Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation | Paper Citation Record

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This paper cites Artificial intelligence applications in histopathology,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Artificial intelligence applications in histopathology,

Reference 1

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This paper cites Artificial intelligence in histopathology: enhancing cancer research and clinical oncology,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Artificial intelligence in histopathology: enhancing cancer research and clinical oncology,

Reference 2

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This paper cites Deep learning for colon cancer histopathological images analysis,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Deep learning for colon cancer histopathological images analysis,

Reference 3

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This paper cites A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,

Reference 4

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This paper cites Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology,

Reference 5

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This paper cites Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification,

Reference 6

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This paper cites Machine learning in computational histopathology: Challenges and opportunities,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Machine learning in computational histopathology: Challenges and opportunities,

Reference 7

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This paper cites Annotation practices in computational pathology: a European Society of Digital and Integrative Pathology (ESDIP) survey study,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Annotation practices in computational pathology: a European Society of Digital and Integrative Pathology (ESDIP) survey study,

Reference 8

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Observation 93eaf939-7ec3-44e3-b907-b66f11de2124 · outbound

This paper cites Rare histological prostate cancer subtypes: Cancer-specific and other- cause mortality,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Rare histological prostate cancer subtypes: Cancer-specific and other- cause mortality,

Reference 9

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Observation 7559b6ee-bfe0-4653-b4f0-48675ae9efd7 · outbound

This paper cites Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?,

Reference 10

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This paper cites A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions,

Reference 11

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This paper cites Image data augmentation approaches: A comprehensive survey and future directions,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Image data augmentation approaches: A comprehensive survey and future directions,

Reference 12

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This paper cites Histology image analysis of 13 healthy tissues reveals molecular - histological correlations,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Histology image analysis of 13 healthy tissues reveals molecular - histological correlations,

Reference 13

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Observation a2ebe357-0077-4894-a314-c986c7aabba1 · outbound

This paper cites Robust histopathology image analysis: To label or to synthesize?,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Robust histopathology image analysis: To label or to synthesize?,

Reference 14

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Observation 008ed086-c021-4de3-be3a-af75fde88a32 · outbound

This paper cites Generative adversarial networks in digital histopathology: current applications, limitations, ethical considerations, and future directions,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative adversarial networks in digital histopathology: current applications, limitations, ethical considerations, and future directions,

Reference 15

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This paper cites NAS -SGAN: A semi -supervised generative adversarial network model for atypia scoring of breast cancer histopathological images,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation NAS -SGAN: A semi -supervised generative adversarial network model for atypia scoring of breast cancer histopathological images,

Reference 16

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Observation 9411385f-f2ef-416d-b951-b8b73aebfc4f · outbound

This paper cites Generative adversarial networks in digital pathology: a survey on trends and future potential,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative adversarial networks in digital pathology: a survey on trends and future potential,

Reference 17

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This paper cites Generative adversarial networks in medical image reconstruction: A systematic literature review,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative adversarial networks in medical image reconstruction: A systematic literature review,

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Observation c60a4600-0b1c-4409-8865-4c228059f38a · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Diffusion models beat gans on image synthesis,

Reference 19

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This paper cites A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models,

Reference 20

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This paper cites Unsupervised medical image translation with adversarial diffusion models,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Unsupervised medical image translation with adversarial diffusion models,

Reference 21

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This paper cites Diffusion models in medical imaging: A comprehensive survey,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Diffusion models in medical imaging: A comprehensive survey,

Reference 22

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This paper cites Adaptive latent diffusion model for 3d medical image to image translation: Multi -modal magnetic resonance imaging study,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Adaptive latent diffusion model for 3d medical image to image translation: Multi -modal magnetic resonance imaging study,

Reference 23

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This paper cites Towards efficient diffusion -based image editing with instant attention masks,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Towards efficient diffusion -based image editing with instant attention masks,

Reference 24

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This paper cites Imagic: Text -based real image editing with diffusion models,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Imagic: Text -based real image editing with diffusion models,

Reference 25

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This paper cites Latentpaint: Image inpainting in latent space with diffusion models,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Latentpaint: Image inpainting in latent space with diffusion models,

Reference 26

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This paper cites Histology image artifact restoration with lightweight transformer based diffusion model,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Histology image artifact restoration with lightweight transformer based diffusion model,

Reference 27

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Observation 4f3871fb-6c7f-4d88-b505-a8b7a63842fe · outbound

This paper cites Diffusion models for generative histopathology,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Diffusion models for generative histopathology,

Reference 28

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Observation 36634d2d-0273-4101-9aae-91c54a1b7546 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation High-resolution image synthesis with latent diffusion models,

Reference 29

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This paper cites CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Reference 30

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Observation ff25c0f5-75c5-40d8-ad5f-5d477b6b297e · outbound

This paper cites Classifier-Free Diffusion Guidance.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Classifier-Free Diffusion Guidance

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This paper cites The KPI dataset [33] addresses chronic kidney disease (CKD) through Periodic acid-Schiff (PAS) stained whole -slide images containing annotated glomeruli.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation The KPI dataset [33] addresses chronic kidney disease (CKD) through Periodic acid-Schiff (PAS) stained whole -slide images containing annotated glomeruli

Reference 32

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This paper cites KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Reference 33

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This paper cites TIGER - Grand Challenge.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation TIGER - Grand Challenge

Reference 34

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This paper cites A hybrid deep learning approach for gland segmentation in prostate histopathological images,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation A hybrid deep learning approach for gland segmentation in prostate histopathological images,

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This paper cites We assessed performance through both quantitative metrics and qualitative visual inspection across all four histopathology datasets.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation We assessed performance through both quantitative metrics and qualitative visual inspection across all four histopathology datasets

Reference 36

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This paper cites A novel dataset for nuclei and tissue segmentation in Melanoma with baseline nuclei segmentation and tissue segmentation benchmarks.[DOME-ML Annotations]. 2025,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation A novel dataset for nuclei and tissue segmentation in Melanoma with baseline nuclei segmentation and tissue segmentation benchmarks.[DOME-ML Annotations]. 2025,

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This paper cites Conditional Generative Adversarial Nets.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Conditional Generative Adversarial Nets

Reference 38

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This paper cites Gans trained by a two time -scale update rule converge to a local nash equilibrium,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Gans trained by a two time -scale update rule converge to a local nash equilibrium,

Reference 39

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Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation On aliased resizing and surprising subtleties in gan evaluation,

Reference 40

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This paper cites Generative AI enables medical image segmentation in ultra low -data regimes,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative AI enables medical image segmentation in ultra low -data regimes,

Reference 41

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This paper cites Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi -automated Approaches on Consumer and Medical Grade Devices,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi -automated Approaches on Consumer and Medical Grade Devices,

Reference 42

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This paper cites Dealing with multi-dimensional data and the burden of annotation: easing the burden of annotation,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Dealing with multi-dimensional data and the burden of annotation: easing the burden of annotation,

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This paper cites Generative Adversarial Network (GAN): A general review on different variants of GAN and applications,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative Adversarial Network (GAN): A general review on different variants of GAN and applications,

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Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Domain generalization for medical image analysis: A review,

Reference 45

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This paper cites Histopathologic analysis of human kidney spatial transcriptomics data: toward precision pathology,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Histopathologic analysis of human kidney spatial transcriptomics data: toward precision pathology,

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This paper cites Swiftbrush: One -step text-to-image diffusion model with variational score distillation,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Swiftbrush: One -step text-to-image diffusion model with variational score distillation,

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This paper cites Generative AI in medical imaging: applications, challenges, and ethics,.

Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation Generative AI in medical imaging: applications, challenges, and ethics,

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