Paper Citation Record · LEDGER

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention

As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2507.02488.

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

pith.paper-citation-record.v1
2507.02488 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:03.482002Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:45:36.546223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:11:03.132823Z

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed241459-bb4b-4522-9db3-2e48d6a55381 · outbound

This paper cites Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.868752Z

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Observation 7768d1c9-8953-42b6-90ce-1fdbdf639804 · outbound

This paper cites Improved prediction model of protein and peptide toxicity by integrating channel attention into a convolutional neural network and gated recurrent units,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Improved prediction model of protein and peptide toxicity by integrating channel attention into a convolutional neural network and gated recurrent units,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.753171Z

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Observation 1e5b4a61-7c67-42ab-bc27-a4bbbedf7eca · outbound

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

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Transformers in medical imaging: A survey,

Reference 3

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Observation 4fea8696-2a14-4f0e-be5c-fd901cf374fb · outbound

This paper cites Advances in medical image analysis with vision transformers: A comprehensive review,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Advances in medical image analysis with vision transformers: A comprehensive review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.611268Z

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Observation bab5ee4f-8b51-4746-a407-9698e93df481 · outbound

This paper cites Is it Time to Replace CNNs with Transformers for Medical Images?.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Is it Time to Replace CNNs with Transformers for Medical Images?

Reference 5

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Source-reported events for the cited work

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Observation 503d779b-ccec-4f81-9653-7598ff1db1ee · outbound

This paper cites Lesion-aware transformers for diabetic retinopathy grading,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Lesion-aware transformers for diabetic retinopathy grading,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.467198Z

Source-reported events for the cited work

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Observation 920a3166-b613-43af-b989-3cfa197d2fec · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Transmil: Transformer based correlated multiple instance learning for whole slide image classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.327007Z

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Observation afd2ac4b-ca6e-46dc-b2c9-18a70010c2f2 · outbound

This paper cites A graph-transformer for whole slide image classification,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention A graph-transformer for whole slide image classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.185460Z

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Observation 325c5129-f318-4035-a6e7-7b3b274cb2b3 · outbound

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

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 9

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Source-reported events for the cited work

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Observation 96a0c115-90af-4755-a91b-c797708aa080 · outbound

This paper cites Transfuse: Fusing transformers and cnns for medical image segmentation.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Transfuse: Fusing transformers and cnns for medical image segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:08.023132Z

Source-reported events for the cited work

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Observation 2f59280e-3b1d-476b-a11d-31df71a23823 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 11

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Observation e86ff700-092a-4464-a4d9-93dc6ab1c261 · outbound

This paper cites Pubic symphysis-fetal head segmentation network using biformer attention mechanism and multipath dilated convolution,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Pubic symphysis-fetal head segmentation network using biformer attention mechanism and multipath dilated convolution,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.876056Z

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Observation a35a9d08-00e8-43dd-9d07-6abc86cf2ea1 · outbound

This paper cites BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 13

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Observation 5a4b0492-d144-4f5d-aaac-19ddc797ab1f · outbound

This paper cites Spine-transformers: Vertebra detection and local- ization in arbitrary field-of-view spine ct with transformers.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Spine-transformers: Vertebra detection and local- ization in arbitrary field-of-view spine ct with transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.754137Z

Source-reported events for the cited work

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Observation 70a358e8-7b93-4681-ab38-a4169405e72a · outbound

This paper cites Multi-view vertebra localization and identification from ct images,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Multi-view vertebra localization and identification from ct images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.628952Z

Source-reported events for the cited work

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Observation 124db99e-f85f-4649-bafc-6aabe7b11d44 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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Observation f5bf91df-aed2-4a7d-8ac8-e5a42a5c6580 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:00.689607Z

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Observation c720b681-4a61-415d-8421-52d4da0eb221 · outbound

This paper cites Biformer: Vision transformer with bi-level routing attention,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Biformer: Vision transformer with bi-level routing attention,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.491042Z

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Observation d8366212-2e18-463e-b2d0-59a0e1a9e45d · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 19

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Observation 9a64cf3a-d3ed-4fb6-bfe2-4fb8a00af31e · outbound

This paper cites Medical transformer: Gated axial-attention for medical image segmentation.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Medical transformer: Gated axial-attention for medical image segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.363580Z

Source-reported events for the cited work

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Observation 5ca5824a-0968-4dc4-b6a2-d6aa97f525fc · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 21

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Observation c383f387-6eda-4c68-bb45-d2529daf5f92 · outbound

This paper cites Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

Reference 22

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Observation 919ff204-36c3-4931-93d6-5d9347460cc4 · outbound

This paper cites Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:07.179695Z

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Observation fde28095-c9b1-41fd-8278-17c3b84bbcbe · outbound

This paper cites Self-ensembling vision transformer (sevit) for robust medical image classification.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Self-ensembling vision transformer (sevit) for robust medical image classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.997796Z

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Observation 515a8fff-9909-487a-b7d1-95b4c50f29ab · outbound

This paper cites Boundary- aware transformers for skin lesion segmentation.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Boundary- aware transformers for skin lesion segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.839518Z

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Observation 321b640a-ba17-4652-b689-5f1d5b92fe53 · outbound

This paper cites Transformer network for significant stenosis detection in ccta of coronary arteries,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Transformer network for significant stenosis detection in ccta of coronary arteries,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.745443Z

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This paper cites Ida-net: Inheritable deformable attention network of structural mri for alzheimer’s disease diagnosis,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Ida-net: Inheritable deformable attention network of structural mri for alzheimer’s disease diagnosis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.639496Z

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Observation 9463ddf1-053e-49bf-9c97-cc57cb9bbc80 · outbound

This paper cites Vision transformer with deformable attention,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Vision transformer with deformable attention,

Reference 28

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Observation f7b075ea-fa0f-4ad1-9dc4-2b5bcb1d4517 · outbound

This paper cites Hifuse: Hierarchical multi-scale feature fusion network for medical image classification,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Hifuse: Hierarchical multi-scale feature fusion network for medical image classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.444842Z

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Observation e2eeda3b-3f88-468d-97fc-62b3a8ba55de · outbound

This paper cites Pocformer: A lightweight transformer architecture for detection of covid-19 using point of care ultrasound,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Pocformer: A lightweight transformer architecture for detection of covid-19 using point of care ultrasound,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:06.144619Z

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Observation adbd8c90-95d0-4f77-9339-5ddfc4c12975 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Linformer: Self-Attention with Linear Complexity

Reference 31

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Observation 59b4b769-1039-483a-a035-3052b8696abe · outbound

This paper cites Kernel attention transformer for histopathology whole slide image analysis and assistant cancer diagnosis,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Kernel attention transformer for histopathology whole slide image analysis and assistant cancer diagnosis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.961900Z

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Observation 8a69cd3b-4e9d-4e25-8424-032e6c1c79ba · outbound

This paper cites Mg-trans: Multi-scale graph transformer with information bottleneck for whole slide image classification,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Mg-trans: Multi-scale graph transformer with information bottleneck for whole slide image classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.831201Z

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Observation a8bb732a-171d-4422-888a-aa2715203ed2 · outbound

This paper cites Msaanet: Multi-scale axial attention network for medical image segmentation,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Msaanet: Multi-scale axial attention network for medical image segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.703438Z

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Observation 5d73d453-b9fc-4aab-8310-37f0541e3fef · outbound

This paper cites Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.506768Z

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Observation 9200b884-5662-4f68-8249-900b59d2f628 · outbound

This paper cites Maxformer: Enhanced transformer for medical image segmentation with multi- attention and multi-scale features fusion,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Maxformer: Enhanced transformer for medical image segmentation with multi- attention and multi-scale features fusion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.369912Z

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Observation b3aefd4b-b2d1-4c30-9edd-71c331f47648 · outbound

This paper cites Missformer: An effective transformer for 2d medical image segmentation,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Missformer: An effective transformer for 2d medical image segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:05.218429Z

Source-reported events for the cited work

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Observation bfba0571-7fbf-4a2d-9da2-a2beff41b653 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:02.305495Z

Source-reported events for the cited work

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Observation 145412ff-9471-4e8d-a309-f50c366b9f4f · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:02.393990Z

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Observation f981aa95-e76d-47e0-b670-91a5e1af884e · outbound

This paper cites A real-world dataset and benchmark for foundation model adaptation in medical image classification,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention A real-world dataset and benchmark for foundation model adaptation in medical image classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.989417Z

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Observation 29063e16-6b58-42a3-a1d2-d6275f7f56db · outbound

This paper cites Brain tumor mri dataset,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Brain tumor mri dataset,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:02.578795Z

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Observation 2902eea3-74a0-4def-9ed5-05f02ffbca31 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,

Reference 42

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Observation f56f6343-6414-472d-9eb0-6f1ef663750d · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault-workshop and challenge (2015),.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Miccai multi-atlas labeling beyond the cranial vault-workshop and challenge (2015),

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.789959Z

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Observation 9bd89ee0-ce6e-4b45-8760-ddd0d236b9de · outbound

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

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Kvasir-seg: A segmented polyp dataset,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.629016Z

Source-reported events for the cited work

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Observation fddff2e2-d30c-40be-a3d8-6273e1f80933 · outbound

This paper cites Brain tumor detection dataset,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Brain tumor detection dataset,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.456424Z

Source-reported events for the cited work

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Observation 607c3e0d-9859-4d13-861d-0476ba0da976 · outbound

This paper cites Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:36:03.753395Z

Source-reported events for the cited work

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Observation b63d7afd-983d-47e6-85e0-4391ab4fd8b9 · outbound

This paper cites Medical image segmentation via cascaded attention decoding,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Medical image segmentation via cascaded attention decoding,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.226901Z

Source-reported events for the cited work

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Observation 02ef43e2-947e-4e77-b805-609954f6aac9 · outbound

This paper cites Focal loss for dense object detection,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Focal loss for dense object detection,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:03.208759Z

Source-reported events for the cited work

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Observation 347fa4a2-e777-404f-ab0c-936e244b9e97 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:04.055442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7e49aa0-384e-4288-88b9-c435d9ee48a0 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:03.380923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756f9c74-f8c4-437d-a3df-6fbd3cd79e74 · outbound

This paper cites Unified perceptual parsing for scene understanding,.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention Unified perceptual parsing for scene understanding,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:03.482002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2d4ea642-226e-494d-8238-90e5f548f606 · inbound

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification cites this paper.

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:11:03.137458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.