Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features | Paper Citation Record

Observation db440cf6-7f4e-45ca-8646-9bc8a6c2a32b · outbound

This paper cites Cancer statistics, 2023,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Cancer statistics, 2023,

Reference 1

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Observation c5de184e-02a7-413e-bd6f-ec1c27a941de · outbound

This paper cites Mapping of global, regional and national incidence, mortality and mortality -to-incidence ratio of lung cancer in 2020 and 2050,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Mapping of global, regional and national incidence, mortality and mortality -to-incidence ratio of lung cancer in 2020 and 2050,

Reference 2

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Observation 40b5d6db-d1b1-4dba-9522-ef5a205cb53a · outbound

This paper cites Impact of Clinical Features Combined with PET/CT Imaging Features on Survival Prediction of Outcome in Lung Cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Impact of Clinical Features Combined with PET/CT Imaging Features on Survival Prediction of Outcome in Lung Cancer,

Reference 3

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This paper cites Semi-supervised vs. Supervised Machine Learning Approaches for Improved Overall Survival Prediction: Application to Lung Cancer PET/CT Images,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Semi-supervised vs. Supervised Machine Learning Approaches for Improved Overall Survival Prediction: Application to Lung Cancer PET/CT Images,

Reference 4

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Observation 0ae7e0a0-1652-4532-b1ca-0df09c342a58 · outbound

This paper cites Region -of-Interest and Handcrafted vs. Deep Radiomics Feature Comparisons for Survival Outcome Prediction: Application to Lung PET/CT Imaging,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Region -of-Interest and Handcrafted vs. Deep Radiomics Feature Comparisons for Survival Outcome Prediction: Application to Lung PET/CT Imaging,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.869400Z

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Observation 092ac217-c474-40dd-9ee9-6d85798ff80f · outbound

This paper cites Tensor Deep versus Radiomics Features: Lung Cancer Outcome Prediction using Hybrid Machine Learning Systems,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Tensor Deep versus Radiomics Features: Lung Cancer Outcome Prediction using Hybrid Machine Learning Systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.855025Z

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Observation 8ba9eabe-b67d-4f4f-9a51-64f03da7d0f9 · outbound

This paper cites PET -CT Fusion Based Outcome Prediction in Lung Cancer using Deep and Handcrafted Radiomics Features and Machine Learning,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features PET -CT Fusion Based Outcome Prediction in Lung Cancer using Deep and Handcrafted Radiomics Features and Machine Learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.840089Z

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Observation d6f0e1f4-ee9a-4ddb-bccc-aa115bd7c565 · outbound

This paper cites Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.824515Z

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This paper cites Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.808851Z

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This paper cites Coronavirus disease 2019 (COVID -19): survival analysis using deep learning and Cox regression model,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Coronavirus disease 2019 (COVID -19): survival analysis using deep learning and Cox regression model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.794254Z

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Observation 5e786cb1-2009-4d8e-9fca-b23dd85dbd57 · outbound

This paper cites An overview of semiparametric models in survival analysis,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features An overview of semiparametric models in survival analysis,

Reference 11

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Observation 7ee9e89d-b2db-4766-b303-a7f82e429548 · outbound

This paper cites Survival Analysis and Interpretation of Time -to-Event Data: The Tortoise and the Hare,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Survival Analysis and Interpretation of Time -to-Event Data: The Tortoise and the Hare,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.765492Z

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Observation a43fd079-6406-43b6-b0e2-40978ccda142 · outbound

This paper cites Survival analysis and regression models,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Survival analysis and regression models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.750972Z

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This paper cites A comprehensive evaluation of machine learning techniques for cancer class prediction based on microarray data,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A comprehensive evaluation of machine learning techniques for cancer class prediction based on microarray data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.734386Z

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Observation a70f049d-e464-4563-81d9-599fd2272839 · outbound

This paper cites Machine learning for survival analysis: a case study on recurrence of prostate cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Machine learning for survival analysis: a case study on recurrence of prostate cancer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.718893Z

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Observation 4e79eeb9-0c8e-4a5f-86a5-c98a3495790d · outbound

This paper cites Censoring -Aware Deep Ordinal Regression for Survival Prediction from Pathological Images,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Censoring -Aware Deep Ordinal Regression for Survival Prediction from Pathological Images,

Reference 16

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Observation f69469f5-0a57-4be6-88d7-f57c1de0966e · outbound

This paper cites Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images,

Reference 17

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Observation 36524956-c801-4dcf-84e4-f60ac8d28141 · outbound

This paper cites Comparing supervised and semi -supervised Machine Learning Models on Diagnosing Breast Cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Comparing supervised and semi -supervised Machine Learning Models on Diagnosing Breast Cancer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.675325Z

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Observation 0c716d1d-3eeb-4737-a5b2-ee564de8b213 · outbound

This paper cites Prediction of Parkinson’s Disease Pathogenic Variants via Semi - Supervised Hybrid Machine Learning Systems, Clinical Information and Radiomics Features,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prediction of Parkinson’s Disease Pathogenic Variants via Semi - Supervised Hybrid Machine Learning Systems, Clinical Information and Radiomics Features,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.661496Z

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Observation 3a66aa0d-de91-4a4a-aa2d-47d5c6f0e842 · outbound

This paper cites Comparing supervised and semi -supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Comparing supervised and semi -supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients,

Reference 20

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Observation b14e6918-0eda-472b-82e0-2f6575abef3f · outbound

This paper cites Using pseudo -labeling to improve performance of deep neural networks for animal identification,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Using pseudo -labeling to improve performance of deep neural networks for animal identification,

Reference 21

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Observation 9525aa2c-d562-4281-b541-3fd7be361c71 · outbound

This paper cites Enhanced Lung Cancer Survival Prediction Using Semi -Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Enhanced Lung Cancer Survival Prediction Using Semi -Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.613652Z

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Observation b7a52c15-9143-46cd-99c7-d974072e1d91 · outbound

This paper cites Omics-based deep learning approaches for lung cancer decision-making and therapeutics development,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Omics-based deep learning approaches for lung cancer decision-making and therapeutics development,

Reference 23

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Observation 4f3d9fa9-57a1-4036-a1ac-1df7315eea91 · outbound

This paper cites Multi -omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Multi -omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy,

Reference 24

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Observation d5d022f9-997f-4b1f-ac33-3e178c032f42 · outbound

This paper cites Clinical features and predictors of outcome in patients with acute myocardial infarction complicated by out -of-hospital cardiac arrest,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Clinical features and predictors of outcome in patients with acute myocardial infarction complicated by out -of-hospital cardiac arrest,

Reference 25

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Observation 62966c16-5068-42e5-9e26-752f1ce888bb · outbound

This paper cites Using prognostic and predictive clinical features to make personalised survival prediction in advanced hepatocellular carcinoma patients undergoing sorafenib treatment,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Using prognostic and predictive clinical features to make personalised survival prediction in advanced hepatocellular carcinoma patients undergoing sorafenib treatment,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.553338Z

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Observation 928d5716-9b70-4185-b9b6-6716c0c20897 · outbound

This paper cites Lung cancer survival prediction using ensemble data mining on SEER data,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Lung cancer survival prediction using ensemble data mining on SEER data,

Reference 27

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Observation e8955f8b-3e52-4f50-8cf7-bf83eafd3486 · outbound

This paper cites An artificial intelligence model for predicting 1‐year survival of bone metastases in non‐small‐cell lung cancer patients based on XGBoost algorithm,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features An artificial intelligence model for predicting 1‐year survival of bone metastases in non‐small‐cell lung cancer patients based on XGBoost algorithm,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.522480Z

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Observation dbc95b9a-459b-414b-90e3-5f7cbd907cc9 · outbound

This paper cites A new scoring system for predicting survival in patients with non‐small cell lung cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A new scoring system for predicting survival in patients with non‐small cell lung cancer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.507758Z

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Observation fb8b0a42-cb79-40ae-9bbe-245ba0575cf9 · outbound

This paper cites Predicting lung cancer survival based on clinical data using machine learning: A review,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Predicting lung cancer survival based on clinical data using machine learning: A review,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.492900Z

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Observation 43cd1bf6-403d-4f86-9f93-e3a381efac12 · outbound

This paper cites Radiomics: Images Are More than Pictures, They Are Data,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Radiomics: Images Are More than Pictures, They Are Data,

Reference 31

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Observation 76cf224c-4bd5-42f2-8cb0-535ca7d20123 · outbound

This paper cites ViSERA: Visualized & Standardized Environment for Radiomics Analysis - A Shareable, Executable, and Reproducible Workflow Generator,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features ViSERA: Visualized & Standardized Environment for Radiomics Analysis - A Shareable, Executable, and Reproducible Workflow Generator,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.466889Z

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Observation f23c15cf-861f-4eb9-88d3-079e67778748 · outbound

This paper cites Structural and functional radiomics for lung cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Structural and functional radiomics for lung cancer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.452979Z

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Observation 80d7c4ef-1da3-4182-b25e-25a1f084fa55 · outbound

This paper cites Transfer -Learning Deep Radiomics and Hand -Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Transfer -Learning Deep Radiomics and Hand -Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.438598Z

Source-reported events for the cited work

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Observation b838b711-b4d6-44e6-9c3b-50bbf7411f3a · outbound

This paper cites Prediction of TNM Stage in Head and Neck Cancer Using Tensor Deep vs. Radiomics Features,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prediction of TNM Stage in Head and Neck Cancer Using Tensor Deep vs. Radiomics Features,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.423519Z

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Observation 58b7aa8d-0a31-4c8f-a3c9-ce5fdcf0ecbc · outbound

This paper cites Deep versus handcrafted tensor radiomics features: Application to survival prediction in head and neck cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Deep versus handcrafted tensor radiomics features: Application to survival prediction in head and neck cancer,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.408184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c15ca1ca-8bbb-497b-a1cb-fe55943ba3c7 · outbound

This paper cites Total-body [18F]FDG PET/CT scan has stepped into the arena: the faster, the better. Is it always true?,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Total-body [18F]FDG PET/CT scan has stepped into the arena: the faster, the better. Is it always true?,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.393499Z

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Observation cabf1720-ed8e-4411-8114-cdd0e7632176 · outbound

This paper cites Application of SPECT and PET / CT with computer -aided diagnosis in bone metastasis of prostate cancer: a review,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Application of SPECT and PET / CT with computer -aided diagnosis in bone metastasis of prostate cancer: a review,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.378240Z

Source-reported events for the cited work

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Observation c2c4f7ef-6301-489f-8b69-f88f3d7ca7a6 · outbound

This paper cites A comparison of machine learning methods for survival analysis of high - dimensional clinical data for dementia prediction,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A comparison of machine learning methods for survival analysis of high - dimensional clinical data for dementia prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.363029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54ede417-0bba-4a8c-9570-8b803f510527 · outbound

This paper cites A radiogenomic dataset of non -small cell lung cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A radiogenomic dataset of non -small cell lung cancer,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.347640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd57ba2b-3ff4-4792-b0e6-e167c7a89a8d · outbound

This paper cites The use of standardized uptake values for assessing FDG uptake with PET in oncology: a clinical perspective,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features The use of standardized uptake values for assessing FDG uptake with PET in oncology: a clinical perspective,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.332357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16727a30-5df4-4434-8394-96e7a415e748 · outbound

This paper cites Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.316757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9109cd2-a0f4-49e5-bd21-75adf105e8b4 · outbound

This paper cites A Decision -Theoretic Generalization of On -Line Learning and an Application to Boosting,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A Decision -Theoretic Generalization of On -Line Learning and an Application to Boosting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.301688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75d9879e-cf87-4b44-8c4d-948e93228b98 · outbound

This paper cites Random Decision Forests,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Random Decision Forests,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.286742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81fc0d96-dd8b-4a90-8175-309377e92820 · outbound

This paper cites Fix, Discriminatory analysis: nonparametric discrimination, consistency properties, vol.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Fix, Discriminatory analysis: nonparametric discrimination, consistency properties, vol

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.272060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d801a07-d6fa-4b42-8635-2b2481be9aae · outbound

This paper cites A Decision Tree Algorithm Combined with Linear Regression,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A Decision Tree Algorithm Combined with Linear Regression,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.257686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1028c67f-2fed-4ae4-9247-6f48c1bf8b9a · outbound

This paper cites Yan and X.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Yan and X

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.243157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15d2c523-6a0a-43ff-9892-0cab3aa0d130 · outbound

This paper cites Approximation by superpositions of a sigmoidal function,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Approximation by superpositions of a sigmoidal function,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.229530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93fb4b3a-e11b-403d-8933-cf71df610ac6 · outbound

This paper cites Support-vector networks,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Support-vector networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.214604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a51b9e9-0cfa-4dfa-a506-b42c1bf2d78a · outbound

This paper cites A Library for Time-to-Event Analysis Built on Top of scikit -learn,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A Library for Time-to-Event Analysis Built on Top of scikit -learn,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.199960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6108364d-20df-4d3e-8fc0-5b88e63b1d4c · outbound

This paper cites Gradient Boosted Models,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Gradient Boosted Models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.185278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d06822c-7721-496a-ad94-9b77dcfbba62 · outbound

This paper cites Random survival forests,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Random survival forests,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.170200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd63039b-8afa-4689-b24e-263bb6196532 · outbound

This paper cites Understanding survival analysis: Kaplan -Meier estimate,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Understanding survival analysis: Kaplan -Meier estimate,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.154412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 484b08bd-4814-42e8-bded-04642088f3ed · outbound

This paper cites A deep learning -based framework for lung cancer survival analysis with biomarker interpretation,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A deep learning -based framework for lung cancer survival analysis with biomarker interpretation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.139564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 090ec239-f428-4192-bad9-204aa26c1696 · outbound

This paper cites Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.123517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cab5fd85-3f7b-4e68-9994-eb1d37d0b081 · outbound

This paper cites Semi -supervised adversarial model for benign -malignant lung nodule classification on chest CT,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Semi -supervised adversarial model for benign -malignant lung nodule classification on chest CT,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.108177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04188e0f-da64-4243-aad9-ad88411c7bec · outbound

This paper cites Semi -Supervised Deep Transfer Learning for Benign -Malignant Diagnosis of Pulmonary Nodules in Chest CT Images,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Semi -Supervised Deep Transfer Learning for Benign -Malignant Diagnosis of Pulmonary Nodules in Chest CT Images,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.092928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 080d20aa-4db0-4285-8e9b-1e8df3e070b6 · outbound

This paper cites A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.077794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b47c4a34-9461-4397-a1c2-f40f71f9086d · outbound

This paper cites Censor -aware Semi-supervised Learning for Survival Time Prediction from Medical Images,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Censor -aware Semi-supervised Learning for Survival Time Prediction from Medical Images,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.062743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2e91e92-3668-4652-8555-86839351ca6f · outbound

This paper cites Predicting Survival Outcomes in the Presence of Unlabeled Data,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Predicting Survival Outcomes in the Presence of Unlabeled Data,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.048424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a2f23ad-84fd-4904-bf6f-06416e996fb2 · outbound

This paper cites 18F-FDG PET/CT Mean SUV and Metabolic Tumor Volume for Mean Survival Time in Non–Small Cell Lung Cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features 18F-FDG PET/CT Mean SUV and Metabolic Tumor Volume for Mean Survival Time in Non–Small Cell Lung Cancer,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.034551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a1eb9af-22b5-4776-ad5d-9b3e24e33652 · outbound

This paper cites Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.020317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94f0a778-abac-4967-92cc-a00d1f41d5e3 · outbound

This paper cites Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:23.005491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53590dab-6c72-4527-b10e-940d98abe202 · outbound

This paper cites Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.990839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08e99c0d-b986-4b9a-8a49-c6b34d9bfc4b · outbound

This paper cites Clinical application of 18F -fluorodeoxyglucose positron emission tomography/computed tomography radiomics -based machine learning analyses in the field of oncology,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Clinical application of 18F -fluorodeoxyglucose positron emission tomography/computed tomography radiomics -based machine learning analyses in the field of oncology,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.975739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4b05f74-6972-48ff-b097-f81c54ae9ac5 · outbound

This paper cites Pre -treatment 18F-FDG PET-based radiomics predict survival in resected non - small cell lung cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Pre -treatment 18F-FDG PET-based radiomics predict survival in resected non - small cell lung cancer,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.960347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c843c3c-97fa-4722-887f-d18172858ec6 · outbound

This paper cites Prediction of disease -free survival by the PET/CT radiomic signature in non - small cell lung cancer patients undergoing surgery,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prediction of disease -free survival by the PET/CT radiomic signature in non - small cell lung cancer patients undergoing surgery,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.943876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62332663-b63b-4f77-9eee-e899d4602619 · outbound

This paper cites an unresolved cited work.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:55:22.926149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e03c20a0-3edb-4ac9-aa6c-d2830d0a246c · outbound

This paper cites 18F -FDG PET radiomics -based machine learning model for differentiating pathological subtypes in locally advanced cervical cancer,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features 18F -FDG PET radiomics -based machine learning model for differentiating pathological subtypes in locally advanced cervical cancer,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.910613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c838fbd2-4f15-44f1-9b1b-7b4d66142d69 · outbound

This paper cites Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.894853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a13d798-6675-4679-8690-3f0136e6e461 · outbound

This paper cites Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.879043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d689dc3-a548-4e20-8ee2-182b4043c9b7 · outbound

This paper cites Handcrafted versus deep learning radiomics for prediction of cancer therapy response,.

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Handcrafted versus deep learning radiomics for prediction of cancer therapy response,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:22.862110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers