper cites Rose: a retinal oct-angiography vessel segmentation dataset and new model.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Rose: a retinal oct-angiography vessel segmentation dataset and new model

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.830425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.693460Z digest=sha256:d8d1c714ee8943e7b5d865dbddf4ea076c6c7eb280661d06814554101ea4190c

Observation 72331882-ce6d-43ac-a8f4-6c2eb1da9225 · outbound

This paper cites Macdonald, Zhe Zhu, Brandon Konkel, Maciej Mazurowski, Walter Wiggins, and Mustafa Bashir.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Macdonald, Zhe Zhu, Brandon Konkel, Maciej Mazurowski, Walter Wiggins, and Mustafa Bashir

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.819683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.697556Z digest=sha256:f1779be8ddf8cddf5b8562b963df7488c5f4b09d9a4e5195ba60b7fce26e906d

Observation b1f6fc1b-f508-4c7d-9339-f826866d6188 · outbound

This paper cites Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults

Reference 91

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.808794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.701300Z digest=sha256:ea000bc388bc3d1c5bfe22f63b93261e313700043dfd68a49b4ffb6849e640a5

Observation b92d7dcb-5da3-4806-bc68-1ff9f7048846 · outbound

This paper cites The parkinson progression marker initiative (ppmi).

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The parkinson progression marker initiative (ppmi)

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.797174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.704577Z digest=sha256:8d5e59d466157a4c9e977393cdbae0b89f305520cbd956071800c30a290e439f

Observation 9e8803f5-190a-4f4a-8fe8-b29929e45948 · outbound

This paper cites Meiburger.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Meiburger

Reference 93

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.786395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.707563Z digest=sha256:f160e8d113307e53be214d5a5b28fc075cef595d8b838fac13947460e16ef207

Observation 733d4a51-0344-4ca1-b2b6-5c2ddd7d94ee · outbound

This paper cites an unresolved cited work.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Unresolved cited work

Reference 94

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unresolved
raw_fallback, observed 2026-08-11T11:43:09.775784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.710499Z digest=sha256:3b3fea0082fb3597818f42ff55df34fbbd021fca784f6a42fea0a7aa8dd7d535

Observation 2f9d9d36-b19b-499f-af2f-0a6211228664 · outbound

This paper cites Quantification of uncertainties in biomed- ical image quantification 2021.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Quantification of uncertainties in biomed- ical image quantification 2021

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.764942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.713732Z digest=sha256:207e3592a3e830c8219918e606613947cbb7474fd0ca2407066fb7391b334d1e

Observation e54c87f7-d319-46b3-9bbe-2fc6a51bbdc7 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance The multimodal brain tumor image segmentation benchmark (brats)

Reference 96

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.753751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.717340Z digest=sha256:889add85c0a44ef0c884cf063c767ba2ba167539d65f3caa67106011e8b04c63

Observation 69254e7b-c9b1-420d-b9af-0187535916af · outbound

This paper cites Ultrasound nerve segmentation, 2016.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Ultrasound nerve segmentation, 2016

Reference 97

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.742114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.721641Z digest=sha256:32355429029ebcff399579340c8b03943985ec74284a8a21a1a47b002af46c0b

Observation 256c7f12-86a9-4fda-ad7a-69156f4f2999 · outbound

This paper cites Adap- tivesam: Towards efficient tuning of sam for surgical scene segmentation.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Adap- tivesam: Towards efficient tuning of sam for surgical scene segmentation

Reference 98

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raw_fallback, observed 2026-08-11T11:43:09.731973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.725115Z digest=sha256:2bdfebc8e5d1bcc48d031f142923a1bd48c87004a817829f1fb4576c03a3595e

Observation d8aa352f-2de2-4d8f-8ce0-b6525040b3b6 · outbound

This paper cites An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset

Reference 99

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raw_fallback, observed 2026-08-11T11:43:09.722587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.728927Z digest=sha256:88a50b290197fecaef0b5b8a375933c2f7e4eb3daf20df19797664184a060cf0

Observation d6c48d6a-ffa7-4eb5-840b-c29504e01567 · outbound

This paper cites An open access thy- roid ultrasound image database.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance An open access thy- roid ultrasound image database

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-11T11:43:09.712871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:43:08.732680Z digest=sha256:dbf1a1c6cf6a243fbd7773eea7320af2bdd114a083a27b3ff96cdf54a8b3a5de

Pith citing papers

No inbound Pith citation observations are available.