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Liesbeth M Hondelink

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Medrxiv : the Preprint Server for Health Sciences|May 3, 2023
Non-Metastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Breast Cancer patients at Risk for MetastasisQingyuan Song, Kristen E Muller, Liesbeth M Hondelink, et al.
Seminars in Cancer Biology|June 18, 2023
Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectivesThom Doeleman, Liesbeth M Hondelink, Maarten H Vermeer, et al.
The American Journal of Pathology|November 29, 2023
Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for MetastasisQingyuan Song, Kristen E Muller, Liesbeth M Hondelink, et al.
Histopathology|November 17, 2021
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 cancerLiesbeth M Hondelink, Melek Hüyük, Pieter E Postmus, et al.
European Journal of Cancer (Oxford, England : 1990)|January 13, 2023
Prevalence, clinical and molecular characteristics of early stage EGFR-mutated lung cancer in a real-life West-European cohort: Implications for adjuvant therapyLiesbeth M Hondelink, Sophie M Ernst, Peggy Atmodimedjo, et al.
JTO Clinical and Research Reports|December 1, 2021
Real-World Approach for Molecular Analysis of Acquired EGFR Tyrosine Kinase Inhibitor Resistance Mechanisms in NSCLCLiesbeth M Hondelink, Merel Jebbink, Jan H von der Thüsen, et al.
The Journal of Investigative Dermatology|September 21, 2024
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 StudyThom Doeleman, Siemen Brussee, Liesbeth M Hondelink, et al.
European Journal of Cancer (Oxford, England : 1990)|August 7, 2022
The sensitivity of pan-TRK immunohistochemistry in solid tumours: A meta-analysisLiesbeth M Hondelink, Anne M R Schrader, Golzar Asri Aghmuni, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|February 5, 2020
Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA SequencingDanielle Cohen, Liesbeth M Hondelink, Nienke Solleveld-Westerink, et al.
Lung Cancer (Amsterdam, Netherlands)|March 13, 2022
The impact of a pathologist's personality on the interobserver variability and diagnostic accuracy of predictive PD-L1 immunohistochemistry in lung cancerRogier Butter, Liesbeth M Hondelink, Lisette van Elswijk, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medrxiv : the Preprint Server for Health Sciences|May 3, 2023
Non-Metastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Breast Cancer patients at Risk for MetastasisQingyuan Song, Kristen E Muller, Liesbeth M Hondelink, et al.
Seminars in Cancer Biology|June 18, 2023
Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectivesThom Doeleman, Liesbeth M Hondelink, Maarten H Vermeer, et al.
The American Journal of Pathology|November 29, 2023
Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for MetastasisQingyuan Song, Kristen E Muller, Liesbeth M Hondelink, et al.
Histopathology|November 17, 2021
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 cancerLiesbeth M Hondelink, Melek Hüyük, Pieter E Postmus, et al.
European Journal of Cancer (Oxford, England : 1990)|January 13, 2023
Prevalence, clinical and molecular characteristics of early stage EGFR-mutated lung cancer in a real-life West-European cohort: Implications for adjuvant therapyLiesbeth M Hondelink, Sophie M Ernst, Peggy Atmodimedjo, et al.
JTO Clinical and Research Reports|December 1, 2021
Real-World Approach for Molecular Analysis of Acquired EGFR Tyrosine Kinase Inhibitor Resistance Mechanisms in NSCLCLiesbeth M Hondelink, Merel Jebbink, Jan H von der Thüsen, et al.
The Journal of Investigative Dermatology|September 21, 2024
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 StudyThom Doeleman, Siemen Brussee, Liesbeth M Hondelink, et al.
European Journal of Cancer (Oxford, England : 1990)|August 7, 2022
The sensitivity of pan-TRK immunohistochemistry in solid tumours: A meta-analysisLiesbeth M Hondelink, Anne M R Schrader, Golzar Asri Aghmuni, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|February 5, 2020
Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA SequencingDanielle Cohen, Liesbeth M Hondelink, Nienke Solleveld-Westerink, et al.
Lung Cancer (Amsterdam, Netherlands)|March 13, 2022
The impact of a pathologist's personality on the interobserver variability and diagnostic accuracy of predictive PD-L1 immunohistochemistry in lung cancerRogier Butter, Liesbeth M Hondelink, Lisette van Elswijk, et al.
Pageof 1