256 related articles for article (PubMed ID: 37632823)
1. An overview of ultrasound-derived radiomics and deep learning in liver.
Zhang D; Zhang XY; Duan YY; Dietrich CF; Cui XW; Zhang CX
Med Ultrason; 2023 Dec; 25(4):445-452. PubMed ID: 37632823
[TBL] [Abstract][Full Text] [Related]
2. MRI-Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges.
Xia T; Zhao B; Li B; Lei Y; Song Y; Wang Y; Tang T; Ju S
J Magn Reson Imaging; 2024 Mar; 59(3):767-783. PubMed ID: 37647155
[TBL] [Abstract][Full Text] [Related]
3. Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review.
Wang L; Zhang L; Jiang B; Zhao K; Zhang Y; Xie X
Br J Radiol; 2022 Aug; 95(1136):20211136. PubMed ID: 35816550
[TBL] [Abstract][Full Text] [Related]
4. Radiomics and deep learning in liver diseases.
Sung YS; Park B; Park HJ; Lee SS
J Gastroenterol Hepatol; 2021 Mar; 36(3):561-568. PubMed ID: 33709608
[TBL] [Abstract][Full Text] [Related]
5. Radiomics and Deep Learning: Hepatic Applications.
Park HJ; Park B; Lee SS
Korean J Radiol; 2020 Apr; 21(4):387-401. PubMed ID: 32193887
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence in medical imaging of the liver.
Zhou LQ; Wang JY; Yu SY; Wu GG; Wei Q; Deng YB; Wu XL; Cui XW; Dietrich CF
World J Gastroenterol; 2019 Feb; 25(6):672-682. PubMed ID: 30783371
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application.
Meng Y; Yang Y; Hu M; Zhang Z; Zhou X
Semin Cancer Biol; 2023 Oct; 95():75-87. PubMed ID: 37499847
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
[TBL] [Abstract][Full Text] [Related]
9. Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives.
Feng B; Ma XH; Wang S; Cai W; Liu XB; Zhao XM
World J Gastroenterol; 2021 Aug; 27(32):5341-5350. PubMed ID: 34539136
[TBL] [Abstract][Full Text] [Related]
10. The transformational potential of molecular radiomics.
Currie G; Hawk KE; Rohren E
J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):77-88. PubMed ID: 36238997
[TBL] [Abstract][Full Text] [Related]
11. Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging.
Baeßler B; Engelhardt S; Hekalo A; Hennemuth A; Hüllebrand M; Laube A; Scherer C; Tölle M; Wech T
Circ Cardiovasc Imaging; 2024 Jun; 17(6):e015490. PubMed ID: 38889216
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
Currie G; Hawk KE; Rohren E; Vial A; Klein R
J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
[TBL] [Abstract][Full Text] [Related]
13. AI applications to medical images: From machine learning to deep learning.
Castiglioni I; Rundo L; Codari M; Di Leo G; Salvatore C; Interlenghi M; Gallivanone F; Cozzi A; D'Amico NC; Sardanelli F
Phys Med; 2021 Mar; 83():9-24. PubMed ID: 33662856
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence in liver ultrasound.
Cao LL; Peng M; Xie X; Chen GQ; Huang SY; Wang JY; Jiang F; Cui XW; Dietrich CF
World J Gastroenterol; 2022 Jul; 28(27):3398-3409. PubMed ID: 36158262
[TBL] [Abstract][Full Text] [Related]
15. A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging.
Yao L; Zhang Z; Keles E; Yazici C; Tirkes T; Bagci U
Curr Opin Gastroenterol; 2023 Sep; 39(5):436-447. PubMed ID: 37523001
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
18. Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know.
Wagner MW; Namdar K; Biswas A; Monah S; Khalvati F; Ertl-Wagner BB
Neuroradiology; 2021 Dec; 63(12):1957-1967. PubMed ID: 34537858
[TBL] [Abstract][Full Text] [Related]
19. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics.
Kaneko M; Magoulianitis V; Ramacciotti LS; Raman A; Paralkar D; Chen A; Chu TN; Yang Y; Xue J; Yang J; Liu J; Jadvar DS; Gill K; Cacciamani GE; Nikias CL; Duddalwar V; Jay Kuo CC; Gill IS; Abreu AL
Urol Clin North Am; 2024 Feb; 51(1):1-13. PubMed ID: 37945095
[TBL] [Abstract][Full Text] [Related]
20. Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors.
Gündüz E; Alçin ÖF; Kizilay A; Piazza C
Curr Opin Otolaryngol Head Neck Surg; 2022 Apr; 30(2):107-113. PubMed ID: 34907957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
