Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization | Paper Citation Record

Observation ba16c8e7-f1f9-47ab-a66b-161530d6a8cd · outbound

This paper cites Diabetic Foot Ulcers: A Review,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diabetic Foot Ulcers: A Review,

Reference 1

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This paper cites Diabetic Foot Ulcers and Their Recurrence,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diabetic Foot Ulcers and Their Recurrence,

Reference 2

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Unresolved cited work

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This paper cites Diabetic Foot Ulcer Imaging: An Overview and Future Directions,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diabetic Foot Ulcer Imaging: An Overview and Future Directions,

Reference 4

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This paper cites Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques,

Reference 5

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This paper cites Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection,

Reference 6

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Observation e176dc71-2e70-4d64-883d-13d4c0ed12b8 · outbound

This paper cites Prevention and treatment of diabetic foot ulcers,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Prevention and treatment of diabetic foot ulcers,

Reference 7

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Observation e06fda84-b5ac-4e36-bc1b-beb7ce5b24ea · outbound

This paper cites AI Dermatochroma Analytica (AIDA): Smart Technology for Robust Skin Color Classification and Segmentation,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization AI Dermatochroma Analytica (AIDA): Smart Technology for Robust Skin Color Classification and Segmentation,

Reference 8

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Observation 5d10410e-a8f5-448b-8b4a-b08ffc1c133e · outbound

This paper cites Diabetic foot disease: From the evaluation of the ‘foot at risk’ to the novel diabetic ulcer treatment modalities,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diabetic foot disease: From the evaluation of the ‘foot at risk’ to the novel diabetic ulcer treatment modalities,

Reference 9

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This paper cites Current Challenges and Opportunities in the Prevention and Management of Diabetic Foot Ulcers,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Current Challenges and Opportunities in the Prevention and Management of Diabetic Foot Ulcers,

Reference 10

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Observation 122bba0c-f654-426e-86d4-0c7b24f657a5 · outbound

This paper cites WHO IS AT RISK FOR DIABETIC FOOT ULCERATION?,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization WHO IS AT RISK FOR DIABETIC FOOT ULCERATION?,

Reference 11

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This paper cites Quantifying dermal microcirculatory changes of neuropathic and neuroischemic diabetic foot ulcers using spatial frequency domain imaging: a shade of things to come?,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Quantifying dermal microcirculatory changes of neuropathic and neuroischemic diabetic foot ulcers using spatial frequency domain imaging: a shade of things to come?,

Reference 12

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Observation 95b29951-5d61-4a24-8444-c802e05f342a · outbound

This paper cites Deep learning in diabetic foot ulcers detection: A comprehensive evaluation,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Deep learning in diabetic foot ulcers detection: A comprehensive evaluation,

Reference 13

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This paper cites The impact of machine learning on the prediction of diabetic foot ulcers – A systematic review,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization The impact of machine learning on the prediction of diabetic foot ulcers – A systematic review,

Reference 14

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This paper cites Automated Detection of Infection in Diabetic Foot Ulcer Using Pre-trained Fast Convolutional Neural Network with U++net,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Automated Detection of Infection in Diabetic Foot Ulcer Using Pre-trained Fast Convolutional Neural Network with U++net,

Reference 15

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Observation 2d4d8854-a598-46eb-bb85-b8fb096ba8f8 · outbound

This paper cites Can deep learning wound segmentation algorithms developed for a dataset be effective for another dataset? A specific focus on diabetic foot ulcers,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Can deep learning wound segmentation algorithms developed for a dataset be effective for another dataset? A specific focus on diabetic foot ulcers,

Reference 16

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This paper cites State of the Art on Diffusion Models for Visual Computing,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization State of the Art on Diffusion Models for Visual Computing,

Reference 17

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This paper cites A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges,

Reference 18

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This paper cites Recent Advances in Variational Autoencoders with Representation Learning for Biomedical Informatics: A Survey,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Recent Advances in Variational Autoencoders with Representation Learning for Biomedical Informatics: A Survey,

Reference 19

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This paper cites MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Reference 20

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This paper cites Diffusion model-based text-guided enhancement network for medical image segmentation,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diffusion model-based text-guided enhancement network for medical image segmentation,

Reference 21

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Observation 83b5a6c4-11f4-4579-9c53-7d958a072a25 · outbound

This paper cites Semantic segmentation of diabetic foot ulcer images: Dealing with small dataset in dl approaches,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Semantic segmentation of diabetic foot ulcer images: Dealing with small dataset in dl approaches,

Reference 22

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This paper cites A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning,

Reference 23

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This paper cites Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation

Reference 24

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This paper cites A framework of wound segmentation based on deep convolutional networks,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization A framework of wound segmentation based on deep convolutional networks,

Reference 25

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This paper cites Fully automatic wound segmentation with deep convolutional neural networks,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Fully automatic wound segmentation with deep convolutional neural networks,

Reference 26

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This paper cites Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks,

Reference 27

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This paper cites Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation,

Reference 28

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This paper cites OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss,

Reference 29

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This paper cites Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models,

Reference 30

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This paper cites Automated Tissue Classification Framework for Reproducible Chronic Wound Assessment,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Automated Tissue Classification Framework for Reproducible Chronic Wound Assessment,

Reference 31

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This paper cites Wound tissue segmentation by computerised image analysis of clinical pressure injury photographs: a pilot study,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Wound tissue segmentation by computerised image analysis of clinical pressure injury photographs: a pilot study,

Reference 32

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This paper cites Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study,

Reference 33

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This paper cites Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network,

Reference 34

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This paper cites Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study

Reference 35

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Integrated image and location analysis for wound classification: a deep learning approach,

Reference 36

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This paper cites Have I been Trained ?.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Have I been Trained ?

Reference 37

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization High-Resolution Image Synthesis With Latent Diffusion Models,

Reference 38

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This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding,

Reference 39

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This paper cites Denoising Diffusion Probabilistic Models,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Denoising Diffusion Probabilistic Models,

Reference 40

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This paper cites DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models,

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion,

Reference 42

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This paper cites FUSegNet: A deep convolutional neural network for foot ulcer segmentation,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization FUSegNet: A deep convolutional neural network for foot ulcer segmentation,

Reference 43

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This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,

Reference 44

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation,

Reference 45

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This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,

Reference 46

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Observation 3e0ad762-85fb-4679-8453-3b4d94e78ccd · outbound

This paper cites Development of a Smartphone-Based Optical Device to Measure Hemoglobin Concentration Changes for Remote Monitoring of Wounds,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Development of a Smartphone-Based Optical Device to Measure Hemoglobin Concentration Changes for Remote Monitoring of Wounds,

Reference 47

Resolution: verified exact; doi, observed 2026-08-16T10:40:50.399482Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dea4e44a-de46-496a-9f77-161f30e9e715 · outbound

This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:50.351806Z

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Unavailable: canonical work link unavailable.

Observation 5068fb7b-42ae-40c1-8cdc-6d53dbfb75fe · outbound

This paper cites Development and Validation of a Smartphone-Based Near-Infrared Optical Imaging Device to Measure Physiological Changes In-Vivo,.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Development and Validation of a Smartphone-Based Near-Infrared Optical Imaging Device to Measure Physiological Changes In-Vivo,

Reference 50

Resolution: verified exact; doi, observed 2026-08-16T10:40:50.388671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32f36dd3-e0ea-4752-8df9-3489cb9f4267 · outbound

This paper cites Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:50.275541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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