Nicolas Pinchaud

According to our database, Nicolas Pinchaud authored at least 5 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Caroline Bivik Stadler, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke, Nicolas Pinchaud, Martin Hedlund, Filip Landgren, Mischa Woisetschläger, Daniel Forsberg

J. Digit. Imaging, 2021

2019

Weakly supervised training of pixel resolution segmentation models on whole slide images.

Nicolas Pinchaud

CoRR, 2019

Unsupervised pre-training helps to conserve views from input distribution.

Nicolas Pinchaud

CoRR, 2019

Information theoretic learning of robust deep representations.

Nicolas Pinchaud

CoRR, 2019

Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data.

Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019