Latest AI and machine learning research in covid-19 for healthcare professionals.
Accurate prediction of antibody-antigen binding affinity is fundamental to therapeutic design, yet r...
Edge-based multimodal medical monitoring requires models that balance diagnostic accuracy with sever...
The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) under...
Generative object compositing methods have shown remarkable ability to seamlessly insert objects int...
Adapting vision-language models to remote sensing imagery presents a fundamental challenge: both the...
Despite remarkable advances in image-driven stereo matching over the past decade, Synthetic-to-Reali...
Just Recognizable Difference (JRD) boosts coding efficiency for machine vision through visibility th...
Virtual Try-On (VTON) has seen rapid advancements, providing a strong foundation for generative fash...
Purpose: To develop and evaluate a deep learning (DL) method for free-breathing phase-sensitive inve...
Referring Expression Segmentation (RES) aims to segment image regions described by natural-language ...
For applications including facial identification, forensic analysis, photographic improvement, and m...
Background: The Therapeutic Distance framework (Paper 1) achieved AUC 0.61 for orbit-based mortality...
Accurate classification requires not only high predictive accuracy but also well-calibrated confiden...
We introduce region-specific image refinement as a dedicated problem setting: given an input image a...
Multimodal change detection (MMCD) identifies changed areas in multimodal remote sensing (RS) data, ...
We present Moondream Segmentation, a referring image segmentation extension of Moondream 3, a vision...
Data heterogeneity hinders clinical deployment of medical image analysis models, and generative data...
An assumption often made in supervised learning is that the training and testing sets have the same ...
During the COVID-19 pandemic, reported incidence data played a central role in public health surveil...
Background: Previous recommendations on screening for prostate cancer relied on ongoing trials of sc...
Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognos...