271 related articles for article (PubMed ID: 37504498)
1. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
[TBL] [Abstract][Full Text] [Related]
2. Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases.
Taghavi M; Trebeschi S; Simões R; Meek DB; Beckers RCJ; Lambregts DMJ; Verhoef C; Houwers JB; van der Heide UA; Beets-Tan RGH; Maas M
Abdom Radiol (NY); 2021 Jan; 46(1):249-256. PubMed ID: 32583138
[TBL] [Abstract][Full Text] [Related]
3. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases.
Taghavi M; Staal F; Gomez Munoz F; Imani F; Meek DB; Simões R; Klompenhouwer LG; van der Heide UA; Beets-Tan RGH; Maas M
Cardiovasc Intervent Radiol; 2021 Jun; 44(6):913-920. PubMed ID: 33506278
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratification.
Wang Q; Nilsson H; Xu K; Wei X; Chen D; Zhao D; Hu X; Wang A; Bai G
Eur J Radiol; 2024 Jun; 175():111459. PubMed ID: 38636408
[TBL] [Abstract][Full Text] [Related]
6. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment.
Granata V; Fusco R; De Muzio F; Brunese MC; Setola SV; Ottaiano A; Cardone C; Avallone A; Patrone R; Pradella S; Miele V; Tatangelo F; Cutolo C; Maggialetti N; Caruso D; Izzo F; Petrillo A
Radiol Med; 2023 Nov; 128(11):1310-1332. PubMed ID: 37697033
[TBL] [Abstract][Full Text] [Related]
7. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
8. Diffusion-weighted imaging-based radiomics model using automatic machine learning to differentiate cerebral cystic metastases from brain abscesses.
Cui L; Qin Z; Sun S; Feng W; Hou M; Yu D
J Cancer Res Clin Oncol; 2024 Mar; 150(3):132. PubMed ID: 38492096
[TBL] [Abstract][Full Text] [Related]
9. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
10. A CT-based radiomics nomogram for predicting histopathologic growth patterns of colorectal liver metastases.
Sun C; Liu X; Sun J; Dong L; Wei F; Bao C; Zhong J; Li Y
J Cancer Res Clin Oncol; 2023 Sep; 149(12):9543-9555. PubMed ID: 37221440
[TBL] [Abstract][Full Text] [Related]
11. A radiomics-based model can predict recurrence-free survival of hepatocellular carcinoma after curative ablation.
Peng W; Jiang X; Zhang W; Hu J; Zhang Y; Zhang L
Asian J Surg; 2023 Jul; 46(7):2689-2696. PubMed ID: 36351862
[TBL] [Abstract][Full Text] [Related]
12. CT-based radiomics for the identification of colorectal cancer liver metastases sensitive to first-line irinotecan-based chemotherapy.
Qi W; Yang J; Zheng L; Lu Y; Liu R; Ju Y; Niu T; Wang D
Med Phys; 2023 May; 50(5):2705-2714. PubMed ID: 36841949
[TBL] [Abstract][Full Text] [Related]
13. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
14. Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.
Kang NG; Suh YJ; Han K; Kim YJ; Choi BW
Korean J Radiol; 2021 Mar; 22(3):334-343. PubMed ID: 33236537
[TBL] [Abstract][Full Text] [Related]
15. Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning.
Xu X; Zhang J; Yang K; Wang Q; Chen X; Xu B
Brain Behav; 2021 May; 11(5):e02085. PubMed ID: 33624945
[TBL] [Abstract][Full Text] [Related]
16. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
Yang X; Qiu H; Wang L; Wang X
J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
[TBL] [Abstract][Full Text] [Related]
17. The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer.
Mühlberg A; Holch JW; Heinemann V; Huber T; Moltz J; Maurus S; Jäger N; Liu L; Froelich MF; Katzmann A; Gresser E; Taubmann O; Sühling M; Nörenberg D
Eur Radiol; 2021 Feb; 31(2):834-846. PubMed ID: 32851450
[TBL] [Abstract][Full Text] [Related]
18. CT radiomics models are unable to predict new liver metastasis after successful thermal ablation of colorectal liver metastases.
Taghavi M; Staal FC; Simões R; Hong EK; Lambregts DM; van der Heide UA; Beets-Tan RG; Maas M
Acta Radiol; 2023 Jan; 64(1):5-12. PubMed ID: 34918955
[TBL] [Abstract][Full Text] [Related]
19. Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?
Pasini G; Stefano A; Russo G; Comelli A; Marinozzi F; Bini F
Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980475
[TBL] [Abstract][Full Text] [Related]
20. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
