CoMIR: Contrastive Multimodal Image Representation for Registration

1 code implementation • NeurIPS 2020 • Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Nataša Sladoje

We propose contrastive coding to learn shared, dense image representations, referred to as CoMIRs (Contrastive Multimodal Image Representations).

Image-to-Image Translation

Introducing Hann windows for reducing edge-effects in patch-based image segmentation

no code implementations • 17 Oct 2019 • Nicolas Pielawski, Carolina Wählby

There is a limitation in the size of an image that can be processed using computationally demanding methods such as e. g. Convolutional Neural Networks (CNNs).

Image Segmentation Semantic Segmentation +1

In Silico Prediction of Cell Traction Forces

1 code implementation • 16 Oct 2019 • Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby

Traction Force Microscopy (TFM) is a technique used to determine the tensions that a biological cell conveys to the underlying surface.