These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 34754658)

  • 21. Machine Learning-Based Radiomics of the Optic Chiasm Predict Visual Outcome Following Pituitary Adenoma Surgery.
    Zhang Y; Chen C; Huang W; Cheng Y; Teng Y; Zhang L; Xu J
    J Pers Med; 2021 Sep; 11(10):. PubMed ID: 34683132
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness.
    Hectors SJ; Cherny M; Yadav KK; Beksaç AT; Thulasidass H; Lewis S; Davicioni E; Wang P; Tewari AK; Taouli B
    J Urol; 2019 Sep; 202(3):498-505. PubMed ID: 30958743
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of unenhanced lesion evolution in multiple sclerosis using radiomics-based models: a machine learning approach.
    Peng Y; Zheng Y; Tan Z; Liu J; Xiang Y; Liu H; Dai L; Xie Y; Wang J; Zeng C; Li Y
    Mult Scler Relat Disord; 2021 Aug; 53():102989. PubMed ID: 34052741
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
    Lim HK; Ha HI; Park SY; Han J
    PLoS One; 2021; 16(3):e0247330. PubMed ID: 33661911
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
    Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
    Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
    Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
    Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
    Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
    Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.
    Huang Y; Chen W; Zhang X; He S; Shao N; Shi H; Lin Z; Wu X; Li T; Lin H; Lin Y
    Front Bioeng Biotechnol; 2021; 9():662749. PubMed ID: 34295877
    [No Abstract]   [Full Text] [Related]  

  • 30. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
    Purkayastha S; Xiao Y; Jiao Z; Thepumnoeysuk R; Halsey K; Wu J; Tran TML; Hsieh B; Choi JW; Wang D; Vallières M; Wang R; Collins S; Feng X; Feldman M; Zhang PJ; Atalay M; Sebro R; Yang L; Fan Y; Liao WH; Bai HX
    Korean J Radiol; 2021 Jul; 22(7):1213-1224. PubMed ID: 33739635
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An investigation of machine learning methods in delta-radiomics feature analysis.
    Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
    PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
    [TBL] [Abstract][Full Text] [Related]  

  • 32. MRI-based radiomics signature for tumor grading of rectal carcinoma using random forest model.
    He B; Ji T; Zhang H; Zhu Y; Shu R; Zhao W; Wang K
    J Cell Physiol; 2019 Nov; 234(11):20501-20509. PubMed ID: 31074022
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of incident cardiovascular events using machine learning and CMR radiomics.
    Pujadas ER; Raisi-Estabragh Z; Szabo L; McCracken C; Morcillo CI; Campello VM; Martín-Isla C; Atehortua AM; Vago H; Merkely B; Maurovich-Horvat P; Harvey NC; Neubauer S; Petersen SE; Lekadir K
    Eur Radiol; 2023 May; 33(5):3488-3500. PubMed ID: 36512045
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture.
    Chen DS; Wang TF; Zhu JW; Zhu B; Wang ZL; Cao JG; Feng CH; Zhao JW
    Risk Manag Healthc Policy; 2021; 14():2657-2664. PubMed ID: 34188576
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI.
    Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C
    Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
    Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
    Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
    Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
    Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
    Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
    Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
    Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
    Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly.
    Fan Y; Jiang S; Hua M; Feng S; Feng M; Wang R
    Front Endocrinol (Lausanne); 2019; 10():588. PubMed ID: 31507537
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.