Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer | Paper Citation Record

Observation 5c5bd26e-7f05-4f6b-94a2-2df84b6a5a07 · outbound

This paper cites Tumor islands in resected early -stage lung adenocarcinomas are associated with unique clinicopathologic and molecular characteristics and worse prognosis,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Tumor islands in resected early -stage lung adenocarcinomas are associated with unique clinicopathologic and molecular characteristics and worse prognosis,

Reference 1

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Observation b5a67fcd-f884-4011-9c94-baf5b09d6b51 · outbound

This paper cites Kadota et al.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Kadota et al

Reference 2

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Observation 6f7a661e-5d37-49aa-99ab-7e3196b97534 · outbound

This paper cites Prognostic impact of intra -alveolar tumor spread in pulmonary adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Prognostic impact of intra -alveolar tumor spread in pulmonary adenocarcinoma,

Reference 3

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Observation 756fb4cf-1ceb-4d8c-a484-ae01ee6f5383 · outbound

This paper cites Prognostic significance of tumor spread through air spaces in patients with stage IA part -solid lung adenocarcinoma after sublobar resection,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Prognostic significance of tumor spread through air spaces in patients with stage IA part -solid lung adenocarcinoma after sublobar resection,

Reference 4

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Observation f4d697b3-3686-4b48-abe8-56bafcd5be1f · outbound

This paper cites Lobectomy is associated with better outcomes than sublobar resection in spread through air spaces (ST AS)- positive T1 lung adenocarcinoma: a propensity score–matched analysis,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Lobectomy is associated with better outcomes than sublobar resection in spread through air spaces (ST AS)- positive T1 lung adenocarcinoma: a propensity score–matched analysis,

Reference 5

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Observation 89fc6d9e-1d9b-4b6d-b356-6e2e0dd4736a · outbound

This paper cites Spread through air spaces is a predictive factor of recurrence and a prognostic factor in stage I lung adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Spread through air spaces is a predictive factor of recurrence and a prognostic factor in stage I lung adenocarcinoma,

Reference 6

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Observation f853e532-6a8e-47e8-b48f-5602a86b4d26 · outbound

This paper cites Tumor spread through air spaces affects the recurrence and overall survival in patients with lung adenocarcinoma> 2 to 3 cm,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Tumor spread through air spaces affects the recurrence and overall survival in patients with lung adenocarcinoma> 2 to 3 cm,

Reference 7

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Observation f3c3304b-a6c8-4fed-8186-438c5299ca34 · outbound

This paper cites Pathological prognostic factors of recurrence in early stage lung adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Pathological prognostic factors of recurrence in early stage lung adenocarcinoma,

Reference 8

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Observation 9bf08a69-c60c-4c6f-ae3d-c7b82fea6f6f · outbound

This paper cites Spread through air spaces is an independent predictor of recurrence in stage III (N2) lung adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Spread through air spaces is an independent predictor of recurrence in stage III (N2) lung adenocarcinoma,

Reference 9

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Observation a135bf83-06da-431a-9b35-347fb0a96769 · outbound

This paper cites Analysis of recurrence in lung adenocarcinoma with spread through air spaces,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Analysis of recurrence in lung adenocarcinoma with spread through air spaces,

Reference 10

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Observation c0c64f93-15ff-49cd-ae59-61d5b6ba8d25 · outbound

This paper cites STAS: New explorations and challenges for thoracic surgeons,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer STAS: New explorations and challenges for thoracic surgeons,

Reference 11

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This paper cites an unresolved cited work.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Unresolved cited work

Reference 12

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correction dated 2026-06-26. Source: crossref record 10.1016/j.jtho.2025.08.020->10.1016/j.jtho.2024.03.015:correction, observed 2026-07-11T03:16:10.139274+00:00. This notice travels one citation hop only.

Observation 44341fbd-3484-47c5-b1ca-6e12fb5ae5a5 · outbound

This paper cites Prognostic significance of limited resection in pathologic stage I lung adenocarcinoma with spread through air spaces,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Prognostic significance of limited resection in pathologic stage I lung adenocarcinoma with spread through air spaces,

Reference 13

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Observation f4c561c9-94b9-42a9-8b42-5b7800649d73 · outbound

This paper cites Colorimetric histology using plasmonically active microscope slides,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Colorimetric histology using plasmonically active microscope slides,

Reference 14

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Observation 0f40da57-8991-47ae-8883-b4a0745ac82f · outbound

This paper cites Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images,

Reference 15

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This paper cites Pathology Visions 2020: Through the Prism of Innovation,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Pathology Visions 2020: Through the Prism of Innovation,

Reference 16

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This paper cites Pathology: the clinical description of human disease,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Pathology: the clinical description of human disease,

Reference 17

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This paper cites The NanoSuit method: a novel histological approach for examining paraffin sections in a nondestructive manner by correlative light and electron microscopy ,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer The NanoSuit method: a novel histological approach for examining paraffin sections in a nondestructive manner by correlative light and electron microscopy ,

Reference 18

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This paper cites The value of frozen section diagnosis of tumor spread through air spaces in small -sized (≤ 2 cm) non -small cell lung cancer,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer The value of frozen section diagnosis of tumor spread through air spaces in small -sized (≤ 2 cm) non -small cell lung cancer,

Reference 19

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Unresolved cited work

Reference 20

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Observation 063e9dff-26a5-4273-aca9-df0f37bd00a7 · outbound

This paper cites Accuracy and reproducibility of intraoperative assessment on tumor spread through air spaces in stage 1 lung adenocarcinomas,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Accuracy and reproducibility of intraoperative assessment on tumor spread through air spaces in stage 1 lung adenocarcinomas,

Reference 21

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Observation cf2f6955-37c1-4bc7-85f0-8c026275d817 · outbound

This paper cites Assessment of the feasibility of frozen sections for the detection of spread through air spaces (STAS) in pulmonary adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Assessment of the feasibility of frozen sections for the detection of spread through air spaces (STAS) in pulmonary adenocarcinoma,

Reference 22

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This paper cites Artificial intelligence in radiology ,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Artificial intelligence in radiology ,

Reference 23

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This paper cites Recent advances and applications of deep learning methods in materials science,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Recent advances and applications of deep learning methods in materials science,

Reference 24

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This paper cites Semi - supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Semi - supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification,

Reference 25

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This paper cites Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning,

Reference 26

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This paper cites MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas,

Reference 27

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This paper cites Deconv -transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Deconv -transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture,

Reference 28

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This paper cites Topological Tumor Graphs: A Graph - Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Topological Tumor Graphs: A Graph - Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology,

Reference 29

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This paper cites Integrating spatial gene expression and breast tumour morphology via deep learning,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Integrating spatial gene expression and breast tumour morphology via deep learning,

Reference 31

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This paper cites Attention -based deep multiple instance learning,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Attention -based deep multiple instance learning,

Reference 32

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This paper cites Dual-stream multiple instance learning network for whole slide image classification with self- supervised contrastive learning,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Dual-stream multiple instance learning network for whole slide image classification with self- supervised contrastive learning,

Reference 33

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Transmil: Transformer based correlated multiple instance learning for whole slide image classification,

Reference 34

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This paper cites DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification,

Reference 35

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This paper cites Interventional Bag Multi -Instance Learning On Whole -Slide Pathological Images,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Interventional Bag Multi -Instance Learning On Whole -Slide Pathological Images,

Reference 36

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This paper cites Nuclear morphology is a deep learning biomarker of cellular senescence,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Nuclear morphology is a deep learning biomarker of cellular senescence,

Reference 37

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This paper cites A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

Reference 38

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Observation 798afeed-bcb5-4e33-99be-3e03f6f00f17 · outbound

This paper cites Gross specimen handling procedures do not impact the occurrence of spread through air spaces (STAS) in lung cancer,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Gross specimen handling procedures do not impact the occurrence of spread through air spaces (STAS) in lung cancer,

Reference 39

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This paper cites Histopathological aspects of resected non -small cell lung cancer, with emphasis on spread through air spaces and collapsed adenocarcinoma in situ,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Histopathological aspects of resected non -small cell lung cancer, with emphasis on spread through air spaces and collapsed adenocarcinoma in situ,

Reference 40

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This paper cites Graph learning considering dynamic structure and random structure,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Graph learning considering dynamic structure and random structure,

Reference 41

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This paper cites Gas exchange and ventilation– perfusion relationships in the lung,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Gas exchange and ventilation– perfusion relationships in the lung,

Reference 42

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This paper cites Global variations in lung cancer incidence by histological subtype in 2020: a population -based study ,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Global variations in lung cancer incidence by histological subtype in 2020: a population -based study ,

Reference 43

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This paper cites Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer,

Reference 44

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Observation 44f3bbb7-71dd-42b4-9575-5cba4bb66a6c · outbound

This paper cites Correlation of tumor spread through air spaces and clinicopathological characteristics in surgically resected lung adenocarcinomas,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Correlation of tumor spread through air spaces and clinicopathological characteristics in surgically resected lung adenocarcinomas,

Reference 45

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Observation 0c312d6e-d7a6-4596-b787-4c448d4596e7 · outbound

This paper cites Relationship between MTA1 and spread through air space and their joint influence on prognosis of patients with stage I-III lung adenocarcinoma,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Relationship between MTA1 and spread through air space and their joint influence on prognosis of patients with stage I-III lung adenocarcinoma,

Reference 46

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This paper cites Genetic and clinicopathologic characteristics of lung adenocarcinoma with tumor spread through air spaces,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Genetic and clinicopathologic characteristics of lung adenocarcinoma with tumor spread through air spaces,

Reference 47

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This paper cites p53 immunohistochemistry is an accurate surrogate for TP53 mutational analysis in endometrial carcinoma biopsies,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer p53 immunohistochemistry is an accurate surrogate for TP53 mutational analysis in endometrial carcinoma biopsies,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.822871Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5ef0a22-9f15-4221-9009-44f9dccfaaa3 · outbound

This paper cites Correlative assessment of p53 immunostaining patterns and TP53 mutation status by next - generation sequencing in high-grade endometrial carcinomas,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Correlative assessment of p53 immunostaining patterns and TP53 mutation status by next - generation sequencing in high-grade endometrial carcinomas,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.808264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75cde3f4-2283-4698-a09a-79e0a9193b8e · outbound

This paper cites Concordance of ALK fusion gene - rearrangement between immunohistochemistry and next - generation sequencing,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Concordance of ALK fusion gene - rearrangement between immunohistochemistry and next - generation sequencing,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.793400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2374f95-d32e-4435-96b1-079298d97e89 · outbound

This paper cites Integration of clinicopathological and mutational data offers insight into lung cancer with tumor spread through air spaces,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Integration of clinicopathological and mutational data offers insight into lung cancer with tumor spread through air spaces,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.778633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f21780e2-34f9-41c6-a0d3-6f8dfb9762af · outbound

This paper cites An individualized nomogram for predicting and validating spread through air space (STAS) in surgically resected lung adenocarcinoma: a single center retrospective analysis,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer An individualized nomogram for predicting and validating spread through air space (STAS) in surgically resected lung adenocarcinoma: a single center retrospective analysis,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.763939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c47b5fdb-d930-4c92-b9ec-78ba05ce3d0f · outbound

This paper cites Comprehensive analysis of spread through air spaces in lung adenocarcinoma and squamous cell carcinoma using the 8th edition AJCC/UICC staging system,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Comprehensive analysis of spread through air spaces in lung adenocarcinoma and squamous cell carcinoma using the 8th edition AJCC/UICC staging system,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.747808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2fbbd3ce-d84d-4a51-a964-5799c53cb0e3 · outbound

This paper cites Spread through air spaces (STAS) is a predictor of poor outcome in atypical carcinoids of the lung,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Spread through air spaces (STAS) is a predictor of poor outcome in atypical carcinoids of the lung,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.731937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e39b8277-c2bc-42f3-8362-9f3f889a342e · outbound

This paper cites Dynamic monitoring of PD‐L1 and Ki67 in circulating tumor cells of metastatic non‐small cell lung cancer patients treated with pembrolizumab,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Dynamic monitoring of PD‐L1 and Ki67 in circulating tumor cells of metastatic non‐small cell lung cancer patients treated with pembrolizumab,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.715858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cde81df3-a1a4-47b2-9fd7-1ab4d02604a3 · outbound

This paper cites Spectral imaging with deep learning,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Spectral imaging with deep learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.699996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8474ce6-e4db-48a9-bcaa-c2769f7b2071 · outbound

This paper cites Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.550639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af1df53e-1576-4655-893d-b1f92340a2d2 · outbound

This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Transformer-based unsupervised contrastive learning for histopathological image classification,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.554586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef59daa-ab33-4d10-8782-c6e6fa38d779 · outbound

This paper cites Densely Connected Convolutional Networks,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Densely Connected Convolutional Networks,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.558529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec9d979-c47f-4dc4-a75c-824ea9bc6a90 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.683813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed665dcb-11a1-40be-a7de-87e7c8b2b971 · outbound

This paper cites A fuzzy k-nearest neighbor algorithm,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer A fuzzy k-nearest neighbor algorithm,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.667548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bdd9b14a-e1de-486e-9ba7-bc762e41886e · outbound

This paper cites Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for C ancer Diagnosis and Prognosis,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for C ancer Diagnosis and Prognosis,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.571615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62495e2f-2bc7-464b-8fbd-4b4211175bec · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Semi-Supervised Classification with Graph Convolutional Networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.575718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0046d672-c412-4a05-9517-858746436f6d · outbound

This paper cites Inductive Representation Learning on Large Graphs,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Inductive Representation Learning on Large Graphs,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.651828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64f233cf-7a96-40d3-9ba3-dbb1fa07e958 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Deep Learning using Rectified Linear Units (ReLU)

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T14:44:10.585240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a0c7b4-a5f5-4ccc-bf0c-fb1d91d5c1ed · outbound

This paper cites Local-aggregation graph networks,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Local-aggregation graph networks,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.636484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d637ccff-5811-4698-9498-6f641445de04 · outbound

This paper cites Multilayer perceptron (MLP),.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Multilayer perceptron (MLP),

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.620296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0eb6f70d-82c6-4bc8-8e94-f50743741115 · outbound

This paper cites Prevalence of neural collapse during the terminal phase of deep learning training,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Prevalence of neural collapse during the terminal phase of deep learning training,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.602394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f329df2-55d7-498d-8403-e9531d840798 · outbound

This paper cites Uctransnet: rethinking the skip connections in u -net from a channel-wise perspective with transformer,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Uctransnet: rethinking the skip connections in u -net from a channel-wise perspective with transformer,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.584979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ebe9679-c28e-49d0-bb0c-500164277103 · outbound

This paper cites Deep learning modelling techniques: current progress, applications, advantages, and challenges,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Deep learning modelling techniques: current progress, applications, advantages, and challenges,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.568898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2427da9b-dd5c-4955-85c6-75f00e1d136a · outbound

This paper cites A sufficient condition for convergences of adam and rmsprop,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer A sufficient condition for convergences of adam and rmsprop,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.552626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db87b3c2-eaa1-4f58-8396-51ee0f917a23 · outbound

This paper cites The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.534440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 943cf8ed-6f7e-490a-af8e-9e0613a56ecb · outbound

This paper cites Comparison of deep learning approaches to predict COVID-19 infection,.

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Comparison of deep learning approaches to predict COVID-19 infection,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:44:11.515482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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