Paper Citation Record · LEDGER

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.00511.

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

pith.paper-citation-record.v1
2507.00511 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:24.841954Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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.

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

32 of 32 outbound references displayed

verified exact1
verified fuzzy24
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87c434cf-88ac-4943-a8bf-63e899b2717e · outbound

This paper cites Deep learning applications in medical image analysis,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Deep learning applications in medical image analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:29.968161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e18a1e77-c2d0-422c-9031-7ba1064ab1c7 · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmenta- tion,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ U-net: Con- volutional networks for biomedical image segmenta- tion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:29.737757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7f2c62a-9ce6-47f1-bf44-0a844b95b732 · outbound

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

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:18:25.058320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b34a4ffa-0620-4a5c-9da2-0f5f0386e3ac · outbound

This paper cites Sonka, V.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Sonka, V

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:29.438763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00617f31-3ad3-41d6-b6a8-d81fd71fe96c · outbound

This paper cites State-of- the-art and challenges in pancreatic ct segmentation: A systematic review of u-net and its variants,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ State-of- the-art and challenges in pancreatic ct segmentation: A systematic review of u-net and its variants,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:29.252333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f06f3d2-2971-4b53-ab58-570d3dd3741b · outbound

This paper cites Learning and transferring mid-level image representations using convolutional neural networks,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Learning and transferring mid-level image representations using convolutional neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:29.083047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 852ef789-a493-4bfc-88d2-4fe3cceae5cd · outbound

This paper cites Physics-Inspired Generative Models in Medical Imaging: A Review.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Physics-Inspired Generative Models in Medical Imaging: A Review

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:21.779837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e7e0a9-7d6a-4ce9-a611-c73f5285ebc7 · outbound

This paper cites A survey on visual mamba,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ A survey on visual mamba,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.919773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 533078e8-1767-41de-ac4d-5fbffe106b76 · outbound

This paper cites Aggn: Attention-based glioma grading network 10 with multi-scale feature extraction and multi-modal infor- mation fusion,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Aggn: Attention-based glioma grading network 10 with multi-scale feature extraction and multi-modal infor- mation fusion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.786956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f70a41a-c980-49d9-a5a5-59f7343662b1 · outbound

This paper cites Trans- formers in medical image segmentation: A review,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Trans- formers in medical image segmentation: A review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.652488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea0f7f11-3ab5-4981-beb7-587d746f8ed1 · outbound

This paper cites Image segmentation us- ing text and image prompts,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Image segmentation us- ing text and image prompts,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.486920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc424c7d-5b0d-4ab2-8223-15e1cdc2bf5c · outbound

This paper cites VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:22.185686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc631de0-ce29-4375-bb60-156739f2c224 · outbound

This paper cites Ms-unet: A multi-scale unet with feature recalibration approach for automatic liver and tumor segmentation in ct images,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Ms-unet: A multi-scale unet with feature recalibration approach for automatic liver and tumor segmentation in ct images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.378520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0321f890-b07f-4b1b-9d03-9db3b0c918ce · outbound

This paper cites After-unet: Axial fusion transformer unet for medical image segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ After-unet: Axial fusion transformer unet for medical image segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.214013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5975fac6-acd5-4bd0-b246-74485d44292c · outbound

This paper cites LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:22.831454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 271d0c0a-1882-41ab-99a0-9d457b905897 · outbound

This paper cites Efficient mamba u-net for robust medical image segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Efficient mamba u-net for robust medical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:28.041571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09f3404b-2774-44ab-9234-aa07c2c8018a · outbound

This paper cites Adaptive mamba u-net for multi-modal medical image segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Adaptive mamba u-net for multi-modal medical image segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:27.840782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04145272-f8e5-4998-9c4e-74a105d55102 · outbound

This paper cites Deep learning to replace, improve, or aid cfd analysis in built environment appli- cations: A review,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Deep learning to replace, improve, or aid cfd analysis in built environment appli- cations: A review,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:27.542030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34860136-d212-404e-881e-f98ef1bddf1c · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:23.395110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f275b224-5c82-4d88-9334-026aaaa1f482 · outbound

This paper cites Understanding deep learning techniques for image segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Understanding deep learning techniques for image segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:27.148873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2312f0a4-c617-4fd5-a4eb-7c6462fd4fa1 · outbound

This paper cites Transformers in medical imaging: A survey,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Transformers in medical imaging: A survey,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:23.829782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be7c902-5535-4eff-bd76-a403a11b2600 · outbound

This paper cites Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:23.897977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e90437-972a-4a75-9caa-d1ba07252ee7 · outbound

This paper cites Rm-unet: Unet-like mamba with rotational ssm module for medical image segmen- tation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Rm-unet: Unet-like mamba with rotational ssm module for medical image segmen- tation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:26.995079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 022af89f-0145-45ac-bae3-273895a1a26f · outbound

This paper cites Efficient spineunetx for x-ray: A spine segmentation network based on convnext and unet,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Efficient spineunetx for x-ray: A spine segmentation network based on convnext and unet,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:27.320510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c0b8a86-353b-488b-a550-152cd1804d6f · outbound

This paper cites Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:26.867516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ccf7cade-6a6f-4f88-bea6-b4a9903e3e1e · outbound

This paper cites A cnn-transformer network combining cbam for change detection in high- resolution remote sensing images,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ A cnn-transformer network combining cbam for change detection in high- resolution remote sensing images,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:26.715718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77d4f4e4-ec17-4678-9a81-2c39d371756c · outbound

This paper cites Center-boundary dual attention for oriented object detection in remote sensing images,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Center-boundary dual attention for oriented object detection in remote sensing images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:26.442580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbd32f03-a7db-4aca-8b08-29c66aed308c · outbound

This paper cites an unresolved cited work.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:18:26.246082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15ade1b3-3d6e-460d-b6f9-2fb29312ca17 · outbound

This paper cites Jiang, N.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Jiang, N

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:25.970153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c78c12d4-5155-4219-8e25-5f825525dc25 · outbound

This paper cites Kvasir- seg: A segmented polyp dataset,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Kvasir- seg: A segmented polyp dataset,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:25.802536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f44374ae-a2a4-4abc-b9b3-d25bd7df0c7f · outbound

This paper cites Bus-set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Bus-set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:25.429979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dea5e83f-4657-4993-b7e0-59618b6f1578 · outbound

This paper cites Deep neural architectures for medical image semantic segmentation,.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Deep neural architectures for medical image semantic segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:25.199193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.