Pingjun Chen
The University of Texas MD Anderson Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Lung Cancer Diagnosis and Treatment, Cancer Immunotherapy and Biomarkers, Cell Image Analysis Techniques
Most-Cited Works
- → Pathologist-level interpretable whole-slide cancer diagnosis with deep learning(2019)313 cited
- → Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss(2019)274 cited
- → Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study(2023)104 cited
- → Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights(2024)69 cited
- → TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References(2017)66 cited
- → Knee Osteoarthritis Severity Grading Dataset(2018)59 cited
- → Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancer(2023)53 cited
- → Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning(2020)47 cited
- → Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays(2018)46 cited
- → Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine(2019)41 cited