Paper Citation Record · LEDGER

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.07302.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.07302 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:15:03.337349Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 96485a05-5576-49c9-a63c-f7803a763f01 · outbound

This paper cites Investigating quantitative histological characteristics in renal pathology using histolens.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Investigating quantitative histological characteristics in renal pathology using histolens

Reference 1

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Observation 97c2382c-2237-428d-abbe-a2bc27107a87 · outbound

This paper cites Data-analysis strategies for image-based cell profiling.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Data-analysis strategies for image-based cell profiling

Reference 2

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Observation fd90b847-9a07-44a1-a7c2-1b1d4543d7b0 · outbound

This paper cites Cell image segmentation for diagnostic pathology.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Cell image segmentation for diagnostic pathology

Reference 3

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Observation 8d4c4bf2-d93f-4346-83f3-ac6c2bca2872 · outbound

This paper cites Singr: Brain tumor segmentation via signed normalized geodesic transform regression.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Singr: Brain tumor segmentation via signed normalized geodesic transform regression

Reference 4

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Observation f4fb537c-f4d7-44b0-89bb-02b590ad2546 · outbound

This paper cites Democratizing pathological image segmentation with lay annotators via molecular-empowered learning.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Democratizing pathological image segmentation with lay annotators via molecular-empowered learning

Reference 5

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Observation 88b718b4-862d-4792-a320-01094013d362 · outbound

This paper cites Hats: Hierarchical adaptive taxonomy segmentation for panoramic pathology image analysis.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Hats: Hierarchical adaptive taxonomy segmentation for panoramic pathology image analysis

Reference 6

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Observation 0a7cd5af-6c85-4d61-83e0-a6363dd59ad8 · outbound

This paper cites Prpseg: Universal proposition learning for panoramic renal pathology segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Prpseg: Universal proposition learning for panoramic renal pathology segmentation

Reference 7

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Observation 4161b804-43ee-409f-9d25-2f5086348caa · outbound

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

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Reference 8

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Observation b8e36de3-c356-4ea1-bb57-9b511b86fe49 · outbound

This paper cites Deep learning in digital pathology image analysis: a survey.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Deep learning in digital pathology image analysis: a survey

Reference 9

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Observation 1c6f98f7-b708-4ad7-91b5-bf6ae1e74e45 · outbound

This paper cites InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

Reference 10

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Observation f12e965e-1536-4891-86fb-e68f9e9128f3 · outbound

This paper cites Sac-net: Learning with weak and noisy labels in histopathology image segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Sac-net: Learning with weak and noisy labels in histopathology image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:15:03.592907Z

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Observation 299480bc-38cd-479a-9f28-a2b9722f0f85 · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 12

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Observation 9724e63d-b977-45e3-808e-a3120c7024a0 · outbound

This paper cites o rst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Gr \.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation o rst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Gr \

Reference 13

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Observation 2df75a75-d39e-47fc-ba8e-803b5dc98976 · outbound

This paper cites Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition

Reference 14

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Observation ac9c499b-4ddc-4b65-b0d8-30f113284bee · outbound

This paper cites Interactions between podocytes, mesangial cells, and glomerular endothelial cells in glomerular diseases.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Interactions between podocytes, mesangial cells, and glomerular endothelial cells in glomerular diseases

Reference 15

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Observation 7682c6d6-112b-4404-a8c4-235cec934b82 · outbound

This paper cites A foundation model for cell segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation A foundation model for cell segmentation

Reference 16

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Observation 3007edf1-c066-4587-858b-4e62a48905bf · outbound

This paper cites Mast cell quantification in normal peritoneum and during peritoneal dialysis treatment.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Mast cell quantification in normal peritoneum and during peritoneal dialysis treatment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:15:03.544792Z

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Observation 9abd4884-d1a1-4591-b1ba-692b916bca33 · outbound

This paper cites Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis

Reference 18

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Observation bc4cc773-c578-449a-8306-a421444967ff · outbound

This paper cites A structured tumor-immune microenvironment in triple negative breast cancer revealed by multiplexed ion beam imaging.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation A structured tumor-immune microenvironment in triple negative breast cancer revealed by multiplexed ion beam imaging

Reference 19

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Observation 3b9412c7-7a1f-49ce-a189-bd0d113996dc · outbound

This paper cites A survey on deep learning in medical image analysis.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation A survey on deep learning in medical image analysis

Reference 20

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Observation 129d99bd-2180-4a16-9039-b89b9a24140b · outbound

This paper cites Uncertainty-aware pseudo-label and consistency for semi-supervised medical image segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Uncertainty-aware pseudo-label and consistency for semi-supervised medical image segmentation

Reference 21

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Observation 5bc31d9f-0b12-4122-b84c-068286154f1d · outbound

This paper cites Normalized loss functions for deep learning with noisy labels.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Normalized loss functions for deep learning with noisy labels

Reference 22

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Observation 7e96fb36-1246-4af4-bbdf-9f259fddcf2e · outbound

This paper cites Htlv-1 proviral load in peripheral blood mononuclear cells quantified in 100 ham/tsp patients: a marker of disease progression.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Htlv-1 proviral load in peripheral blood mononuclear cells quantified in 100 ham/tsp patients: a marker of disease progression

Reference 23

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Observation a42f8098-a9b5-4c0a-b8f3-eac851d8e0ef · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 24

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Observation 97ac9f3a-2e29-4b65-9364-3e712b673114 · outbound

This paper cites Image-based cell phenotyping with deep learning.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Image-based cell phenotyping with deep learning

Reference 25

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Observation f4af5db4-f26c-4887-9c32-3e0404fbda8a · outbound

This paper cites An analysis of the impact of annotation errors on the accuracy of deep learning for cell segmentation.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation An analysis of the impact of annotation errors on the accuracy of deep learning for cell segmentation

Reference 26

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Observation 2d788b65-2759-443e-a6b7-1c875369b52b · outbound

This paper cites A noise-robust framework for automatic segmentation of covid-19 pneumonia lesions from ct images.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation A noise-robust framework for automatic segmentation of covid-19 pneumonia lesions from ct images

Reference 27

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Observation a7fb568f-a700-45c9-925f-411182c17439 · outbound

This paper cites Quantification of dengue virus specific t cell responses and correlation with viral load and clinical disease severity in acute dengue infection.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Quantification of dengue virus specific t cell responses and correlation with viral load and clinical disease severity in acute dengue infection

Reference 28

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Observation cdf45b1b-c7a4-46a1-bad9-02058ed440f7 · outbound

This paper cites Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review

Reference 29

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Observation cc46553a-5a7e-4d68-b7dd-95c3130df9fa · outbound

This paper cites Disentangling human error from ground truth in segmentation of medical images.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Disentangling human error from ground truth in segmentation of medical images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:15:03.422872Z

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Observation 8e5df25a-3b69-4dd0-81cb-c0d235222e15 · outbound

This paper cites Robust medical image segmentation from non-expert annotations with tri-network.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Robust medical image segmentation from non-expert annotations with tri-network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:15:03.412961Z

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Observation 13a44d2c-5da8-4728-a534-3b93a9c214f1 · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Generalized cross entropy loss for training deep neural networks with noisy labels

Reference 32

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Observation 654148ab-a708-4b09-bfc8-ef2ae23b3e7c · outbound

This paper cites Deep-learning--driven quantification of interstitial fibrosis in digitized kidney biopsies.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation Deep-learning--driven quantification of interstitial fibrosis in digitized kidney biopsies

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:15:03.396554Z

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Pith citing papers

No inbound Pith citation observations are available.