Daniel J. Mollura
Medical Care Development International(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, Global Health and Surgery
Most-Cited Works
- → Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning(2016)5,704 cited
- → Pulmonary Pathologic Findings of Fatal 2009 Pandemic Influenza A/H1N1 Viral Infections(2010)425 cited
- → A review on segmentation of positron emission tomography images(2014)361 cited
- → Evaluation of candidate vaccine approaches for MERS-CoV(2015)312 cited
- → Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends(2015)267 cited
- → Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks(2016)263 cited
- → Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis(2019)239 cited
- → Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology(2020)205 cited
- → CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation(2018)179 cited
- → A Generic Approach to Pathological Lung Segmentation(2014)167 cited