I. Zingman

Deep Learning–Based Detection of Endothelial Tip Cells in the Oxygen-Induced Retinopathy Model

T. Schönberger, I. Zingman, N. Zippel, 2020, Toxicologic pathology.

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

I. Zingman, B. Stierstorfer, C. Lempp, 2022, ArXiv.

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

I. Zingman, B. Stierstorfer, C. Lempp, 2022, ArXiv.

Detection of Fragmented Rectangular Enclosures in Very High Resolution Remote Sensing Images

Dietmar Saupe, Otávio Augusto Bizetto Penatti, Igor Zingman, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

I. Zingman, B. Stierstorfer, C. Lempp, 2022, Medical Image Anal..

Crowd workers proven useful : a comparative study of subjective video quality assessment

Dietmar Saupe, Shujun Li, Franz Hahn, 2016, QoMEX 2016.

Detection of incomplete enclosures of rectangular shape in remotely sensed images

Dietmar Saupe, Igor Zingman, Karsten Lambers, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Detection of incomplete rectangular contours with application in archaeology

Dietmar Saupe, Igor Zingman, Karsten Lambers, 2015 .

A comparative evaluation of image-to-image translation methods for stain transfer in histopathology

Ivan Tankoyeu, I. Zingman, Fabian Heinemann, 2023, MIDL.

Reported Attention as a Promising Alternative to Gaze in IQA Tasks

Dietmar Saupe, Franz Hahn, Vlad Hosu, 2016 .