Tzu‐Hsi Song
Boston Children's Hospital(US)Harvard University(US)
Publications by Year
Research Areas
AI in cancer detection, Digital Imaging for Blood Diseases, Cell Image Analysis Techniques, Digital Holography and Microscopy, Image Processing Techniques and Applications
Most-Cited Works
- → Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images(2017)66 cited
- → Simultaneous Cell Detection and Classification in Bone Marrow Histology Images(2018)63 cited
- → Deep learning based digital cell profiles for risk stratification of urine cytology images(2021)47 cited
- → Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images(2017)20 cited
- → Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks(2021)11 cited
- → Breast Cancer‐Derived Extracellular Vesicles Modulate the Cytoplasmic and Cytoskeletal Dynamics of Blood‐Brain Barrier Endothelial Cells(2025)11 cited
- → Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images(2017)8 cited
- → Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach(2019)4 cited
- → Fine-grained forecasting of COVID-19 trends at the county level in the United States(2025)4 cited
- → Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line Holography(2021)3 cited