HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization | Paper Citation Record

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This paper cites Cancer statistics, 2023.,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Cancer statistics, 2023.,

Reference 1

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Observation ef6c1167-2e6e-4e86-8a7b-32c7a3fd2dfd · outbound

This paper cites Us food and drug administration approval of whole slide imaging for primary diagnosis: a key milestone is reached and new questions are raised,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Us food and drug administration approval of whole slide imaging for primary diagnosis: a key milestone is reached and new questions are raised,

Reference 2

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Observation aeaf53ba-2da5-43b7-a9bf-cc950dbb3653 · outbound

This paper cites Deep learning in cancer pathology: a new generation of clinical biomarkers,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Deep learning in cancer pathology: a new generation of clinical biomarkers,

Reference 3

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This paper cites Geospatial immune variability illuminates differential evolution of lung adenocarcinoma,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Geospatial immune variability illuminates differential evolution of lung adenocarcinoma,

Reference 4

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Observation fb003498-9789-4184-8854-d2aa5ddb396e · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization U-net: Convolutional net- works for biomedical image segmentation,

Reference 5

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This paper cites Unet++: A nested u-net architecture for medical image segmenta- tion,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Unet++: A nested u-net architecture for medical image segmenta- tion,

Reference 6

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Observation 779bb178-84ea-4229-8b66-9c45157e32e6 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 7

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Observation 275dc141-116f-42b6-824b-d0daa3eba615 · outbound

This paper cites Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels,

Reference 8

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Observation 92206898-27c5-44ab-a8b7-635dbb7b7d8c · outbound

This paper cites Structured crowdsourcing enables convolutional segmentation of histology images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Structured crowdsourcing enables convolutional segmentation of histology images,

Reference 9

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Observation 0f495144-8c14-49d4-b3b2-edadaf0badf1 · outbound

This paper cites Histosegnet: Semantic segmentation of histological tissue type in whole slide images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Histosegnet: Semantic segmentation of histological tissue type in whole slide images,

Reference 10

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Observation 68067da4-d7e4-4a46-8df6-a547bc6aa5b5 · outbound

This paper cites What’s the point: Semantic segmentation with point supervision,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization What’s the point: Semantic segmentation with point supervision,

Reference 11

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Observation 0526c30b-838b-4225-a703-a5d7b438c84f · outbound

This paper cites Scribblesup: Scribble- supervised convolutional networks for semantic segmentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Scribblesup: Scribble- supervised convolutional networks for semantic segmentation,

Reference 12

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Observation c27d53e3-f4ca-42ba-86f0-63f83d34def1 · outbound

This paper cites Learning deep features for discriminative localization,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Learning deep features for discriminative localization,

Reference 13

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Observation 20dcb126-461f-4b53-b4a1-6bcda59943d8 · outbound

This paper cites Self-supervised equivariant attention mechanism for weakly supervised semantic seg- mentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Self-supervised equivariant attention mechanism for weakly supervised semantic seg- mentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:27.301009Z

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Observation 7578a2d7-f466-44b3-a6c8-6f1df93c484e · outbound

This paper cites Hamil: High-resolution activation maps and interleaved learning for weakly supervised seg- mentation of histopathological images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Hamil: High-resolution activation maps and interleaved learning for weakly supervised seg- mentation of histopathological images,

Reference 15

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Observation c452e83b-3a8b-4eaa-bcb6-92ce631337bc · outbound

This paper cites Ima- genet: A large-scale hierarchical image database,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Ima- genet: A large-scale hierarchical image database,

Reference 16

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Observation ad73bf62-d4c7-4cc2-b77f-abafaa5c729c · outbound

This paper cites WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Reference 17

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Observation 98970232-9fda-4537-b462-aa45b92b20d6 · outbound

This paper cites Weakly- supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Weakly- supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint,

Reference 18

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Observation 49a9d3af-6c40-49be-8cc7-cc8017b3ae18 · outbound

This paper cites Weakly-supervised semantic segmentation via sub-category exploration,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Weakly-supervised semantic segmentation via sub-category exploration,

Reference 19

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Observation 2ecd5aef-bad3-49ce-85e4-0029a1a36441 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 20

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Observation 6df6ac40-4ffb-48fd-b094-d5ef1acb3778 · outbound

This paper cites Online easy example mining for weakly-supervised gland segmentation from histology images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Online easy example mining for weakly-supervised gland segmentation from histology images,

Reference 21

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Observation 5eb515bf-8a46-4355-9833-81506cbd26b4 · outbound

This paper cites Semi-supervised pathological image segmentation via cross distillation of multiple attentions and seg-cam consistency,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Semi-supervised pathological image segmentation via cross distillation of multiple attentions and seg-cam consistency,

Reference 22

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Observation 6e8f7644-2757-4eed-a3fa-c5bca00c3d8e · outbound

This paper cites Camel: A weakly supervised learning framework for histopathology image segmentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Camel: A weakly supervised learning framework for histopathology image segmentation,

Reference 23

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Observation 99a17aaf-aad3-49bf-84bb-b01115e8fe48 · outbound

This paper cites Constrained deep weak supervision for histopathology image segmentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Constrained deep weak supervision for histopathology image segmentation,

Reference 24

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Observation 553fa436-0901-4349-820f-4467b655ac51 · outbound

This paper cites Generative adversarial nets,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Generative adversarial nets,

Reference 25

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This paper cites Image-to-image translation with conditional adversarial networks,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Image-to-image translation with conditional adversarial networks,

Reference 26

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This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 27

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This paper cites Unsupervised multi- domain progressive stain transfer guided by style encoding dictionary,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Unsupervised multi- domain progressive stain transfer guided by style encoding dictionary,

Reference 28

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This paper cites Denoising diffusion probabilistic mod- els,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Denoising diffusion probabilistic mod- els,

Reference 29

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This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Ilvr: Conditioning method for denoising diffusion probabilistic models,

Reference 30

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

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization High- resolution image synthesis with latent diffusion models,

Reference 31

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This paper cites A morphology focused diffusion proba- bilistic model for synthesis of histopathology images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization A morphology focused diffusion proba- bilistic model for synthesis of histopathology images,

Reference 32

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This paper cites Diffmix: Diffusion model-based data syn- thesis for nuclei segmentation and classification in imbalanced pathology image datasets,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Diffmix: Diffusion model-based data syn- thesis for nuclei segmentation and classification in imbalanced pathology image datasets,

Reference 33

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This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 34

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This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization YOLOv4: Optimal Speed and Accuracy of Object Detection

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This paper cites Interpolation using b ´ezier curves,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Interpolation using b ´ezier curves,

Reference 36

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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Deep residual learning for image recognition,

Reference 37

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This paper cites Adam: A Method for Stochastic Optimization.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Adam: A Method for Stochastic Optimization

Reference 38

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This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 39

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This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 40

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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Decoupled weight decay regularization,

Reference 41

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This paper cites Towards a general-purpose foundation model for computational pathology,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Towards a general-purpose foundation model for computational pathology,

Reference 42

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This paper cites A visual-language foundation model for computational pathology,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization A visual-language foundation model for computational pathology,

Reference 43

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This paper cites Semi-supervised semantic segmen- tation with cross-consistency training,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Semi-supervised semantic segmen- tation with cross-consistency training,

Reference 44

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This paper cites Con- sistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Con- sistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images,

Reference 45

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This paper cites Semi-supervised semantic segmentation with cross pseudo supervision,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Semi-supervised semantic segmentation with cross pseudo supervision,

Reference 46

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This paper cites Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,

Reference 47

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This paper cites Fast ff-to-ffpe whole slide image translation via laplacian pyramid and contrastive learn- ing,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Fast ff-to-ffpe whole slide image translation via laplacian pyramid and contrastive learn- ing,

Reference 48

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Observation 84c0835a-0024-4a60-a2ba-ab98ee46e93a · outbound

This paper cites A deep- learning model for transforming the style of tissue images from cryosec- tioned to formalin-fixed and paraffin-embedded,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization A deep- learning model for transforming the style of tissue images from cryosec- tioned to formalin-fixed and paraffin-embedded,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:26.772609Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 459d8319-29ae-4c59-bca7-29d94587537a · outbound

This paper cites Digestpath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Digestpath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:26.639222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb64c3e1-64c7-439f-ad8d-07dc1181c957 · outbound

This paper cites Re-labeling imagenet: from single to multi-labels, from global to localized labels,.

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Re-labeling imagenet: from single to multi-labels, from global to localized labels,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:26.739756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

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Pith citing papers