482 related articles for article (PubMed ID: 36612061)
1. Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers.
Tabari A; Chan SM; Omar OMF; Iqbal SI; Gee MS; Daye D
Cancers (Basel); 2022 Dec; 15(1):. PubMed ID: 36612061
[TBL] [Abstract][Full Text] [Related]
2. Radiomics in liver diseases: Current progress and future opportunities.
Wei J; Jiang H; Gu D; Niu M; Fu F; Han Y; Song B; Tian J
Liver Int; 2020 Sep; 40(9):2050-2063. PubMed ID: 32515148
[TBL] [Abstract][Full Text] [Related]
3. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview.
Wong PK; Chan IN; Yan HM; Gao S; Wong CH; Yan T; Yao L; Hu Y; Wang ZR; Yu HH
World J Gastroenterol; 2022 Dec; 28(45):6363-6379. PubMed ID: 36533112
[TBL] [Abstract][Full Text] [Related]
4. Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications.
Preuss K; Thach N; Liang X; Baine M; Chen J; Zhang C; Du H; Yu H; Lin C; Hollingsworth MA; Zheng D
Cancers (Basel); 2022 Mar; 14(7):. PubMed ID: 35406426
[TBL] [Abstract][Full Text] [Related]
5. CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence.
Barat M; Pellat A; Hoeffel C; Dohan A; Coriat R; Fishman EK; Nougaret S; Chu L; Soyer P
Jpn J Radiol; 2024 Mar; 42(3):246-260. PubMed ID: 37926780
[TBL] [Abstract][Full Text] [Related]
6. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.
Liu Z; Wang S; Dong D; Wei J; Fang C; Zhou X; Sun K; Li L; Li B; Wang M; Tian J
Theranostics; 2019; 9(5):1303-1322. PubMed ID: 30867832
[TBL] [Abstract][Full Text] [Related]
7. [Application and challenge of radiomics technique in the era of precision medicine for hepatobiliary disease].
Ji GW; Wang K; Xia YX; Li XC; Wang XH
Zhonghua Wai Ke Za Zhi; 2020 Oct; 58(10):749-753. PubMed ID: 32993260
[TBL] [Abstract][Full Text] [Related]
8. A deep look into radiomics.
Scapicchio C; Gabelloni M; Barucci A; Cioni D; Saba L; Neri E
Radiol Med; 2021 Oct; 126(10):1296-1311. PubMed ID: 34213702
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.
Zhang X; Zhang Y; Zhang G; Qiu X; Tan W; Yin X; Liao L
Front Oncol; 2022; 12():773840. PubMed ID: 35251962
[TBL] [Abstract][Full Text] [Related]
10. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal V; Carmicheal J; Dhaliwal A; Jain M; Kaur S; Batra SK
Cancer Lett; 2020 Jan; 469():228-237. PubMed ID: 31629933
[TBL] [Abstract][Full Text] [Related]
11. Application of radiomics and machine learning in head and neck cancers.
Peng Z; Wang Y; Wang Y; Jiang S; Fan R; Zhang H; Jiang W
Int J Biol Sci; 2021; 17(2):475-486. PubMed ID: 33613106
[TBL] [Abstract][Full Text] [Related]
12. Machine and deep learning methods for radiomics.
Avanzo M; Wei L; Stancanello J; Vallières M; Rao A; Morin O; Mattonen SA; El Naqa I
Med Phys; 2020 Jun; 47(5):e185-e202. PubMed ID: 32418336
[TBL] [Abstract][Full Text] [Related]
13. Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
Dercle L; Henry T; Carré A; Paragios N; Deutsch E; Robert C
Methods; 2021 Apr; 188():44-60. PubMed ID: 32697964
[TBL] [Abstract][Full Text] [Related]
14. Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.
Russo G; Stefano A; Alongi P; Comelli A; Catalfamo B; Mantarro C; Longo C; Altieri R; Certo F; Cosentino S; Sabini MG; Richiusa S; Barbagallo GMV; Ippolito M
Curr Oncol; 2021 Dec; 28(6):5318-5331. PubMed ID: 34940083
[TBL] [Abstract][Full Text] [Related]
15. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
16. Potential and limitations of radiomics in neuro-oncology.
Taha B; Boley D; Sun J; Chen C
J Clin Neurosci; 2021 Aug; 90():206-211. PubMed ID: 34275550
[TBL] [Abstract][Full Text] [Related]
17. Radiomics: A primer for the radiation oncologist.
Bibault JE; Xing L; Giraud P; El Ayachy R; Giraud N; Decazes P; Burgun A; Giraud P
Cancer Radiother; 2020 Aug; 24(5):403-410. PubMed ID: 32265157
[TBL] [Abstract][Full Text] [Related]
18. Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers.
Giraud P; Giraud P; Gasnier A; El Ayachy R; Kreps S; Foy JP; Durdux C; Huguet F; Burgun A; Bibault JE
Front Oncol; 2019; 9():174. PubMed ID: 30972291
[No Abstract] [Full Text] [Related]
19. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges.
Elhalawani H; Lin TA; Volpe S; Mohamed ASR; White AL; Zafereo J; Wong AJ; Berends JE; AboHashem S; Williams B; Aymard JM; Kanwar A; Perni S; Rock CD; Cooksey L; Campbell S; Yang P; Nguyen K; Ger RB; Cardenas CE; Fave XJ; Sansone C; Piantadosi G; Marrone S; Liu R; Huang C; Yu K; Li T; Yu Y; Zhang Y; Zhu H; Morris JS; Baladandayuthapani V; Shumway JW; Ghosh A; Pöhlmann A; Phoulady HA; Goyal V; Canahuate G; Marai GE; Vock D; Lai SY; Mackin DS; Court LE; Freymann J; Farahani K; Kaplathy-Cramer J; Fuller CD
Front Oncol; 2018; 8():294. PubMed ID: 30175071
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms.
Wang Y; Zhang L; Qi L; Yi X; Li M; Zhou M; Chen D; Xiao Q; Wang C; Pang Y; Xu J; Deng H; Liu L; Guan X
J Oncol; 2021; 2021():8615450. PubMed ID: 34671399
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]