Paper Citation Record · LEDGER

nnFormer: Interleaved Transformer for Volumetric Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 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

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measured 0 of 0 reference resolution

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measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:14:49.340562Z

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 06b9cdf1-cb0d-4097-bfcd-43d9b3d7edfc · inbound

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network cites this paper.

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:33.317610Z

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Observation 2c325ddc-a2cd-4feb-b36a-928eee452d88 · inbound

TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT cites this paper.

TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.754014Z

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Observation df88aeb4-173d-4fd8-b98f-2ef8c83b0351 · inbound

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection cites this paper.

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T19:40:02.686781Z

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Observation a67bb496-2b69-43cf-a623-de5c7b1e51cc · inbound

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction cites this paper.

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T19:09:36.463311Z

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Observation 241248b9-d0e4-4d38-8223-566b2fa46e01 · inbound

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies cites this paper.

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:30.817307Z

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Observation ee1d8e44-756c-4688-b00b-51c1dd612ba6 · inbound

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation cites this paper.

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T18:20:58.704378Z

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Observation 7c538f3b-c3de-45a9-87ef-591923d0f3fe · inbound

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2 cites this paper.

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2 nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T11:21:45.828773Z

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Observation 7682fcdb-5edf-4048-8e5a-8b9982faa9c3 · inbound

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T19:33:21.567784Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T18:41:45.446992Z

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Observation 290ac423-8013-45ed-8825-581dc87b7d22 · inbound

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis cites this paper.

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 56

Resolution: malformed identifier; no resolver link, observed 2026-08-15T23:23:23.004265Z

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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

Resolution: unresolved; 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

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:09.530568Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.773312Z

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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

Resolution: verified exact; 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 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:38:49.139016Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T18:42:38.802485Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:56.965523Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:56.423515Z

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Observation 86cbb329-f2f5-4cfe-ac0d-1c8f39c252da · inbound

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD cites this paper.

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:05:54.530715Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:15:29.815569Z

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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

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

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; 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

Resolution: 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 2026-08-20T06:33:59.587034+00:00.

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

Resolution: verified exact; 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 2026-08-20T06:33:59.587034+00:00.

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

Resolution: verified exact; 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 2026-08-20T06:33:59.587034+00:00.

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

Resolution: verified exact; 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 2026-08-20T06:33:59.587034+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.264433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-07-13T05:10:19.996629Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T00:53:00.253672Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-03T15:00:02.206248Z

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Observation 2361dbb7-3905-46e4-9afb-3561aec23358 · inbound

A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery cites this paper.

A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T00:14:49.340562Z

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Unavailable: canonical work link unavailable.