Daniel J. Mollura
According to our database1,
Daniel J. Mollura
authored at least 50 papers
between 2008 and 2022.
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Bibliography
2022
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation.
IEEE Access, 2022
2021
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation.
CoRR, 2021
2020
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria.
J. Digit. Imaging, 2020
2018
Medical Image Anal., 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.
CoRR, 2017
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
IEEE Trans. Medical Imaging, 2016
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Segmentation label propagation using deep convolutional neural networks and dense conditional random field.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.
Medical Image Anal., 2015
Highly precise partial volume correction for PET images: An iterative approach via shape consistency.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models.
IEEE Trans. Biomed. Eng., 2014
Comput. Biol. Medicine, 2014
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images.
Medical Image Anal., 2013
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections.
Comput. Biol. Medicine, 2013
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features.
J. Digit. Imaging, 2012
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84].
Comput. Medical Imaging Graph., 2012
Comput. Medical Imaging Graph., 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Characterizing non-linear dependencies among pairs of clinical variables and imaging data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2008
Proceedings of the AMIA 2008, 2008