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 (MIDL, 2019)

Information theoretic learning of robust deep representations. - Nicolas Pinchaud (CoRR, 2019)

Unsupervised pre-training helps to conserve views from input distribution. - Nicolas Pinchaud (CoRR, 2019)

Weakly supervised training of pixel resolution segmentation models on whole slide images. - Nicolas Pinchaud (CoRR, 2019)

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; et al. (J. Digit. Imaging, 2021)