162 citations · 182 across the 7 of their papers we have counts for
7 papers
Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord
Marina A. Ayad, Ramin Nateghi, Abhishek Sharma +4
Inflammation of the umbilical cord can be seen as a result of ascending intrauterine infection or other inflammatory stimuli. Acute fetal inflammatory response (FIR) is characteriz…
Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images
Abhishek Sharma, Ramin Nateghi, Marina Ayad +2
The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Inflammatory processes in the placenta have short-term, and long-term consequences for of…
Development and prospective validation of a prostate cancer detection, grading, and workflow optimization system at an academic medical center
Ramin Nateghi, Ruoji Zhou, Madeline Saft +17
Artificial intelligence may assist healthcare systems in meeting increasing demand for pathology services while maintaining diagnostic quality and reducing turnaround time and cost…
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…
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram +32
The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of mitoti…
Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network
Ramin Nateghi, Fattaneh Pourakpour
Perineural invasion (PNI) by malignant tumor cells has been reported as an independent indicator of poor prognosis in various cancers. Assessment of PNI in small nerves on glass sl…
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images
Ramin Nateghi, Fattaneh Pourakpour
We propose a two-step domain shift-invariant mitosis cell detection method based on Faster RCNN and a convolutional neural network (CNN). We generate various domain-shifted version…