MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation | Paper Citation Record

Observation af4c4eb2-31a5-41d9-bb0a-8a5f1e0d2fb0 · outbound

This paper cites Pseudo-label guided contrastive learning for semi-supervised medical image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Pseudo-label guided contrastive learning for semi-supervised medical image segmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:05.949898Z

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Observation 17d3b865-41a0-475f-99a9-b4a1bc79e4b4 · outbound

This paper cites Topologically faithful multi-class segmentation in medical images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topologically faithful multi-class segmentation in medical images

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.157154Z

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Observation c04c1eec-6858-4e1e-ae06-70171e2b5372 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Mixmatch: A holistic approach to semi-supervised learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.323359Z

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Observation a59f4229-5cfd-47f1-b8aa-1045e4856f9e · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.436273Z

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Observation aef9491a-6c44-4bac-b5e1-b23230ef9a01 · outbound

This paper cites A topological loss function for deep-learning based image segmentation using persistent homology.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation A topological loss function for deep-learning based image segmentation using persistent homology

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.552938Z

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Observation d3b5aafe-71fd-479e-912b-a71cf4f2590c · outbound

This paper cites Lipschitz functions have l p-stable persistence.F oundations of Computational Mathematics, 2010.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Lipschitz functions have l p-stable persistence.F oundations of Computational Mathematics, 2010

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.741059Z

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Observation 5d3a0361-795c-492b-a24f-42db779e7c69 · outbound

This paper cites American Mathematical Soc., 2010.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation American Mathematical Soc., 2010

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.776259Z

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Observation e4bf6048-e680-458b-b481-6ca8359a724c · outbound

This paper cites Colorectal carcinoma: Pathologic aspects.Journal of gastrointestinal oncology, 2012.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Colorectal carcinoma: Pathologic aspects.Journal of gastrointestinal oncology, 2012

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:06.829694Z

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Observation 02fd9cec-b7fe-4a21-9255-76a04a2de7d7 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.064743Z

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Observation 0eb9626c-c4ce-4bc2-b200-c527619d87f1 · outbound

This paper cites Pmt: Progressive mean teacher via exploring temporal consistency for semi-supervised medical image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Pmt: Progressive mean teacher via exploring temporal consistency for semi-supervised medical image segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.183916Z

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Observation fb962e99-3b37-4538-8d97-f9ea4264e696 · outbound

This paper cites Mild-net: Minimal information loss dilated network for gland instance segmentation in colon histology images.MedIA, 2019.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Mild-net: Minimal information loss dilated network for gland instance segmentation in colon histology images.MedIA, 2019

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.364746Z

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Observation b93ec441-9637-44e3-8922-1286fb2952b3 · outbound

This paper cites Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.MedIA, 2019.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.MedIA, 2019

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.493463Z

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Observation 017e4ecf-3233-4dcf-8577-807fb21210b5 · outbound

This paper cites Semi-supervised learning by entropy minimization.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised learning by entropy minimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.604808Z

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Observation 0ba7149d-3a2f-403c-911e-c1ae16d8e123 · outbound

This paper cites On calibration of modern neural networks.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation On calibration of modern neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.710743Z

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Observation a5cf952f-8254-4b05-b67c-91d132aaae94 · outbound

This paper cites Learning topological interactions for multi-class medical image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Learning topological interactions for multi-class medical image segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.788329Z

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Observation a5416a0e-0457-4040-bc86-a2a62eadce22 · outbound

This paper cites Topology-aware uncertainty for image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topology-aware uncertainty for image segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.910450Z

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Observation 0207e6ad-dd13-40ec-9aa3-09de3d0ed57e · outbound

This paper cites Toposeg: Topology-aware nuclear instance segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Toposeg: Topology-aware nuclear instance segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:07.948205Z

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Observation fbda5ccf-210f-4b49-8f89-43ddaf0f60c0 · outbound

This paper cites Cellvit: Vision transformers for precise cell segmentation and classification.MedIA, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Cellvit: Vision transformers for precise cell segmentation and classification.MedIA, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.064395Z

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Observation 92e33f1e-8abc-4f01-9d9c-6ee9584b75dd · outbound

This paper cites Lora: Low-rank adaptation of large language models.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Lora: Low-rank adaptation of large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.170426Z

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Observation d24c2b22-0d86-4242-8e5f-96f10f7fec72 · outbound

This paper cites Structure-aware image segmentation with homotopy warping.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Structure-aware image segmentation with homotopy warping

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.225667Z

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Observation 267eae2b-4e8d-4cdb-b4a1-ad7ca2566e6a · outbound

This paper cites Topology-preserving deep image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topology-preserving deep image segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.290449Z

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Observation c255e075-78bc-4d97-964b-519e9dfbcf91 · outbound

This paper cites Learning probabilistic topological representations using discrete morse theory.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Learning probabilistic topological representations using discrete morse theory

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.421725Z

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Observation 75ce723c-4533-4a26-981a-cde802fa6dfa · outbound

This paper cites Topology-aware segmentation using discrete morse theory.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topology-aware segmentation using discrete morse theory

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.475023Z

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Observation 588f930d-db4c-4654-9d08-01ae446cb144 · outbound

This paper cites Adversarial Learning for Semi-Supervised Semantic Segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.652086Z

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Observation c787525b-18c1-4142-805a-f5960a4b5795 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 2021.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 2021

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.765806Z

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Observation f0283de2-7f26-4708-a3bf-cd3080c745bf · outbound

This paper cites An introduction to variational methods for graphical models.Machine learning, 1999.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation An introduction to variational methods for graphical models.Machine learning, 1999

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:08.936895Z

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Observation 114b5b10-d119-44bc-9b64-7ddb2d909a94 · outbound

This paper cites Evolutionary characterization of lung adenocarcinoma morphology in tracerx.Nature medicine, 2023.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Evolutionary characterization of lung adenocarcinoma morphology in tracerx.Nature medicine, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.084750Z

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Observation 20a44285-e5f5-4bd8-8f97-421a842467d1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.228618Z

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Observation 0864547a-0e7f-4b11-b1e0-354680cae3be · outbound

This paper cites Segment anything.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Segment anything

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.339505Z

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Observation 3636d59d-eef3-4da8-a669-9807e05bddb0 · outbound

This paper cites Enhancing sam with efficient prompting and preference optimization for semi-supervised medical image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Enhancing sam with efficient prompting and preference optimization for semi-supervised medical image segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.494684Z

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Observation dab5975e-442f-498d-a20f-b54931e91ea3 · outbound

This paper cites The hungarian method for the assignment problem.Naval research logistics quarterly, 1955.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation The hungarian method for the assignment problem.Naval research logistics quarterly, 1955

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.632894Z

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Observation 87e45d33-ea16-44ce-897d-cbf3b761a55e · outbound

This paper cites A multi-organ nucleus segmentation challenge.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation A multi-organ nucleus segmentation challenge

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.744736Z

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Observation 5f2c5359-156f-4c68-933e-94d58ffd4436 · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Temporal Ensembling for Semi-Supervised Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:09.841201Z

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Observation a3b1ad85-5037-4fb7-9239-3c15d6342440 · outbound

This paper cites Semi-supervised medical image segmentation using adversarial consistency learning and dynamic convolution network.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised medical image segmentation using adversarial consistency learning and dynamic convolution network

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.037139Z

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Observation ab4c5bae-c7a1-4ce2-a0ab-d91db7b11d3b · outbound

This paper cites Calibrating uncertainty for semi-supervised crowd counting.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Calibrating uncertainty for semi-supervised crowd counting

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.132878Z

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Observation 384c9ac3-dcd3-4193-b8c4-3caf7c80f59d · outbound

This paper cites Confidence estimation using unlabeled data.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Confidence estimation using unlabeled data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.187856Z

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Observation 61c00a3b-c605-456f-b58f-5d32fa5b5cbb · outbound

This paper cites Transformation- consistent self-ensembling model for semi-supervised medical image segmentation.TNNLS, 2020.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Transformation- consistent self-ensembling model for semi-supervised medical image segmentation.TNNLS, 2020

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.279871Z

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Observation b745f622-49e1-48df-8e1d-c528a3ead88b · outbound

This paper cites Semi-supervised medical image segmentation through dual-task consistency.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised medical image segmentation through dual-task consistency

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.466438Z

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Observation 9b672404-ad97-47a9-bde8-f5b91b29a773 · outbound

This paper cites Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.MedIA, 2022.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.MedIA, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.531951Z

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Observation 6e9da841-22cb-45c3-a6a1-37855beeae3d · outbound

This paper cites Topograph: An efficient graph-based framework for strictly topology preserving image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topograph: An efficient graph-based framework for strictly topology preserving image segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.554338Z

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Observation a540d443-1587-4147-878b-4b47ab7cd76e · outbound

This paper cites Segment anything in medical images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Segment anything in medical images

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.584235Z

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Observation 3f901993-a609-4630-bf01-15edacb9ce99 · outbound

This paper cites University of Toronto (Canada), 2013.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation University of Toronto (Canada), 2013

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.639478Z

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Observation 261e57ae-d76f-430f-86cb-cfed83a89487 · outbound

This paper cites an unresolved cited work.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.743348Z

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Observation 94825a81-16bb-48b5-b7fa-c9e9c6e9ed9f · outbound

This paper cites Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation.MedIA, 2020.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation.MedIA, 2020

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.916491Z

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Observation f3ee9544-477f-43c9-a5cf-bd9281fc3c2f · outbound

This paper cites Semi-supervised histopathology image segmentation with feature diversified collaborative learning.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised histopathology image segmentation with feature diversified collaborative learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:10.997382Z

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Observation 4f0b5dfd-bf58-4e0b-a4aa-8852c556fa87 · outbound

This paper cites Semi-supervised semantic segmentation with cross- consistency training.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised semantic segmentation with cross- consistency training

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.087948Z

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Observation 5e62b2dd-026b-4709-a120-0c9ceb18ff61 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.148436Z

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Observation 6bb42bc6-e0fd-496b-b813-09abc8870ca5 · outbound

This paper cites an unresolved cited work.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.207743Z

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Observation 2f14b07d-ce8d-4794-a455-f93565c1e38b · outbound

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

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.304404Z

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Observation 770a3510-2abe-46eb-8a08-b7334c51cbf4 · outbound

This paper cites Reference-guided pseudo- label generation for medical semantic segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Reference-guided pseudo- label generation for medical semantic segmentation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.491359Z

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Observation db5af80f-e3c4-450e-8dda-bb274c6524c9 · outbound

This paper cites Revisiting and maximizing temporal knowledge in semi-supervised semantic segmentation.arXiv preprint arXiv:2405.20610, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Revisiting and maximizing temporal knowledge in semi-supervised semantic segmentation.arXiv preprint arXiv:2405.20610, 2024

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.638859Z

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Observation 1aa6ee1f-175e-4d80-a5ac-d333eebb9114 · outbound

This paper cites cldice-a novel topology-preserving loss function for tubular structure segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation cldice-a novel topology-preserving loss function for tubular structure segmentation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.764791Z

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Observation 3d22fe43-ced0-4038-8284-30fd3b250fe5 · outbound

This paper cites Gland segmentation in colon histology images: The glas challenge contest.MedIA, 2017.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Gland segmentation in colon histology images: The glas challenge contest.MedIA, 2017

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.863234Z

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Observation 9fc0d189-b1d5-4a22-a581-d055d4565143 · outbound

This paper cites Tint fill.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Tint fill

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:11.973586Z

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Observation 6d4f8dec-13fd-4762-92f5-8f04f92a3fbf · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.135902Z

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Observation 165f75e2-1602-40d7-b850-6bed605992c7 · outbound

This paper cites Topologically faithful image segmentation via induced matching of persistence barcodes.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topologically faithful image segmentation via induced matching of persistence barcodes

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.332769Z

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Observation bce9f418-13d0-4901-b719-6ee4cd06997f · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.458186Z

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Observation ff9d8c31-5691-46f7-86b4-ab27fb422963 · outbound

This paper cites Monusac2020: A multi-organ nuclei segmentation and classification challenge.TMI, 2021.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Monusac2020: A multi-organ nuclei segmentation and classification challenge.TMI, 2021

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.599212Z

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Observation 0ac48c2c-eb20-49d9-ae91-7f4cb4bb75f5 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.783727Z

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Observation 6cbc8899-f5c7-47dd-b709-04236403fc53 · outbound

This paper cites Topogan: A topology-aware generative adversarial network.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topogan: A topology-aware generative adversarial network

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:12.892212Z

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Observation 3ea7d9ff-e21d-4381-84dc-3e14e22ba374 · outbound

This paper cites Ta-net: Topology-aware network for gland segmenta- tion.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Ta-net: Topology-aware network for gland segmenta- tion

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.062470Z

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Observation 46fb5f7f-9c28-4640-a9a8-50e869a82bde · outbound

This paper cites Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.236286Z

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Observation 646e7a2a-fffd-414d-a3b7-3b050e351861 · outbound

This paper cites Topology-preserving image segmentation with spatial-aware persistent feature matching.arXiv preprint arXiv:2412.02076, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topology-preserving image segmentation with spatial-aware persistent feature matching.arXiv preprint arXiv:2412.02076, 2024

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.400333Z

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Observation 0854df8f-2be9-49ca-a6f5-2af77b407503 · outbound

This paper cites Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in histopathologic images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in histopathologic images

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.587159Z

Source-reported events for the cited work

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Observation 77e837d5-40f0-491d-ac02-fd2faf8c283c · outbound

This paper cites Otoo, and Kenji Suzuki.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Otoo, and Kenji Suzuki

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.681027Z

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Observation e332004f-41f1-4b30-aa76-c655d08364a4 · outbound

This paper cites Entropy-guided contrastive learning for semi-supervised medical image segmentation.IET Image Processing, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Entropy-guided contrastive learning for semi-supervised medical image segmentation.IET Image Processing, 2024

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.793942Z

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Observation 83890439-5aff-4fd4-8abf-aa5174b3f9ad · outbound

This paper cites Deep segmentation-emendation model for gland instance segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Deep segmentation-emendation model for gland instance segmentation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:13.935270Z

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Observation 1cd49c59-5dda-4a7d-9b33-1ba08748135b · outbound

This paper cites Topocellgen: Generating histopathology cell topology with a diffusion model.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topocellgen: Generating histopathology cell topology with a diffusion model

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.087878Z

Source-reported events for the cited work

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Observation 035096f9-4d3c-4765-a180-4a95c2984ee8 · outbound

This paper cites Semi-supervised segmentation of histopathology images with noise-aware topological consistency.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Semi-supervised segmentation of histopathology images with noise-aware topological consistency

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.219287Z

Source-reported events for the cited work

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Observation e374268f-0e6a-49f8-9655-422eecf793d1 · outbound

This paper cites Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.MedIA, 2023.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.MedIA, 2023

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.383042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e3e782-77b3-44a9-9355-3eb2ce4a4f26 · outbound

This paper cites 3d topology-preserving segmentation with compound multi-slice representation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation 3d topology-preserving segmentation with compound multi-slice representation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.556027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65486d12-df69-48e9-af73-1ae5a9924837 · outbound

This paper cites A topological-attention convlstm network and its application to em images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation A topological-attention convlstm network and its application to em images

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.722831Z

Source-reported events for the cited work

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Observation 426cefa7-98c1-4079-995b-aead486dd839 · outbound

This paper cites Anomaly-guided weakly supervised lesion segmentation on retinal oct images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Anomaly-guided weakly supervised lesion segmentation on retinal oct images

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.843117Z

Source-reported events for the cited work

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Observation 13015e7d-468c-48cb-8cbb-cab397b6a8b0 · outbound

This paper cites A multimodal approach combining structural and cross-domain textual guidance for weakly supervised oct segmentation.arXiv preprint arXiv:2411.12615, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation A multimodal approach combining structural and cross-domain textual guidance for weakly supervised oct segmentation.arXiv preprint arXiv:2411.12615, 2024

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:14.957949Z

Source-reported events for the cited work

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Observation bf847855-60c4-4aba-bee0-c959e7752ea4 · outbound

This paper cites Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.074782Z

Source-reported events for the cited work

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Observation a9b283c1-6813-4b86-ad6d-4e325fd43f39 · outbound

This paper cites Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels.TPAMI, 2024.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels.TPAMI, 2024

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.265804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10023792-9389-478d-bf02-e49e1a108c58 · outbound

This paper cites Rethinking semi-supervised medical image segmentation: A variance-reduction perspective.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Rethinking semi-supervised medical image segmentation: A variance-reduction perspective

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.378080Z

Source-reported events for the cited work

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Observation b7b6c423-e883-43e2-b560-aeee2d394b41 · outbound

This paper cites Simcvd: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation.TMI, 2022.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Simcvd: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation.TMI, 2022

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.491694Z

Source-reported events for the cited work

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Observation be916d6a-29c3-437e-a3a6-ef402ff70a6e · outbound

This paper cites Uncertainty-aware self- ensembling model for semi-supervised 3d left atrium segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Uncertainty-aware self- ensembling model for semi-supervised 3d left atrium segmentation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.626591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdc36cf-dd85-49cd-82de-a330482f1b48 · outbound

This paper cites Topology-preserving hard pixel mining for tubular structure segmentation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Topology-preserving hard pixel mining for tubular structure segmentation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.776738Z

Source-reported events for the cited work

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Observation 90dd270b-8dc7-49c5-94d0-8c9274f6ee7c · outbound

This paper cites Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:15.919595Z

Source-reported events for the cited work

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Observation 627a22da-19e5-4811-92f9-8a1a75adcf05 · outbound

This paper cites Discriminative error prediction network for semi-supervised colon gland segmentation.MedIA, 2022.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Discriminative error prediction network for semi-supervised colon gland segmentation.MedIA, 2022

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:16.099296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae055a9a-c8a1-49c0-8d8f-e854e8b14c5d · outbound

This paper cites Xnet: Wavelet-based low and high frequency fusion networks for fully-and semi-supervised semantic segmentation of biomedical images.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Xnet: Wavelet-based low and high frequency fusion networks for fully-and semi-supervised semantic segmentation of biomedical images

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:16.203987Z

Source-reported events for the cited work

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Observation 8dfacda8-220b-4bfd-a4a6-b0ee52f4a41e · outbound

This paper cites Xnet v2: Fewer limitations, better results and greater universality.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Xnet v2: Fewer limitations, better results and greater universality

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T12:56:16.347010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f15d4e67-2072-41ce-af40-bc7f2b093335 · outbound

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

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Unet++: A nested u-net architecture for medical image segmentation

Reference 85

Resolution: malformed identifier; no resolver link, observed 2026-08-04T12:56:16.439916Z

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