PyTorch implementation and pretrained models for DINO. For details, see Emerging Properties in Self-Supervised Vision Transformers. Run DINO with ViT-small network on a single node with 8 GPUs for 100 ...

This important work presents a self-supervised method for the segmentation of 3D cells in fluorescent microscopy images, conveniently packaged as a Napari plugin and tested on an annotated dataset.

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.

Machine learning is rapidly emerging as one of the most transformative technologies in the digital age. It combines the principles of computer science, statistics, and data analysis to develop ...

The field of surgical computer vision has undergone considerable breakthroughs in recent years with the rising popularity of deep neural network-based methods. However, standard fully-supervised ...

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania15213, United States Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, ...

Noise is ever present in seismic data and arises from numerous sources and is continually evolving, both spatially and temporally. The use of supervised deep learning procedures for denoising of ...