Latest AI and machine learning research in covid-19 for healthcare professionals.
Existing text-to-image models often rely on parameter fine-tuning techniques such as Low-Rank Adap...
Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacki...
Aptamers are short, single-stranded DNA or RNA molecules known for their high specificity and affini...
COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in ...
Birds' Eye View (BEV) semantic segmentation is an indispensable perception task in end-to-end auto...
In the manufacturing of therapeutic monoclonal antibodies (mAbs), mechanistic models can aid the eva...
People of all ages enjoy chocolate, and its popularity is attributed to its pleasant taste and aroma...
We present 3D PixBrush, a method for performing image-driven edits of local regions on 3D meshes. ...
To advance real-world fashion image editing, we analyze existing two-stage pipelines(mask generati...
Therapeutic antibodies require not only high-affinity target engagement, but also favorable manufa...
Antibody engineering is essential for developing therapeutics and advancing biomedical research. T...
The standard enthalpy of formation (Δ°) is a fundamental thermodynamic property that is essential fo...
Instance segmentation of novel objects instances in RGB images, given some example images for each...
Document shadow removal is a crucial task in the field of document image enhancement. However, exi...
Understanding the vast noncoding cancer genome requires cutting-edge, high-resolution, and accessibl...
We introduce and validate the lottery codec hypothesis, which states that untrained subnetworks wi...
Text-to-image generation has greatly advanced content creation, yet accurately rendering visual te...
Due to its invariance to rigid transformations such as rotations and reflections, Procrustes-Wasse...
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high fa...
Recent advancements in deep learning for medical image segmentation are often limited by the scarc...
Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for ...