research
∙
03/23/2023
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Molecular classification has transformed the management of brain tumors ...
share
research
∙
03/02/2023
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Learning high-quality, self-supervised, visual representations is essent...
research
∙
12/08/2022
A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems
Most of the existing signcryption schemes generate pseudonym by key gene...
research
∙
06/16/2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
Accurate intraoperative diagnosis is essential for providing safe and ef...
research
∙
04/14/2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Dense prediction in medical volume provides enriched guidance for clinic...
research
∙
12/22/2021
Fusion of medical imaging and electronic health records with attention and multi-head machanisms
Doctors often make diagonostic decisions based on patient's image scans,...
research
∙
08/09/2021
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
Face anti-spoofing is an important task to protect the security of face ...
research
∙
08/08/2021
Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology
Background: Accurate diagnosis of skull base tumors is essential for pro...
research
∙
04/01/2021
Target Transformed Regression for Accurate Tracking
Accurate tracking is still a challenging task due to appearance variatio...
research
∙
11/24/2020
Blind deblurring for microscopic pathology images using deep learning networks
Artificial Intelligence (AI)-powered pathology is a revolutionary step i...
research
∙
04/15/2020
