Pulmonology | Radiology Annotations of Lung Abnormalities in Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. November 16, 2022
Gynecology | Medical Imaging | Oncology Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images. July 16, 2022
Radiology Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays. July 16, 2022
Radiology A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays. July 16, 2022
Pediatrics | Radiology Novel loss functions for ensemble-based medical image classification. December 30, 2021
Radiology Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs. November 12, 2020
Infectious Diseases | Pulmonology | Radiology Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. August 5, 2020
Radiology Modality-specific deep learning model ensembles toward improving TB detection in chest radiographs. April 7, 2020
Radiology Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles. March 26, 2020
Pathology Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. June 10, 2019
Pathology Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images. November 14, 2018
Artificial Intelligence | Computer-aided diagnosis | Medical Imaging | Pathology Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. November 14, 2018