Matthew P. Lungren
Microsoft (United States)(US)University of California, San Francisco(US)University of California System(US)University of San Francisco(US)Stanford University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI, AI in cancer detection, Radiology practices and education
Most-Cited Works
- → MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports(2019)1,504 cited
- → CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep\n Learning(2017)1,447 cited
- → Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists(2018)1,330 cited
- → Preparing Medical Imaging Data for Machine Learning(2020)926 cited
- → TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers(2024)780 cited
- → Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines(2020)734 cited