166 related articles for article (PubMed ID: 35925442)
21. The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT.
Monaco L; De Bernardi E; Bono F; Cortinovis D; Crivellaro C; Elisei F; L'Imperio V; Landoni C; Mathoux G; Musarra M; Pagni F; Turolla EA; Messa C; Guerra L
Eur J Nucl Med Mol Imaging; 2022 Aug; 49(10):3401-3411. PubMed ID: 35403860
[TBL] [Abstract][Full Text] [Related]
22. Value of [
Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q
Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039
[TBL] [Abstract][Full Text] [Related]
23. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
[TBL] [Abstract][Full Text] [Related]
24. A novel analytic approach for outcome prediction in diffuse large B-cell lymphoma by [
Zhang X; Chen L; Jiang H; He X; Feng L; Ni M; Ma M; Wang J; Zhang T; Wu S; Zhou R; Jin C; Zhang K; Qian W; Chen Z; Zhuo C; Zhang H; Tian M
Eur J Nucl Med Mol Imaging; 2022 Mar; 49(4):1298-1310. PubMed ID: 34651227
[TBL] [Abstract][Full Text] [Related]
25. Performance of
Zhang M; Bao Y; Rui W; Shangguan C; Liu J; Xu J; Lin X; Zhang M; Huang X; Zhou Y; Qu Q; Meng H; Qian D; Li B
Front Oncol; 2020; 10():568857. PubMed ID: 33134170
[TBL] [Abstract][Full Text] [Related]
26. Diagnostic value of baseline
Faudemer J; Aide N; Gac AC; Damaj G; Vilque JP; Lasnon C
Sci Rep; 2021 Dec; 11(1):23812. PubMed ID: 34893676
[TBL] [Abstract][Full Text] [Related]
27. A subregion-based positron emission tomography/computed tomography (PET/CT) radiomics model for the classification of non-small cell lung cancer histopathological subtypes.
Shen H; Chen L; Liu K; Zhao K; Li J; Yu L; Ye H; Zhu W
Quant Imaging Med Surg; 2021 Jul; 11(7):2918-2932. PubMed ID: 34249623
[TBL] [Abstract][Full Text] [Related]
28. Quantitative classification and radiomics of [
de Koster EJ; Noortman WA; Mostert JM; Booij J; Brouwer CB; de Keizer B; de Klerk JMH; Oyen WJG; van Velden FHP; de Geus-Oei LF; Vriens D;
Eur J Nucl Med Mol Imaging; 2022 Jun; 49(7):2174-2188. PubMed ID: 35138444
[TBL] [Abstract][Full Text] [Related]
29. Baseline
Aide N; Fruchart C; Nganoa C; Gac AC; Lasnon C
Eur Radiol; 2020 Aug; 30(8):4623-4632. PubMed ID: 32248365
[TBL] [Abstract][Full Text] [Related]
30. Radiomics analysis of [
Li Y; Zhang Y; Fang Q; Zhang X; Hou P; Wu H; Wang X
Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2599-2614. PubMed ID: 33416951
[TBL] [Abstract][Full Text] [Related]
31. Habitat Imaging-Based
Chen L; Liu K; Zhao X; Shen H; Zhao K; Zhu W
Front Oncol; 2021; 11():759897. PubMed ID: 34692548
[TBL] [Abstract][Full Text] [Related]
32. Radiomics Analysis of [
Ceriani L; Milan L; Virili C; Cascione L; Paone G; Trimboli P; Giovanella L
Thyroid; 2021 Jan; 31(1):88-95. PubMed ID: 32517585
[No Abstract] [Full Text] [Related]
33. Integrated CT Radiomics Features Could Enhance the Efficacy of
Zhou W; Huang Q; Wen J; Li M; Zhu Y; Liu Y; Dai Y; Guan Y; Zhou Z; Hua T
Front Oncol; 2021; 11():772703. PubMed ID: 34869011
[TBL] [Abstract][Full Text] [Related]
34. [
Noortman WA; Vriens D; de Geus-Oei LF; Slump CH; Aarntzen EH; van Berkel A; Timmers HJLM; van Velden FHP
Eur Radiol; 2022 Oct; 32(10):7227-7236. PubMed ID: 36001126
[TBL] [Abstract][Full Text] [Related]
35. Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [
de Jesus FM; Yin Y; Mantzorou-Kyriaki E; Kahle XU; de Haas RJ; Yakar D; Glaudemans AWJM; Noordzij W; Kwee TC; Nijland M
Eur J Nucl Med Mol Imaging; 2022 Apr; 49(5):1535-1543. PubMed ID: 34850248
[TBL] [Abstract][Full Text] [Related]
36. Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition.
Basler L; Gabryś HS; Hogan SA; Pavic M; Bogowicz M; Vuong D; Tanadini-Lang S; Förster R; Kudura K; Huellner MW; Dummer R; Guckenberger M; Levesque MP
Clin Cancer Res; 2020 Aug; 26(16):4414-4425. PubMed ID: 32253232
[TBL] [Abstract][Full Text] [Related]
37. The value of
Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z
Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381
[TBL] [Abstract][Full Text] [Related]
38. A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images.
Xu C; Feng J; Yue Y; Cheng W; He D; Qi S; Zhang G
Comput Methods Programs Biomed; 2024 Jan; 243():107872. PubMed ID: 37922655
[TBL] [Abstract][Full Text] [Related]
39. Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT.
Huang B; Sollee J; Luo YH; Reddy A; Zhong Z; Wu J; Mammarappallil J; Healey T; Cheng G; Azzoli C; Korogodsky D; Zhang P; Feng X; Li J; Yang L; Jiao Z; Bai HX
EBioMedicine; 2022 Aug; 82():104127. PubMed ID: 35810561
[TBL] [Abstract][Full Text] [Related]
40. [
Ferreira M; Lovinfosse P; Hermesse J; Decuypere M; Rousseau C; Lucia F; Schick U; Reinhold C; Robin P; Hatt M; Visvikis D; Bernard C; Leijenaar RTH; Kridelka F; Lambin P; Meyer PE; Hustinx R
Eur J Nucl Med Mol Imaging; 2021 Oct; 48(11):3432-3443. PubMed ID: 33772334
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
