378 related articles for article (PubMed ID: 37926780)
1. 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]
2. [Progress in Precision Medicine of Radiomics in Abdominal Tumors Practice].
Jia X; Chen L; Liang J; Ma X; Zhou H; Zhang Y
Zhongguo Yi Liao Qi Xie Za Zhi; 2022 Mar; 46(2):187-190. PubMed ID: 35411748
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent Advances.
Barat M; Marchese U; Pellat A; Dohan A; Coriat R; Hoeffel C; Fishman EK; Cassinotto C; Chu L; Soyer P
Can Assoc Radiol J; 2023 May; 74(2):351-361. PubMed ID: 36065572
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence in the interpretation of breast cancer on MRI.
Sheth D; Giger ML
J Magn Reson Imaging; 2020 May; 51(5):1310-1324. PubMed ID: 31343790
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Radiomics in colorectal cancer patients.
Inchingolo R; Maino C; Cannella R; Vernuccio F; Cortese F; Dezio M; Pisani AR; Giandola T; Gatti M; Giannini V; Ippolito D; Faletti R
World J Gastroenterol; 2023 May; 29(19):2888-2904. PubMed ID: 37274803
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Emerging Trends in AI and Radiomics for Bladder, Kidney, and Prostate Cancer: A Critical Review.
Feretzakis G; Juliebø-Jones P; Tsaturyan A; Sener TE; Verykios VS; Karapiperis D; Bellos T; Katsimperis S; Angelopoulos P; Varkarakis I; Skolarikos A; Somani B; Tzelves L
Cancers (Basel); 2024 Feb; 16(4):. PubMed ID: 38398201
[TBL] [Abstract][Full Text] [Related]
10. CT and MRI of Gastrointestinal Stromal Tumors: New Trends and Perspectives.
Barat M; Pellat A; Dohan A; Hoeffel C; Coriat R; Soyer P
Can Assoc Radiol J; 2024 Feb; 75(1):107-117. PubMed ID: 37386745
[TBL] [Abstract][Full Text] [Related]
11. Research on texture images and radiomics in urology: a review of urological MR imaging applications.
Valeri A; Nguyen TA
Curr Opin Urol; 2023 Nov; 33(6):428-436. PubMed ID: 37727910
[TBL] [Abstract][Full Text] [Related]
12. Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
Alabi RO; Elmusrati M; Leivo I; Almangush A; Mäkitie AA
Int J Med Inform; 2024 Apr; 188():105464. PubMed ID: 38728812
[TBL] [Abstract][Full Text] [Related]
13. Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.
Chen X; Huo XF; Wu Z; Lu JJ
Chin Med Sci J; 2021 Sep; 36(3):196-203. PubMed ID: 34666872
[TBL] [Abstract][Full Text] [Related]
14. Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.
Satake H; Ishigaki S; Ito R; Naganawa S
Radiol Med; 2022 Jan; 127(1):39-56. PubMed ID: 34704213
[TBL] [Abstract][Full Text] [Related]
15. MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer.
Zhu X; Shao L; Liu Z; Liu Z; He J; Liu J; Ping H; Lu J
J Zhejiang Univ Sci B; 2023 Aug; 24(8):663-681. PubMed ID: 37551554
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence-driven assessment of radiological images for COVID-19.
Bouchareb Y; Moradi Khaniabadi P; Al Kindi F; Al Dhuhli H; Shiri I; Zaidi H; Rahmim A
Comput Biol Med; 2021 Sep; 136():104665. PubMed ID: 34343890
[TBL] [Abstract][Full Text] [Related]
17. How Radiomics Can Improve Breast Cancer Diagnosis and Treatment.
Pesapane F; De Marco P; Rapino A; Lombardo E; Nicosia L; Tantrige P; Rotili A; Bozzini AC; Penco S; Dominelli V; Trentin C; Ferrari F; Farina M; Meneghetti L; Latronico A; Abbate F; Origgi D; Carrafiello G; Cassano E
J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36835908
[TBL] [Abstract][Full Text] [Related]
18. Radiomics: an Introductory Guide to What It May Foretell.
Nougaret S; Tibermacine H; Tardieu M; Sala E
Curr Oncol Rep; 2019 Jun; 21(8):70. PubMed ID: 31240403
[TBL] [Abstract][Full Text] [Related]
19. A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.
Vicini S; Bortolotto C; Rengo M; Ballerini D; Bellini D; Carbone I; Preda L; Laghi A; Coppola F; Faggioni L
Radiol Med; 2022 Aug; 127(8):819-836. PubMed ID: 35771379
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
