Paper Citation Record · LEDGER

SARFA: Segment Anything with Radiomic Feature Alignment

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.13323.

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

pith.paper-citation-record.v1
2607.13323 v1

Coverage vector

measured 43 of 43 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T05:35:25.790366Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 90e39389-c73d-45ba-8e1f-823f49bddb62 · outbound

This paper cites an unresolved cited work.

SARFA: Segment Anything with Radiomic Feature Alignment Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:20.600484Z

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Observation fb61fd35-4eda-4834-8367-c8f06aff55a2 · outbound

This paper cites Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound.NPJ Preci- sion Oncology, 8(1):41, 2024.

SARFA: Segment Anything with Radiomic Feature Alignment Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound.NPJ Preci- sion Oncology, 8(1):41, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:20.721618Z

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Observation 47825563-4bb3-4c5e-98d0-e47c01796024 · outbound

This paper cites PHiSeg: Capturing uncertainty in medical im- age segmentation.

SARFA: Segment Anything with Radiomic Feature Alignment PHiSeg: Capturing uncertainty in medical im- age segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:20.847803Z

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Observation 2de7421a-ea46-4ef6-b18e-7710b4c0de89 · outbound

This paper cites GazeRadar: A gaze and radiomics-guided disease localiza- tion framework.

SARFA: Segment Anything with Radiomic Feature Alignment GazeRadar: A gaze and radiomics-guided disease localiza- tion framework

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:20.994967Z

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Observation 048e4205-22ea-45cf-b668-2b4c8cb81cc4 · outbound

This paper cites A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.Physics in Medicine & Biology, 68(18):185025, 2023.

SARFA: Segment Anything with Radiomic Feature Alignment A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.Physics in Medicine & Biology, 68(18):185025, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.132537Z

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Observation 702d6022-0cf3-49e6-ab29-80f447e7e2a7 · outbound

This paper cites From global radiomics to parametric maps: A unified workflow fusing radiomics and deep learning for pdac detection.

SARFA: Segment Anything with Radiomic Feature Alignment From global radiomics to parametric maps: A unified workflow fusing radiomics and deep learning for pdac detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.275488Z

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Observation 3c55cde2-a06e-49a1-9b2b-7fc8fb77c49f · outbound

This paper cites Graph neural network model using radiomics for lung CT image segmentation.Scientific Reports, 15(1): 34148, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment Graph neural network model using radiomics for lung CT image segmentation.Scientific Reports, 15(1): 34148, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.375274Z

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Observation ae2ffd0b-943d-4eb6-ab55-e6dacd0b624a · outbound

This paper cites Overview of current biomedical image segmentation methods.

SARFA: Segment Anything with Radiomic Feature Alignment Overview of current biomedical image segmentation methods

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.459002Z

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Observation a337d94b-4bbe-487c-a018-7c2dfa37b7df · outbound

This paper cites Medical image seg- mentation: A comprehensive review of deep learning-based methods.Tomography, 11(5):52, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment Medical image seg- mentation: A comprehensive review of deep learning-based methods.Tomography, 11(5):52, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.565297Z

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Observation 94f315fb-44a1-430f-8e7c-15c5a1541329 · outbound

This paper cites Modeling multimodal aleatoric uncertainty in segmentation with mixture of stochastic experts.

SARFA: Segment Anything with Radiomic Feature Alignment Modeling multimodal aleatoric uncertainty in segmentation with mixture of stochastic experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.646084Z

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Observation 2da98f96-cf34-4203-b9f0-f25acd929b41 · outbound

This paper cites Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net.Biocybernetics and Biomed- ical Engineering, 40(4):1421–1435, 2020.

SARFA: Segment Anything with Radiomic Feature Alignment Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net.Biocybernetics and Biomed- ical Engineering, 40(4):1421–1435, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.743197Z

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Observation 4375cc0b-e95e-493f-b62b-ed40c2bef423 · outbound

This paper cites Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer mri.

SARFA: Segment Anything with Radiomic Feature Alignment Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer mri

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.847537Z

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Observation 93e518e9-1509-4579-8a35-31023bb76905 · outbound

This paper cites P2SAM: Probabilistically prompted SAMs are ef- ficient segmentator for ambiguous medical images.

SARFA: Segment Anything with Radiomic Feature Alignment P2SAM: Probabilistically prompted SAMs are ef- ficient segmentator for ambiguous medical images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:21.921865Z

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Observation f640cc1c-45cb-440d-86a7-00d7aa60ada5 · outbound

This paper cites Calibrated adversarial refinement for stochastic semantic segmentation.

SARFA: Segment Anything with Radiomic Feature Alignment Calibrated adversarial refinement for stochastic semantic segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.046833Z

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Observation 94f47dd2-bb96-4937-91da-ea77b6593ac7 · outbound

This paper cites Segment any- thing.

SARFA: Segment Anything with Radiomic Feature Alignment Segment any- thing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.182717Z

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Observation a6740397-57d6-4330-9ae9-f8b5d3982ed9 · outbound

This paper cites A probabilistic u-net for segmentation of ambiguous images.

SARFA: Segment Anything with Radiomic Feature Alignment A probabilistic u-net for segmentation of ambiguous images

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.301257Z

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Observation 0e6c99ff-8e3a-4b53-b721-35db3b57c495 · outbound

This paper cites A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.

SARFA: Segment Anything with Radiomic Feature Alignment A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.416315Z

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Observation 910bf820-7f03-4e1f-aabb-6a9a8f35c498 · outbound

This paper cites En- hancing SAM with efficient prompting and preference opti- mization for semi-supervised medical image segmentation.

SARFA: Segment Anything with Radiomic Feature Alignment En- hancing SAM with efficient prompting and preference opti- mization for semi-supervised medical image segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.528555Z

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Observation a6472a79-1071-4d1c-8f5e-82a6cbcf2345 · outbound

This paper cites Fr\’echet Radiomic 9 Distance (FRD): A versatile metric for comparing medical imaging datasets.arXiv preprint arXiv:2412.01496, 2024.

SARFA: Segment Anything with Radiomic Feature Alignment Fr\’echet Radiomic 9 Distance (FRD): A versatile metric for comparing medical imaging datasets.arXiv preprint arXiv:2412.01496, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.623147Z

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Observation a8c21eb5-952a-444b-8426-8aff44f8b258 · outbound

This paper cites Deep-radiomic fusion for early detection of pan- creatic ductal adenocarcinoma.Applied Sciences, 15(24): 13024, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment Deep-radiomic fusion for early detection of pan- creatic ductal adenocarcinoma.Applied Sciences, 15(24): 13024, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.733976Z

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Observation 464a1c27-46cd-4ffa-bbaa-0437dcf7ab02 · outbound

This paper cites Generative adversar- ial networks with radiomics supervision for lung lesion gen- eration.IEEE Transactions on Biomedical Engineering, 72 (1):286–296, 2024.

SARFA: Segment Anything with Radiomic Feature Alignment Generative adversar- ial networks with radiomics supervision for lung lesion gen- eration.IEEE Transactions on Biomedical Engineering, 72 (1):286–296, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:22.884471Z

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Observation 587efcc7-997b-427f-8f14-ee32d6501a12 · outbound

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

SARFA: Segment Anything with Radiomic Feature Alignment Segment anything in medical images.Nature Communications, 15(1):654, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:23.038721Z

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Observation a0561718-f57f-48e3-843b-0f20599a7471 · outbound

This paper cites Introduction to radiomics.Journal of Nuclear Medicine, 61 (4):488–495, 2020.

SARFA: Segment Anything with Radiomic Feature Alignment Introduction to radiomics.Journal of Nuclear Medicine, 61 (4):488–495, 2020

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:23.216390Z

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Observation 0fc077bb-1138-4b3d-ab62-d7337ecde2dd · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS).IEEE Transactions on Medical Imag- ing, 34(10):1993–2024, 2014.

SARFA: Segment Anything with Radiomic Feature Alignment The multimodal brain tumor image segmentation benchmark (BRATS).IEEE Transactions on Medical Imag- ing, 34(10):1993–2024, 2014

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:23.360410Z

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Observation 12b80f86-b535-4a05-b7d6-3d59b806dfff · outbound

This paper cites Stochastic seg- mentation networks: Modelling spatially correlated aleatoric uncertainty.Advances in Neural Information Processing Sys- tems, 33:12756–12767, 2020.

SARFA: Segment Anything with Radiomic Feature Alignment Stochastic seg- mentation networks: Modelling spatially correlated aleatoric uncertainty.Advances in Neural Information Processing Sys- tems, 33:12756–12767, 2020

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:23.625818Z

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Observation 7918f8d1-bf7c-4d36-be44-06a823f5b9d1 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

SARFA: Segment Anything with Radiomic Feature Alignment Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:23.881971Z

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Observation d8a16a54-7df0-4171-8de3-1710739e8733 · outbound

This paper cites Ambiguous medical image segmentation using diffusion models.

SARFA: Segment Anything with Radiomic Feature Alignment Ambiguous medical image segmentation using diffusion models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.089067Z

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Observation 8123d8d4-80c5-4208-8edc-1aec14f49c3a · outbound

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

SARFA: Segment Anything with Radiomic Feature Alignment AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.214313Z

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Observation cc5dbfe2-02ce-46ba-a3e0-4a7914dc0a7f · outbound

This paper cites Artificial intel- ligence aided diagnosis of pulmonary nodules segmentation and feature extraction.Clinical Radiology, 78(6):437–443,.

SARFA: Segment Anything with Radiomic Feature Alignment Artificial intel- ligence aided diagnosis of pulmonary nodules segmentation and feature extraction.Clinical Radiology, 78(6):437–443,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.268492Z

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Observation 2d8a4f7e-cf2f-421f-b20d-b17c9c14a306 · outbound

This paper cites Computational radiomics system to de- code the radiographic phenotype.Cancer Research, 77(21): e104–e107, 2017.

SARFA: Segment Anything with Radiomic Feature Alignment Computational radiomics system to de- code the radiographic phenotype.Cancer Research, 77(21): e104–e107, 2017

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.337910Z

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Observation b2f40a30-b896-4758-80e0-b0bfd6d2787f · outbound

This paper cites Sam2Rad: A seg- mentation model for medical images with learnable prompts.

SARFA: Segment Anything with Radiomic Feature Alignment Sam2Rad: A seg- mentation model for medical images with learnable prompts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.462050Z

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Observation 4515c09f-683c-4355-a9d8-edfe4ab1d614 · outbound

This paper cites A probabilistic Segment Anything Model for ambiguity-aware medical image seg- mentation.

SARFA: Segment Anything with Radiomic Feature Alignment A probabilistic Segment Anything Model for ambiguity-aware medical image seg- mentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.545257Z

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Observation cc76d932-e7cb-4972-85e0-a7ba31f7c1f1 · outbound

This paper cites Annotation- efficient task guidance for medical Segment Anything.

SARFA: Segment Anything with Radiomic Feature Alignment Annotation- efficient task guidance for medical Segment Anything

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.665196Z

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Observation 678b057c-e255-480e-b067-68f5c8ac1369 · outbound

This paper cites Autoadap- tive medical Segment Anything Model.arXiv preprint arXiv:2507.01828, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment Autoadap- tive medical Segment Anything Model.arXiv preprint arXiv:2507.01828, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.785784Z

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Observation 68641c53-a757-4c3a-9059-4db416e0b782 · outbound

This paper cites Uncertainty as a founda- tion for trustworthy medical imaging AI: A comprehensive review.Authorea Preprints, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment Uncertainty as a founda- tion for trustworthy medical imaging AI: A comprehensive review.Authorea Preprints, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.883513Z

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Observation ec9a7ca0-15e6-4ad7-962f-0d79b332b33c · outbound

This paper cites MaskSAM: Auto-prompt SAM with mask clas- sification for volumetric medical image segmentation.

SARFA: Segment Anything with Radiomic Feature Alignment MaskSAM: Auto-prompt SAM with mask clas- sification for volumetric medical image segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:24.951990Z

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Observation 080e91d0-0a47-4bd5-a5b0-e35d5fefb78f · outbound

This paper cites Integrating radiomic texture analysis and deep learning for automated myocardial infarc- tion detection in cine-MRI.Scientific Reports, 15(1):24365,.

SARFA: Segment Anything with Radiomic Feature Alignment Integrating radiomic texture analysis and deep learning for automated myocardial infarc- tion detection in cine-MRI.Scientific Reports, 15(1):24365,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.034860Z

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Observation a49bc939-0008-4175-af78-6d0c743d2467 · outbound

This paper cites Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation.Physics in Medicine & Biol- ogy, 67(2):025004, 2022.

SARFA: Segment Anything with Radiomic Feature Alignment Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation.Physics in Medicine & Biol- ogy, 67(2):025004, 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.112349Z

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Observation d0c404ec-da5a-4c3e-b353-6154e3c31f86 · outbound

This paper cites Glog-csunet: Enhanc- ing vision transformers with adaptable radiomic features for medical image segmentation.

SARFA: Segment Anything with Radiomic Feature Alignment Glog-csunet: Enhanc- ing vision transformers with adaptable radiomic features for medical image segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.274556Z

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Observation 0fcb414f-12ab-478f-94eb-bb7be1879b02 · outbound

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

SARFA: Segment Anything with Radiomic Feature Alignment Customized Segment Anything Model for Medical Image Segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.392430Z

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Observation 0894f6a4-ec6c-40bc-b68c-236c05ed520b · outbound

This paper cites PixelSeg: Pixel-by-pixel stochastic semantic segmentation for ambiguous medical images.

SARFA: Segment Anything with Radiomic Feature Alignment PixelSeg: Pixel-by-pixel stochastic semantic segmentation for ambiguous medical images

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.510394Z

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Observation 25242f40-208c-4e88-a76d-651f33c984df · outbound

This paper cites SAM-SP: Self-Prompting Makes SAM Great Again.

SARFA: Segment Anything with Radiomic Feature Alignment SAM-SP: Self-Prompting Makes SAM Great Again

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.620703Z

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Observation 571627b1-3599-4c96-b60f-bb76044f3b97 · outbound

This paper cites UDNDSNet: A unified deterministic and non-deterministic segmentation network for multi-scene medical image analy- sis.Knowledge-Based Systems, page 114641, 2025.

SARFA: Segment Anything with Radiomic Feature Alignment UDNDSNet: A unified deterministic and non-deterministic segmentation network for multi-scene medical image analy- sis.Knowledge-Based Systems, page 114641, 2025

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T05:35:25.790366Z

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Pith citing papers

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