17 citations · 24 across the 5 of their papers we have counts for
5 papers
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology: A Step Closer to Widescale Deployment
Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardi +7
Deep learning systems have been proposed to improve the objectivity and efficiency of Ki- 67 PI scoring. The challenge is that while very accurate, deep learning techniques suffer…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Preserving Dense Features for Ki67 Nuclei Detection
Seyed Hossein Mirjahanmardi, Melanie Dawe, Anthony Fyles +4
Nuclei detection is a key task in Ki67 proliferation index estimation in breast cancer images. Deep learning algorithms have shown strong potential in nuclei detection tasks. Howev…
Mitosis Detection for Breast Cancer Pathology Images Using UV-Net
Seyed H. Mirjahanmardi, Samir Mitha, Salar Razavi +2
The difficulty of detecting mitosis and its similarity to non-mitosis objects has remained a challenge in computational pathology. The lack of publicly available data has added mor…
Low-Dispersive Permittivity Measurement Based on Transmitted Power Only
Seyed Hossein Mirjahanmardi, Omar Ramahi
This paper presents a complex permittivity measurement method for low-dispersive materials as a function of frequency. The introduced method relies only on transmitted power signal…