BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

300 related articles for article (PubMed ID: 37526865)

  • 21. Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [
    Nakajo M; Jinguji M; Tani A; Kikuno H; Hirahara D; Togami S; Kobayashi H; Yoshiura T
    Mol Imaging Biol; 2021 Oct; 23(5):756-765. PubMed ID: 33763816
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23.
    Godefroy T; Frécon G; Asquier-Khati A; Mateus D; Lecomte R; Rizkallah M; Piriou N; Jamet B; Le Tourneau T; Pallardy A; Boutoille D; Eugène T; Carlier T
    JACC Cardiovasc Imaging; 2023 Jul; 16(7):951-961. PubMed ID: 37052569
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Distinction of Lymphoma from Sarcoidosis on
    Lovinfosse P; Ferreira M; Withofs N; Jadoul A; Derwael C; Frix AN; Guiot J; Bernard C; Diep AN; Donneau AF; Lejeune M; Bonnet C; Vos W; Meyer PE; Hustinx R
    J Nucl Med; 2022 Dec; 63(12):1933-1940. PubMed ID: 35589406
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT.
    Huang B; Sollee J; Luo YH; Reddy A; Zhong Z; Wu J; Mammarappallil J; Healey T; Cheng G; Azzoli C; Korogodsky D; Zhang P; Feng X; Li J; Yang L; Jiao Z; Bai HX
    EBioMedicine; 2022 Aug; 82():104127. PubMed ID: 35810561
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
    Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
    Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Usefulness of Machine Learning-Based Evaluation of Clinical and Pretreatment [
    Nakajo M; Kawaji K; Nagano H; Jinguji M; Mukai A; Kawabata H; Tani A; Hirahara D; Yamashita M; Yoshiura T
    Mol Imaging Biol; 2023 Apr; 25(2):303-313. PubMed ID: 35864282
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multicentric development and evaluation of
    Lucia F; Bourbonne V; Pleyers C; Dupré PF; Miranda O; Visvikis D; Pradier O; Abgral R; Mervoyer A; Classe JM; Rousseau C; Vos W; Hermesse J; Gennigens C; De Cuypere M; Kridelka F; Schick U; Hatt M; Hustinx R; Lovinfosse P
    Eur J Nucl Med Mol Imaging; 2023 Jul; 50(8):2514-2528. PubMed ID: 36892667
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 2-[
    Manafi-Farid R; Karamzade-Ziarati N; Vali R; Mottaghy FM; Beheshti M
    Methods; 2021 Apr; 188():84-97. PubMed ID: 32497604
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Bone marrow segmentation and radiomics analysis of [
    Milara E; Gómez-Grande A; Tomás-Soler S; Seiffert AP; Alonso R; Gómez EJ; Martínez-López J; Sánchez-González P
    Comput Methods Programs Biomed; 2022 Oct; 225():107083. PubMed ID: 36044803
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A different perspective on
    Vural Topuz Ö; Aksu A; Yılmaz Özgüven MB
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2023; 42(6):359-366. PubMed ID: 37088299
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Performance of F-18 FDG PET/CT for predicting malignant potential of gastrointestinal stromal tumors: A systematic review and meta-analysis.
    Kim SJ; Lee SW
    J Gastroenterol Hepatol; 2018 Mar; 33(3):576-582. PubMed ID: 28994187
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer.
    Ruan D; Fang J; Teng X
    Q J Nucl Med Mol Imaging; 2024 Mar; 68(1):70-83. PubMed ID: 35420272
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine learning-based diagnostic method of pre-therapeutic
    Yoo J; Cheon M; Park YJ; Hyun SH; Zo JI; Um SW; Won HH; Lee KH; Kim BT; Choi JY
    Eur Radiol; 2021 Jun; 31(6):4184-4194. PubMed ID: 33241521
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Machine learning based evaluation of clinical and pretreatment
    Nakajo M; Jinguji M; Tani A; Yano E; Hoo CK; Hirahara D; Togami S; Kobayashi H; Yoshiura T
    Abdom Radiol (NY); 2022 Feb; 47(2):838-847. PubMed ID: 34821963
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A Machine Learning Approach Using [
    Park YJ; Park YS; Kim ST; Hyun SH
    Mol Imaging Biol; 2023 Oct; 25(5):897-910. PubMed ID: 37395887
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Indirect comparison of the diagnostic performance of
    Hu X; Li D; Liang Z; Liao Y; Yang L; Wang R; Wang P; Cai J
    BMC Cancer; 2021 Oct; 21(1):1080. PubMed ID: 34615498
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomics analysis of [
    Li Y; Zhang Y; Fang Q; Zhang X; Hou P; Wu H; Wang X
    Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2599-2614. PubMed ID: 33416951
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Radiomics Analysis of [
    Ceriani L; Milan L; Virili C; Cascione L; Paone G; Trimboli P; Giovanella L
    Thyroid; 2021 Jan; 31(1):88-95. PubMed ID: 32517585
    [No Abstract]   [Full Text] [Related]  

  • 40. Role of
    Dolci C; Ceppi L; Guerra L; Crivellaro C; Lamanna M; Adorni M; Elisei F; Bonazzi CM; Sina F; Fruscio R; Messa C
    Int J Gynecol Cancer; 2019 Oct; 29(8):1298-1303. PubMed ID: 31366569
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.