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Paper Citation Record · LEDGER

nnFormer: Interleaved Transformer for Volumetric Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2109.03201.

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

pith.paper-citation-record.v1
2109.03201 v6

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:41:45.446992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.262722Z

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Outbound references

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Pith citing papers

Observation 20752a50-7f8b-4fe1-9954-a4a0a4f71003 · inbound

QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images cites this paper.

QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 1af8995c-a0bf-43a7-9339-5bfbf67e955d · inbound

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation cites this paper.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 31

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no resolver link, observed 2026-08-07T14:48:51.148477Z

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Observation 1d1158a5-e66c-4fbf-8b57-ffbb8cb06ae8 · inbound

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective cites this paper.

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 100

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Observation 1e69ed0d-20a6-48b9-ba71-925578805611 · inbound

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis cites this paper.

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 67

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Observation de662e6f-50e9-460f-91cf-0c3e9efdc19d · inbound

Improving Prostate Gland Segmentation Using Transformer based Architectures cites this paper.

Improving Prostate Gland Segmentation Using Transformer based Architectures nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 14

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arxiv_id, observed 2026-05-19T09:17:14.362153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 84bb5a81-38a0-4b5c-8e52-07e7dc2c84e5 · inbound

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy cites this paper.

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 60

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Observation 05867084-a8e8-4e1a-be99-a8efe167095e · inbound

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning cites this paper.

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 34

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Observation 4f856173-11dd-4d76-9b8c-39a279eeae79 · inbound

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation cites this paper.

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 33

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Observation d047a55d-257a-4aa7-8ff0-99bb9e3f3c04 · inbound

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation cites this paper.

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 41

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Observation bf6937d6-1565-4497-83f5-dee1b3c3a63c · inbound

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit cites this paper.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 27

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Observation 198f4063-8ea3-425e-866e-30e2d04df956 · inbound

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation cites this paper.

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 45

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no resolver link, observed 2026-08-05T04:51:41.048409Z

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Observation ac013080-0bf6-423e-acd2-f77b099e9401 · inbound

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation cites this paper.

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 16

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no resolver link, observed 2026-08-04T19:27:19.456004Z

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Observation f6e2e4e1-e71b-47ad-b1f3-8677d884207f · inbound

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation cites this paper.

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 70

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verified exact
arxiv_id, observed 2026-05-18T04:15:51.421499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b2528234-ff8e-4086-a59c-3de3825d6724 · inbound

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning cites this paper.

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 50

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arxiv_id, observed 2026-05-20T18:23:37.682200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9a8a0ca6-00cc-49d6-b14b-5291eccd1e60 · inbound

MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation cites this paper.

MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 44

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arxiv_id, observed 2026-05-20T18:28:52.984134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 36d38baf-4bcf-4bfa-9ca4-bd777d2e1482 · inbound

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models cites this paper.

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 9

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arxiv_id, observed 2026-07-02T12:46:56.588791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d022cbc8-441e-404f-be76-fdf478be26a1 · inbound

A Positron Range Correction with Texture Preservation Framework in PET Imaging cites this paper.

A Positron Range Correction with Texture Preservation Framework in PET Imaging nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 44

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arxiv_id, observed 2026-07-04T12:49:52.264433Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e9b7228a-6df0-47bd-868e-d336d0545d3e · inbound

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy cites this paper.

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 46

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Observation 364c4676-6b52-4409-8b14-0e50347512b0 · inbound

One-for-All Adaptive Radiotherapy Planning Agent: A Foundation Framework for Daily CBCT-guided Radiotherapy cites this paper.

One-for-All Adaptive Radiotherapy Planning Agent: A Foundation Framework for Daily CBCT-guided Radiotherapy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 47

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Unavailable: canonical work link unavailable.

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Observation bd3e0292-2353-4925-bbde-116350a90f0d · inbound

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 52

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Unavailable: canonical work link unavailable.

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