Jack Zeineh
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Breast Cancer Treatment Studies, Medical Image Segmentation Techniques, Parkinson's Disease Mechanisms and Treatments
Most-Cited Works
- → BACH: Grand challenge on breast cancer histology images(2019)650 cited
- → Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy(2019)138 cited
- → PAIP 2019: Liver cancer segmentation challenge(2020)111 cited
- → Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment(2022)45 cited
- → Development and validation of a novel automated Gleason grade and molecular profile that define a highly predictive prostate cancer progression algorithm-based test(2018)43 cited
- → Telecytology of fine‐needle aspiration biopsies of the pancreas: A study of well‐differentiated adenocarcinoma and chronic pancreatitis with atypical epithelial repair changes(2003)39 cited
- → Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years(2022)23 cited
- → Ensemble Network for Region Identification in Breast Histopathology Slides(2018)22 cited
- → Antemortem detection of Parkinson’s disease pathology in peripheral biopsies using artificial intelligence(2022)16 cited
- → Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images(2014)8 cited