Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, and Gene expression and cancer classification.
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence–Assisted Cancer Diagnosis
Prostate Cancer Screening With PSA, Kallikrein Panel, and MRI
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
Genomic characterization of IDH-mutant astrocytoma progression to grade 4 in the treatment setting
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies—Current Status and Next Steps
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer