1. Emerging trends in the prediction of pathological tumour response in rectal cancer following neoadjuvant therapy
    Matthew Y. Wei et al, 2023, ANZ Journal of Surgery CrossRef
  2. Benefits of Adjuvant Chemotherapy for Clinical T3-4N0 Rectal Cancer After Preoperative Chemoradiotherapy
    Hyun Jin Bang et al, 2023, Chonnam Medical Journal CrossRef
  3. Radiomics in colorectal cancer
    Long Wu et al, 2023, iRADIOLOGY CrossRef
  4. Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer
    Giuseppe Filitto et al, 2022, Cancers CrossRef
  5. Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers
    Azadeh Tabari et al, 2022, Cancers CrossRef
  6. Predictive and Prognostic Value of Oncogene Mutations and Microsatellite Instability in Locally-Advanced Rectal Cancer Treated with Neoadjuvant Radiation-Based Therapy: A Systematic Review and Meta-Analysis
    Elena De Mattia et al, 2023, Cancers CrossRef
  7. Editorial for “Comparison of MRI and CT‐Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer”
    Po‐Ting Chen et al, 2023, Journal of Magnetic Resonance Imaging CrossRef
  8. Prediction of Glioma Grade by Tumor Heterogeneity Radiomic Analysis Based on Multiparametric MRI
    Shuangge Deng et al, 2023, International Journal of Computational Intelligence Systems CrossRef
  9. Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
    Yuan-Peng Zhang et al, 2023, Military Medical Research CrossRef
  10. Novel multiparametric MRI-based radiomics in preoperative prediction of perirectal fat invasion in rectal cancer
    Hui Wang et al, 2022, Abdominal Radiology CrossRef
  11. MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
    Arianna Defeudis et al, 2022, European Radiology Experimental CrossRef
  12. A nomogram based on MRI radiomics features of mesorectal fat for diagnosing T2- and T3-stage rectal cancer
    Bo Deng et al, 2024, Abdominal Radiology CrossRef
  13. Progress of MRI in predicting the circumferential resection margin of rectal cancer: A narrative review
    Yanqing Ma et al, 2024, Asian Journal of Surgery CrossRef