Liesbeth M. Hondelink
Leiden University Medical Center(NL)
Publications by Year
Research Areas
Lung Cancer Treatments and Mutations, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Cutaneous lymphoproliferative disorders research, Cervical Cancer and HPV Research
Most-Cited Works
- → Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA Sequencing(2020)119 cited
- → Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer(2021)47 cited
- → The sensitivity of pan-TRK immunohistochemistry in solid tumours: A meta-analysis(2022)31 cited
- → The impact of a pathologist’s personality on the interobserver variability and diagnostic accuracy of predictive PD-L1 immunohistochemistry in lung cancer(2022)30 cited
- → Prevalence, clinical and molecular characteristics of early stage EGFR-mutated lung cancer in a real-life West-European cohort: Implications for adjuvant therapy(2022)27 cited
- → Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectives(2023)24 cited
- → Masked pre-training of transformers for histology image analysis(2024)20 cited
- → Real-World Approach for Molecular Analysis of Acquired EGFR Tyrosine Kinase Inhibitor Resistance Mechanisms in NSCLC(2021)8 cited
- → Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis(2023)5 cited
- → Deep Learning–Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study(2024)3 cited