Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

This is the authors' PyTorch implementation of CUTS, MICCAI 2024. The official version is maintained in the Lab GitHub repo. Please be mindful that these datasets are relatively small in sample size.

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...

Medical imaging analysis plays a pivotal role in clinical decision-making, aiding in diagnosis, treatment planning, and monitoring. The advent of deep learning has significantly enhanced the ...

Abstract: Medical image segmentation is an important task in medical imaging, as it serves as the first step for clinical diagnosis and treatment planning. While major success has been reported using ...

Fawad is a Telecommunications Engineer and a cybersecurity writer at MUO. He has been writing on security and privacy topics since 2017 for publications like WizCase, vpnMentor, and many others. He ...

Abstract: Unsupervised domain adaption (UDA), which aims to enhance the segmentation performance of deep models on unlabeled data, has recently drawn much attention. In this paper, we propose a novel ...

In this paper we evaluate two unsupervised approaches to denoise Magnetic Resonance Images (MRI) in the complex image space using the raw information that k-space holds. The first method is based on ...

Image segmentation is the process of partitioning the set of image pixels into subsets, where the pixels in each subset are related, e.g. with respect to their intensities and/or locations.