Detection and analysis of COVID-19 in medical images using deep learning techniques

D Yang, C Martinez, L Visuña, H Khandhar, C Bhatt… - Scientific Reports, 2021 - nature.com
The main purpose of this work is to investigate and compare several deep learning
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …

A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images

X Xu, Q Jia, H Yuan, H Qiu, Y Dong, W **e, Z Yao… - Medical Image …, 2023 - Elsevier
Congenital heart disease (CHD) is the most common type of birth defect. Without timely
detection and treatment, approximately one-third of children with CHD would die in the infant …

Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion

Y Huang, X Huang, A Wang, Q Chen, G Chen… - BMC Medical Informatics …, 2023 - Springer
Background This research aimed to develop a model for individualized treatment decision-
making in inoperable elderly patients with esophageal squamous cell carcinoma (ESCC) …

Multimodal risk prediction with physiological signals, medical images and clinical notes

Y Wang, C Yin, P Zhang - Heliyon, 2024 - cell.com
The broad adoption of electronic health record (EHR) systems brings us a tremendous
amount of clinical data and thus provides opportunities to conduct data-based healthcare …

A novel approach for multi-CHD prediction using IW-LNEF-DJRNN model based on 3D CT images

TP Anish, PMJ Prathap - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract Congenital Heart Disease (CHD), which affects humans, is a general birth defect.
For preventing the risk of severe affection, CHD's diagnosis and monitoring are significant. In …

Building a risk prediction model for postoperative pulmonary vein obstruction via quantitative analysis of CTA Images

Y Pei, G Shi, W **a, C Wen, D Sun… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Total anomalous pulmonary venous connection (TAPVC) is a rare but mortal congenital
heart disease in children and can be repaired by surgical operations. However, some …

Multi-modal data fusion for land-subsidence image improvement in PSInSAR analysis

K Shimosato, N Ukita - IEEE Access, 2021 - ieeexplore.ieee.org
There are three popular methods to understand the land subsidence: leveling, Global
Navigation Satellite System, and Interferometric Synthetic Aperture Radar (InSAR) analysis …

Multi-modal Medical Data Fusion using Deep Learning

D Haritha, B Sandhya - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
Various modalities, each with a characteristic feature, have evolved over the years in the
medical domain to aid the identification and diagnosis of the diseases. The focus of research …

Diagnosing skin lesion using multi-modal analysis

R Nijhawan, D Bhatnagar, S Roy - 2022 5th International …, 2022 - ieeexplore.ieee.org
The vast expansion of modalities in the medical field has helped identify and cure many
diseases. Each modality has its specific characteristic feature. Multi-modal data analysis …

Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images

Y Pei, G Shi, J Li, D Sun, C Wen, J Li, M Huang… - … Medical Imaging and …, 2023 - Elsevier
Total anomalous pulmonary venous connection (TAPVC) is a rare congenital heart disease,
with which some patients suffer from postoperative pulmonary venous obstruction (PPVO) …