Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Abstract: Accurate segmentation of multimodal medical images with missing modalities remains a critical challenge due to incomplete data often encountered in clinical practice. Lack of ...
The model, called SHARP, can reconstruct a photorealistic 3D scene from a single image in under a second. Here are some examples.
Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex ...
AI chatbots vs real doctors. Learn about the critical health questions where human physicians still outperform AI and why ...
Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...
A data breach exposed photos and ID cards of women who signed up for a fast-growing app for women to share details of men they might date. By Isabella Kwai A fast-growing app for women was hacked ...
In this work, we introduce RGBChem, a novel approach for converting chemical compounds into image representations, which are subsequently used to train a convolutional neural network (CNN) to predict ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback