E Longjiang
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Lung Cancer Diagnosis and Treatment, Bacterial Identification and Susceptibility Testing, Advanced Neural Network Applications, Advanced biosensing and bioanalysis techniques
Most-Cited Works
- → TRF1 and TRF2 use different mechanisms to find telomeric DNA but share a novel mechanism to search for protein partners at telomeres(2013)75 cited
- → Using deep‐learning techniques for pulmonary‐thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs(2019)38 cited
- → Image‐based deep learning in diagnosing the etiology of pneumonia on pediatric chest X‐rays(2020)16 cited
- → Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs(2019)8 cited
- → Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks(2023)6 cited
- → Using a MAP-MRF model to improve 3D mesh segmentation algorithms(2013)3 cited
- → Rapid and automatic assessment of early gestational age using computer vision and biometric measurements based on ultrasound video(2022)1 cited
- → Lung Target Areas Segmentation Via a Dual Multi-Modal Self-Attention Network Using Chest Radiology Images and Reports(2025)