ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation | Paper Citation Record

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers