Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:59:13.130325Z
Paper Citation Record · LEDGER
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2508.01058.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact5
- verified fuzzy37
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 210566be-ee33-4f99-b66c-daebaf5ae67a · outbound
This paper cites Nolte, and Mauricio Reyes.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Nolte, and Mauricio Reyes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.752973Z
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.
Observation a7b70d99-47ba-49e2-bc80-6a84d94a1696 · outbound
This paper cites Remote-sensing image captioning based on multilayer aggregated transformer.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2022.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Remote-sensing image captioning based on multilayer aggregated transformer.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2022
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.740930Z
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.
Observation 6884658c-9130-4a13-91f4-119b9a08756b · outbound
This paper cites Transbts: Multimodal brain tumor segmentation using transformer.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Transbts: Multimodal brain tumor segmentation using transformer
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.728699Z
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.
Observation b6a12e63-ca83-4736-9566-221566fcc02e · outbound
This paper cites DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:59:14.033379Z
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.
Observation 745832d7-bccc-4e77-8ca6-9816360a836b · outbound
This paper cites an unresolved cited work.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T05:59:14.718674Z
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.
Observation 7d1a28bb-ead1-4615-aeb9-94211c54c440 · outbound
This paper cites Kawar et al.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Kawar et al
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.709281Z
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.
Observation d9a0218a-ba0d-4650-b1c7-d07a9a10bb4f · outbound
This paper cites Gao et al.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Gao et al
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.699256Z
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.
Observation cb4c8c83-ce52-40e2-ad41-181d7b086d45 · outbound
This paper cites an unresolved cited work.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T05:59:14.688503Z
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.
Observation 2ce583f6-f46b-48c6-974e-c2e99c429cce · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:09.211976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88871a1f-3e7f-4916-af01-35e6f86e509f · outbound
This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:09.335175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad9852d5-e610-4301-b205-5313f6bf8ac3 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation High-resolution image synthesis with latent diffusion models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.677934Z
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.
Observation bf8b9955-4276-450c-8432-cadf8da5b56e · outbound
This paper cites Text-to-remote-sensing-image generation with structured generative adversarial networks.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Text-to-remote-sensing-image generation with structured generative adversarial networks.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.667887Z
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.
Observation 2b4c7822-aa4e-4299-97db-06860c43fee8 · outbound
This paper cites Generative adversarial networks.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Generative adversarial networks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.658352Z
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.
Observation d98b08cb-3daa-4f3f-8324-7a873342f8e3 · outbound
This paper cites A two-stage cascade model with variational autoencoders and attention gates for mri brain tumor segmentation.Brain- lesion, pages 435–447, 2020.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation A two-stage cascade model with variational autoencoders and attention gates for mri brain tumor segmentation.Brain- lesion, pages 435–447, 2020
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.648381Z
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.
Observation c4e12136-37e5-4407-985f-e69e86439948 · outbound
This paper cites Recoseg: Residual guided cross-modal diffusion for efficient brain tumor segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Recoseg: Residual guided cross-modal diffusion for efficient brain tumor segmentation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.638243Z
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.
Observation b50ca524-e431-4c3b-a781-d7233c7c59e0 · outbound
This paper cites Corrdiff: Corrective diffusion model for accurate mri brain tumor segmentation.IEEE Journal of Biomedical and Health Informatics , 28(3):1587, 2024.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Corrdiff: Corrective diffusion model for accurate mri brain tumor segmentation.IEEE Journal of Biomedical and Health Informatics , 28(3):1587, 2024
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.626817Z
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.
Observation 43f74d4a-5fd1-4dfc-a960-a3569f59c322 · outbound
This paper cites Chowdhury.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Chowdhury
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.617414Z
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.
Observation eabf32af-dce2-4716-96cb-d7aad4ad9b62 · outbound
This paper cites Automated quantitative tumour response assessment of mri in neuro-oncology with artificial neural networks: A multicentre, retrospective study.The Lancet Oncology, 2019.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Automated quantitative tumour response assessment of mri in neuro-oncology with artificial neural networks: A multicentre, retrospective study.The Lancet Oncology, 2019
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.607908Z
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.
Observation 7ee33a63-dedb-46d0-b169-33ca6501c9c5 · outbound
This paper cites Patterson, and Huixiao Hong.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Patterson, and Huixiao Hong
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.597876Z
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.
Observation 5e834ff8-c3c2-4aba-91a2-3c101900447b · outbound
This paper cites Chandramma, T.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Chandramma, T
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.588330Z
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.
Observation e903deb3-2372-4f95-9018-d0b294090b13 · outbound
This paper cites Instance-aware diffusion model for gland segmentation in colon histology images.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Instance-aware diffusion model for gland segmentation in colon histology images
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.578553Z
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.
Observation 384716f2-f174-4c48-8abc-0f0132ef91bd · outbound
This paper cites Transbts: Multimodal brain tumor segmentation using transformer.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Transbts: Multimodal brain tumor segmentation using transformer
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.567844Z
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.
Observation 480a8bb8-9fd7-4a42-8c45-ba9401767710 · outbound
This paper cites Canet: Context aware network for brain glioma seg- mentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Canet: Context aware network for brain glioma seg- mentation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.557940Z
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.
Observation 64bea189-6132-41a0-becd-8a55e65988c5 · outbound
This paper cites UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:10.412496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cecd1cb9-5469-45c8-b586-effba4306f6f · outbound
This paper cites Lienkamp, Thomas Brox, and Olaf Ronneberger.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Lienkamp, Thomas Brox, and Olaf Ronneberger
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.545837Z
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.
Observation 8135515e-ff7c-4ae4-96f0-9fe90f896b88 · outbound
This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.536393Z
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.
Observation 9a86e834-366e-4252-84e1-98cccf848498 · outbound
This paper cites Attention U-Net: Learning Where to Look for the Pancreas.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Attention U-Net: Learning Where to Look for the Pancreas
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:10.673257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65e0f601-0d99-4ffc-97e1-b9e57f841aea · outbound
This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:10.734991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 376714b8-a862-4043-9145-1d5f9ee888a9 · outbound
This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:10.826722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd6d8d44-7cb6-4ff3-8304-b260bfff6752 · outbound
This paper cites Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian Wirkert, and Klaus H.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian Wirkert, and Klaus H
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.525137Z
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.
Observation 51c1f9fb-8352-4f8c-af14-858df0a540ab · outbound
This paper cites Extending nnu-net for brain tumor segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Extending nnu-net for brain tumor segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.512695Z
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.
Observation 77de711f-b476-40ae-9728-c50289d502e9 · outbound
This paper cites Optimized u-net for brain tumor segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Optimized u-net for brain tumor segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.501194Z
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.
Observation 2a202f92-1ce1-4c44-88c5-638a627761eb · outbound
This paper cites Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:59:13.956352Z
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.
Observation 08fddbcf-e230-41f1-95d7-c0bb7b45b301 · outbound
This paper cites MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:59:13.921432Z
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.
Observation 521c3925-8bac-4a2e-90cd-97802ecb6342 · outbound
This paper cites Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:59:13.636408Z
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.
Observation 7db336b0-0230-4981-9861-c06192fc8e72 · outbound
This paper cites Aswani and D.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Aswani and D
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.487898Z
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.
Observation 961a1ada-f25a-4859-8f22-c2abe928db2f · outbound
This paper cites Drm-vae: A dual residual multi variational auto-encoder for brain tumor segmentation with missing modalities.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Drm-vae: A dual residual multi variational auto-encoder for brain tumor segmentation with missing modalities
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.476937Z
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.
Observation b2749a98-b8dd-4596-9296-0f2a7ddf063d · outbound
This paper cites Generative adversarial networks.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Generative adversarial networks
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.465632Z
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.
Observation 31d5bb05-654f-4412-8d38-c656bbd3aa7a · outbound
This paper cites an unresolved cited work.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T05:59:14.455252Z
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.
Observation 29e10a61-03d4-4d72-b947-28049967218e · outbound
This paper cites Generative adversarial network in medical imaging: A review.Medical Image Analysis, 2019.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Generative adversarial network in medical imaging: A review.Medical Image Analysis, 2019
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.443627Z
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.
Observation c0ea0599-f16c-411f-80e4-ee4d38add9bf · outbound
This paper cites Vox2vox: 3d-gan for brain tumour segmentation.arXiv preprint, 2020.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Vox2vox: 3d-gan for brain tumour segmentation.arXiv preprint, 2020
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.431781Z
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.
Observation 6f356e56-63c4-49f4-9f7e-a07015a04d5c · outbound
This paper cites Promptable counterfac- tual diffusion model for unified brain tumor segmentation and generation with mris.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Promptable counterfac- tual diffusion model for unified brain tumor segmentation and generation with mris
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.421226Z
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.
Observation 2c8faa23-25e5-4edd-8d71-62ec311a8847 · outbound
This paper cites Pohl, and Yu Zhang.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Pohl, and Yu Zhang
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.411220Z
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.
Observation 37e499a9-4216-49bf-a0f2-f142082528b9 · outbound
This paper cites an unresolved cited work.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T05:59:14.400792Z
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.
Observation 2d03b558-0b6a-4cc9-8a45-d0ac7ddbdd2b · outbound
This paper cites Accelerating diffusion models via pre-segmentation diffusion sampling for medical image segmentation.arXiv preprint, 2022.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Accelerating diffusion models via pre-segmentation diffusion sampling for medical image segmentation.arXiv preprint, 2022
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.389369Z
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.
Observation 4fa4da92-ea0b-4bb4-9a54-d14a5e058a78 · outbound
This paper cites Med- segdiff: Medical image segmentation with diffusion probabilistic model.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Med- segdiff: Medical image segmentation with diffusion probabilistic model
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.380187Z
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.
Observation bb718b2f-0d9e-47f3-a9df-0a64a4d30b5d · outbound
This paper cites Medsegdiff-v2: Diffusion based medical image segmentation with transformer.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Medsegdiff-v2: Diffusion based medical image segmentation with transformer
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.370335Z
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.
Observation a7839a20-7863-4a09-9974-4683892ad3a1 · outbound
This paper cites Segdiff: Image segmentation with diffusion probabilistic models.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Segdiff: Image segmentation with diffusion probabilistic models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.359953Z
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.
Observation 1032519c-dca6-4a39-97e8-daea1531821b · outbound
This paper cites DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:59:13.354218Z
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.
Observation 25cda033-4eae-4479-893f-1f6588c3e44a · outbound
This paper cites LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:12.818621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfb03daa-9365-4ce1-8675-46b523763baa · outbound
This paper cites Zou and et al.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Zou and et al
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.347725Z
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.
Observation 4ff68ada-3027-42a7-b3fa-4330b43829e1 · outbound
This paper cites Optimization for medical image segmentation: Theory and practice when evaluating with dice score or jaccard index.IEEE Transactions on Medical Imaging , 39(11):3679–3690, 2020.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation Optimization for medical image segmentation: Theory and practice when evaluating with dice score or jaccard index.IEEE Transactions on Medical Imaging , 39(11):3679–3690, 2020
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.336174Z
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.
Observation 19d999d8-16c6-4287-9220-bd045e48d51d · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation U-net: Convolutional networks for biomedical image segmentation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:59:14.260269Z
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.
Pith citing papers
No inbound Pith citation observations are available.