Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstruction

Lensless cameras disregard the conventional design that imaging should mimic the human eye. This i...

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting

Outfit generation is a challenging task in the field of fashion technology, in which the aim is to...

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation

Multi-modal 3D semantic segmentation is vital for applications such as autonomous driving and virt...

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation

Segment Anything Model (SAM) has demonstrated impressive zero-shot performance and brought a range...

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding

fMRI (functional Magnetic Resonance Imaging) visual decoding involves decoding the original image ...

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation

The retroperitoneum hosts a variety of tumors, including rare benign and malignant types, which po...

MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images

Masking strategies commonly employed in natural language processing are still underexplored in vis...

Testing the equivalency of human "predators" and deep neural networks in the detection of cryptic moths.

Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the...

Feb 2025 39589804
A network-driven framework for enhancing gene-disease association studies in coronary artery disease

Over the last decade, genome-wide association studies (GWAS) have successfully identified numerous...

Full-scale Representation Guided Network for Retinal Vessel Segmentation

The U-Net architecture and its variants have remained state-of-the-art (SOTA) for retinal vessel s...

A Robust Support Vector Machine Approach for Raman COVID-19 Data Classification

Recent advances in healthcare technologies have led to the availability of large amounts of biolog...

Testing Conditional Mean Independence Using Generative Neural Networks

Conditional mean independence (CMI) testing is crucial for statistical tasks including model deter...

A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This st...

SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches

We introduce SketchYourSeg, a novel framework that establishes freehand sketches as a powerful que...

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals

Protein-based therapeutics play a pivotal role in modern medicine targeting various diseases. Desp...

FlatTrack: Eye-tracking with ultra-thin lensless cameras

Existing eye trackers use cameras based on thick compound optical elements, necessitating the came...

Efficient Sparse Flow Decomposition Methods for RNA Multi-Assembly

Decomposing a flow on a Directed Acyclic Graph (DAG) into a weighted sum of a small number of path...

Effective Defect Detection Using Instance Segmentation for NDI

Ultrasonic testing is a common Non-Destructive Inspection (NDI) method used in aerospace manufactu...

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