Kristine Pysarenko
NYU Langone Health(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, MRI in cancer diagnosis, Breast Lesions and Carcinomas, Radiology practices and education
Most-Cited Works
- → Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening(2019)655 cited
- → Evaluation of a known breast cancer using an abbreviated breast MRI protocol: Correlation of imaging characteristics and pathology with lesion detection and conspicuity(2016)147 cited
- → Comparison of Whole-Body18F FDG PET/MR Imaging and Whole-Body18F FDG PET/CT in Terms of Lesion Detection and Radiation Dose in Patients with Breast Cancer(2016)123 cited
- → Improving breast cancer diagnostics with deep learning for MRI(2022)119 cited
- → Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening(2019)69 cited
- → Inter- and Intrareader Agreement for Categorization of Background Parenchymal Enhancement at Baseline and After Training(2014)66 cited
- → The Patient Experience in Radiology: Observations From Over 3,500 Patient Feedback Reports in a Single Institution(2016)36 cited
- → What Do Patients Tweet About Their Mammography Experience?(2016)34 cited
- → Differences between human and machine perception in medical diagnosis(2022)30 cited
- → The Service Encounter in Radiology(2015)24 cited