182 related articles for article (PubMed ID: 38102586)
21. Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features.
Soufi M; Arimura H; Nagami N
Med Phys; 2018 Nov; 45(11):5116-5128. PubMed ID: 30230556
[TBL] [Abstract][Full Text] [Related]
22. Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy.
Avanzo M; Gagliardi V; Stancanello J; Blanck O; Pirrone G; El Naqa I; Revelant A; Sartor G
Med Phys; 2021 Oct; 48(10):6257-6269. PubMed ID: 34415574
[TBL] [Abstract][Full Text] [Related]
23. Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.
Nair JKR; Saeed UA; McDougall CC; Sabri A; Kovacina B; Raidu BVS; Khokhar RA; Probst S; Hirsh V; Chankowsky J; Van Kempen LC; Taylor J
Can Assoc Radiol J; 2021 Feb; 72(1):109-119. PubMed ID: 32063026
[TBL] [Abstract][Full Text] [Related]
24. A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer.
Gong J; Bao X; Wang T; Liu J; Peng W; Shi J; Wu F; Gu Y
Oncoimmunology; 2022; 11(1):2028962. PubMed ID: 35096486
[TBL] [Abstract][Full Text] [Related]
25. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
26. A Multi-parametric MRI-Based Radiomics Signature and a Practical ML Model for Stratifying Glioblastoma Patients Based on Survival Toward Precision Oncology.
Osman AFI
Front Comput Neurosci; 2019; 13():58. PubMed ID: 31507398
[No Abstract] [Full Text] [Related]
27. Radiomics for the non-invasive prediction of PD-L1 expression in patients with brain metastases secondary to non-small cell lung cancer.
Meißner AK; Gutsche R; Galldiks N; Kocher M; Jünger ST; Eich ML; Nogova L; Araceli T; Schmidt NO; Ruge MI; Goldbrunner R; Proescholdt M; Grau S; Lohmann P
J Neurooncol; 2023 Jul; 163(3):597-605. PubMed ID: 37382806
[TBL] [Abstract][Full Text] [Related]
28. Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study.
Sun J; Li F; Yang J; Lin C; Zhou X; Liu N; Zhang B; Song G; Wang W; Huang C; Song Z; Shi L
J Cancer Res Clin Oncol; 2023 Aug; 149(10):7341-7353. PubMed ID: 36928998
[TBL] [Abstract][Full Text] [Related]
29. CT-based radiomics in predicting pathological response in non-small cell lung cancer patients receiving neoadjuvant immunotherapy.
Lin Q; Wu HJ; Song QS; Tang YK
Front Oncol; 2022; 12():937277. PubMed ID: 36267975
[TBL] [Abstract][Full Text] [Related]
30. Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma.
Amini M; Nazari M; Shiri I; Hajianfar G; Deevband MR; Abdollahi H; Arabi H; Rahmim A; Zaidi H
Phys Med Biol; 2021 Oct; 66(20):. PubMed ID: 34544053
[TBL] [Abstract][Full Text] [Related]
31. A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics.
Wang X; Duan H; Li X; Ye X; Huang G; Nie S
Phys Med Biol; 2020 Feb; 65(4):045006. PubMed ID: 31962301
[TBL] [Abstract][Full Text] [Related]
32. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
[TBL] [Abstract][Full Text] [Related]
33. A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma.
Lin P; Wen DY; Chen L; Li X; Li SH; Yan HB; He RQ; Chen G; He Y; Yang H
Eur Radiol; 2020 Jan; 30(1):547-557. PubMed ID: 31396730
[TBL] [Abstract][Full Text] [Related]
34. Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer.
Tang X; Xu X; Han Z; Bai G; Wang H; Liu Y; Du P; Liang Z; Zhang J; Lu H; Yin H
Biomed Eng Online; 2020 Jan; 19(1):5. PubMed ID: 31964407
[TBL] [Abstract][Full Text] [Related]
35. Multiblock Discriminant Analysis of Integrative
Lee SH; Kao GD; Feigenberg SJ; Dorsey JF; Frick MA; Jean-Baptiste S; Uche CZ; Cengel KA; Levin WP; Berman AT; Aggarwal C; Fan Y; Xiao Y
Int J Radiat Oncol Biol Phys; 2021 Aug; 110(5):1451-1465. PubMed ID: 33662459
[TBL] [Abstract][Full Text] [Related]
36. Radiomic Detection of EGFR Mutations in NSCLC.
Rossi G; Barabino E; Fedeli A; Ficarra G; Coco S; Russo A; Adamo V; Buemi F; Zullo L; Dono M; De Luca G; Longo L; Dal Bello MG; Tagliamento M; Alama A; Cittadini G; Pronzato P; Genova C
Cancer Res; 2021 Feb; 81(3):724-731. PubMed ID: 33148663
[TBL] [Abstract][Full Text] [Related]
37. Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients.
Sugai Y; Kadoya N; Tanaka S; Tanabe S; Umeda M; Yamamoto T; Takeda K; Dobashi S; Ohashi H; Takeda K; Jingu K
Radiat Oncol; 2021 Apr; 16(1):80. PubMed ID: 33931085
[TBL] [Abstract][Full Text] [Related]
38. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
Wang Y; Shen L; Jin J; Wang G
Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
[TBL] [Abstract][Full Text] [Related]
39. Assessing the robustness of radiomics/deep learning approach in the identification of efficacy of anti-PD-1 treatment in advanced or metastatic non-small cell lung carcinoma patients.
Ren Q; Xiong F; Zhu P; Chang X; Wang G; He N; Jin Q
Front Oncol; 2022; 12():952749. PubMed ID: 35992867
[TBL] [Abstract][Full Text] [Related]
40. Value of pre-therapy
Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J
Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
